Journal of Applied Bioinformatics & Computational BiologyISSN: 2329-9533

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Articles published in Journal of Applied Bioinformatics & Computational Biology have been cited by esteemed scholars and scientists all around the world. Journal of Applied Bioinformatics & Computational Biology has got h-index 6, which means every article in Journal of Applied Bioinformatics & Computational Biology has got 6 average citations.

Following are the list of articles that have cited the articles published in Journal of Applied Bioinformatics & Computational Biology.

  2020 2019 2018 2017 2016

Year wise published articles

26 18 18 15 8

Year wise citations received

24 42 52 37 41
Journal total citations count 224
Journal impact factor 0.67
Journal 5 years impact factor 2.31
Journal cite score 2.01
Journal h-index 6
Journal h-index since 2016 6

Kaskova ZM, Tsarkova AS, Yampolsky IV (2016) 1001 lights luciferins, luciferases, their mechanisms of action and applications in chemical analysis, biology and medicine. Chemical Society Reviews 45: 6048-6077.

Osipova Zm, Synthesis of Luciferin, Oxyluciferin and their Analogues for Studying the Mechanisms of Bioluminescence of the Soil Worm Fridericia Heliota and Higher Fungi.

Shaiek R, Raboudi F, Ayadi N, Aloui S, Salghi R, et al. (2015) Structural modeling of plant secondary metabolites characterized by an inhibitory potential of insect enzymes. J Appl Bioinform Comput Biol

Ovchinnikov EL, AdyshirinZade KA, Romashova NA, Vladimirova TY, Minaeva TI (2015) Applied Bioinformatics in Research of Hearing and Methods of Mathematical Analysis in Establishment of Distribution of Acoustical Receptors on Frequencies.

Ovchinnikov EL, AdyshirinZade KA, Romashova NA, Vladimirova TY, Minaeva (2015) Applied bioinformatics in the study of hearing and Statistical methods in substantiating the distribution of auditory receptors for perceived frequencies. Trends of Science and Education in the Contemporary World 1: 11-14

Ovchinnikov EL, AdyshirinZade KA, Romashova NA, Vladimirova TY, Minaeva (2016) Computer Inner Ear Biology and Corti’s Organ and the Structure Definition as Effective Parts of the Cochlear Duct.

Ovchinnikov EL, AdyshirinZade KA, Romashova NA, Vladimirova TY, Minaeva TI (2016) Hearing Receptors and Internal Hair Cells and the Structurally and Functional Organization. 

Ovchinnikov EL, AdyshirinZade KA, Romashova NA, Vladimirova TY, Minaeva TI Computer Biology of the Internal Ear and Apical Ligament of Cochlear Duct Membranes, Calculation of Axial Parameters.

Ovchinnikov EL, AdyshirinZade KA, Romashova NA, Vladimirova TY, Minaeva TI (2015) Applied Bioinformatics in Research of Hearing and W. Koenig A New Frequency Scale In Distributions of Acoustical Receptors on the Perceived Frequencies.

Ovchinnikov EL, Adyshirin Zade KA, Alexandrova NN (2016) Frequent Perception of Sound and Height of Tones in Physics. Science and Education in the Modern World. Collection of Scientific Papers.

Ovchinnikov EL, AdyshirinZade KA, Romashova NA, Vladimirova TY, Minaeva TI (2016) Computer Biology Of The Inner Ear and Cortic Organ. Definition of Structure as an Effective Part of the Sleep Protection

Ovchinnikov EL, AdyshirinZade KA, Romashova NA, Vladimirova TY, Minaeva TI (2015) Computer Biology of the Internal Ear and Noninvasive Calculation of Cochlear Duct Length.

Ovchinnikov EL, AdyshirinZade KA, Romashova NA, Vladimirova TY, Minaeva TI (2015) Applied Bioinformatics in Hearing Research and Statistical Methods in Substan-Tiation of Acoustical Receptors Distribution on the Perceived Frequencies.

Ovchinnikov EL, Adyshirin Zade KA, Romashova NA, Vladimirova TYu, Minaeva TI (2015) Computer Biology of the Inner Ear and Effective Length of the Snail Protot and its Structures.

Ovchinnikov EL, Adyshirin Zade KA, Romashova NA, Vladimirova TYu, Minaeva TI (2015) Computer Biology of the Internal Ear and Apical Ligament of Cochlear Duct Membranes, Noninvasive Calculation of Axial Parameters.

Yashin SS, Shiryazdanov RW, Koldomasov IV, Tarasenko DS, Davydkin Gogel MM, Drob VV (2016) the Weber-Ovchinnikov Law.

Sankarasubramanian J, Pavithra KB, Kavitha B (2015) Identification of potent inhibitor for RNA dependent RNA polymerase (RDRP) of dengue virus serotype-3 a molecular docking study. J Appl Bioinform Comput Biol 4: 1-2.

Kirkpatrick CL, Martins D, Redder P, Frandi A, Mignolet J, et al. (2016) Growth control switch by a DNA-damage-inducible toxin–antitoxin system in Caulobacter crescentus. Nature microbiology 1: 16008.

Prados J, Linder P, Redder P (2016) TSS-EMOTE, a refined protocol for a more complete and less biased global mapping of transcription start sites in bacterial pathogens. BMC genomics 17: 849.

Taghiyari, H. R., Mobini, K., Sarvari-Samadi, Y., Doosti, Z., Karimi, F., Asghari, M., ... & Nouri, P. (2013). Effects of nano-wollastonite on thermal conductivity coefficient of medium-density fiberboard. J Nanomater Mol Nanotechnol; 2: 1. of, 5, 2.
HAGHIGHI, P. A., TAGHIYARI, H. R., & NAGHI, K. A. (2013). The optimum level of nano-wollastonite consumption as fire-retardant in poplar wood (Populus nigra).
Taghiyari, H. R. (2014). Effects of nanosilver-impregnation and alfalfa-intercropping on fluid transfer in downy black poplar wood. Maderas. Ciencia y tecnología, 16(1), 49-62.
Taghiyari, H. R., Ghorbani, M., & Kalantari, A. (2013). Effects of silver and copper nanoparticles on gas and liquid permeability of heat-treated solid woods. Special Topics & Reviews in Porous Media: An International Journal, 4(1).
Tong, X. F., Lu, H. Q., & Liu, Q. S. (2004, August). An effective and fast soccer ball detection and tracking method. In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. (Vol. 4, pp. 795-798). IEEE.
Carvalho, L., Mota, E., Aguiar, R., Lima, A. F., & de Souza, J. N. (2005, June). An E-model implementation for speech quality evaluation in VoIP systems. In 10th IEEE Symposium on Computers and Communications (ISCC'05) (pp. 933-938). IEEE.
Abuín, J. M., Pichel, J. C., Pena, T. F., & Amigo, J. (2015). BigBWA: approaching the Burrows–Wheeler aligner to Big Data technologies. Bioinformatics, 31(24), 4003-4005.
Abuín, J. M., Pichel, J. C., Pena, T. F., & Amigo, J. (2016). SparkBWA: speeding up the alignment of high-throughput DNA sequencing data. PloS one, 11(5), e0155461.
Yuan, J., Chen, S., Jiao, W., Wang, L., Wang, L., Ye, W., ... & Chen, Z. J. (2017). Both maternally and paternally imprinted genes regulate seed development in rice. New Phytologist, 216(2), 373-387.
Georganas, E., Buluc, A., Chapman, J., Oliker, L., Rokhsar, D., & Yelick, K. (2015, May). meraligner: A fully parallel sequence aligner. In 2015 IEEE International Parallel and Distributed Processing Symposium (pp. 561-570). IEEE.
Yin, Z., Lan, H., Tan, G., Lu, M., Vasilakos, A. V., & Liu, W. (2017). Computing platforms for big biological data analytics: perspectives and challenges. Computational and structural biotechnology journal, 15, 403-411.
Yin, Z., Lan, H., Tan, G., Lu, M., Vasilakos, A. V., & Liu, W. (2017). Computing platforms for big biological data analytics: perspectives and challenges. Computational and structural biotechnology journal, 15, 403-411.
Gonzalez-Dominguez, J., Liu, Y., & Schmidt, B. (2016). Parallel and scalable short-read alignment on multi-core clusters using UPC++. PloS one, 11(1), e0145490.
Herzeel, C., Ashby, T. J., Costanza, P., & De Meuter, W. (2013, September). Resolving Load Balancing Issues in BWA on NUMA multicore architectures. In International Conference on Parallel Processing and Applied Mathematics (pp. 227-236). Springer, Berlin, Heidelberg.
Tovar, B., da Silva, R. F., Juve, G., Deelman, E., Allcock, W., Thain, D., & Livny, M. (2017). A job sizing strategy for high-throughput scientific workflows. IEEE Transactions on Parallel and Distributed Systems, 29(2), 240-253.
Mziaut, H., Mulligan, B., Hoboth, P., Otto, O., Ivanova, A., Herbig, M., ... & Solimena, M. (2016). The F-actin modifier villin regulates insulin granule dynamics and exocytosis downstream of islet cell autoantigen 512. Molecular metabolism, 5(8), 656-668.
Kaiser, J., Gad, R., Süß, T., Padua, F., Nagel, L., & Brinkmann, A. (2016, September). Deduplication potential of HPC applications’ checkpoints. In 2016 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 413-422). IEEE.
Duan, X., Xu, K., Chan, Y., Hundt, C., Schmidt, B., Balaji, P., & Liu, W. (2017, September). S-aligner: Ultrascalable read mapping on sunway taihu light. In 2017 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 36-46). IEEE.
Duan, X., Xu, K., Chan, Y., Hundt, C., Schmidt, B., Balaji, P., & Liu, W. (2017, September). S-aligner: Ultrascalable read mapping on sunway taihu light. In 2017 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 36-46). IEEE.
Rostovskaya, M., Donsante, S., Sacchetti, B., Alexopoulou, D., Klemroth, S., Dahl, A., ... & Anastassiadis, K. (2018). Clonal analysis delineates transcriptional programs of osteogenic and adipogenic lineages of adult mouse skeletal progenitors. Stem cell reports, 11(1), 212-227.
Li, J., Zhou, H., & Wang, W. (2006, December). Gradual cube: Customize profile on mobile olap. In Sixth International Conference on Data Mining (ICDM'06) (pp. 943-947). IEEE.
Matsumoto, M., Fujimoto, J., Tekawa, M., & Tamura, T. (2004, May). A macroeconomic analysis of the relationship between IT industries and environmental policies. In IEEE International Symposium on Electronics and the Environment, 2004. Conference Record. 2004 (pp. 17-22). IEEE.
González-Domínguez, J., Hundt, C., & Schmidt, B. (2018). parSRA: A framework for the parallel execution of short read aligners on compute clusters. Journal of Computational Science, 25, 134-139.
Chen, S., & Senar, M. A. (2019). Exploring efficient data parallelism for genome read mapping on multicore and manycore architectures. Parallel Computing, 87, 11-24.
Shi, L., & Wang, Z. (2019). Computational strategies for scalable genomics analysis. Genes, 10(12), 1017.
Rengasamy, V., & Madduri, K. (2016, June). SPRITE: a fast parallel SNP detection pipeline. In International Conference on High Performance Computing (pp. 159-177). Springer, Cham.
Zhang, G. L., Li, B., & Schlichtmann, U. (2018, July). Timing with Virtual Signal Synchronization for Circuit Performance and Netlist Security. In 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (pp. 715-718). IEEE.
Rengasamy, V. (2018). Engineering High Performance Workflows for End-to-End Acceleration of Genomic Applications. The Pennsylvania State University.
Zou, Y., Zhu, Y., Li, Y., Wu, F. X., & Wang, J. (2021). Parallel computing for genome sequence processing. Briefings in Bioinformatics.
Makris, A., Michail, D., Varlamis, I., Dimitropoulos, C., Tserpes, K., Tsatsaronis, G., ... & Sawyer, M. (2017, July). Parallelization of large-scale Drug-Protein binding experiments. In 2017 International Conference on High Performance Computing & Simulation (HPCS) (pp. 201-208). IEEE.
Jacquemin, J., Hohmann, N., Buti, M., Selvaggi, A., Müller, T., Koch, M. A., & Schmid, K. J. (2016). Levels and patterns of genetic diversity differ between two closely related endemic Arabidopsis species. BioRxiv, 048785.
Ahmad, T., Al Ars, Z., & Hofstee, H. P. (2021). [email protected] Scale: Scalable and high-performance variant calling on cluster environments. GigaScience, 10(9), giab057.
Xia, Z., Cui, Y., Zhang, A., Tang, T., Peng, L., Huang, C., ... & Liao, X. (2021). A Review of Parallel Implementations for the Smith–Waterman Algorithm. Interdisciplinary Sciences: Computational Life Sciences, 1-14.
Alsulaiman, T., Osia, B., Malkova, A., & Oliveira, S. (2017, October). Concurrent MMBIRFinder. In 2017 IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) (pp. 1-6). IEEE.
Abuín Mosquera, J. M., Pichel Campos, J. C., Fernández Pena, A. T., & Amigo Lechuga, J. (2016). SparkBWA: Speeding Up the Alignment of High-Throughput DNA Sequencing Data.
Xu, K., Duan, X., Meng, X., Li, X., Schmidt, B., & Liu, W. (2020, August). SWMapper: Scalable Read Mapper on SunWay TaihuLight. In 49th International Conference on Parallel Processing-ICPP (pp. 1-10).
Xu, K., Duan, X., Meng, X., Li, X., Schmidt, B., & Liu, W. (2020, August). SWMapper: Scalable Read Mapper on SunWay TaihuLight. In 49th International Conference on Parallel Processing-ICPP (pp. 1-10).
Liang, Z., Zhou, P., Wang, Y., Zhang, Y., Li, D., Su, X., ... & Wang, W. (2021). Pulmonary Adenofibroma: Clinicopathological and Genetic Analysis of 7 Cases With Literature Review. Frontiers in Oncology, 2613.
Ndzi, E. N., Nkenfou, C. N., Mekue, L. M., Zentilin, L., Tamgue, O., Pefura, E. W. Y., ... & Ndjolo, A. (2019). MicroRNA hsa-miR-29a-3p is a plasma biomarker for the differential diagnosis and monitoring of tuberculosis. Tuberculosis, 114, 69-76.
Ndzi, E. N., Viswanath, A. N. I., Adzemye, N. G., Tamgue, O., Nsongka, M. V., Nair, A. S., & Nkenfou, C. N. (2019). Upregulated bovine tuberculosis microRNAs trigger oncogenic pathways: an In silico perception. International journal of mycobacteriology, 8(1), 70.
Roy, D., Ehtesham, N. Z., & Hasnain, S. E. (2021). Is Mycobacterium tuberculosis carcinogenic to humans?. The FASEB Journal, 35(9), e21853.
Andújar, I., Gómez, D., Pérez, L., Vicente, O., & Lorenzo, J. C. (2019). Auxins, auxin transport inhibitors, and competitors for auxin receptors do not show statistically significant differences in 212 molecular descriptors. Romanian Biotechnological Letters, 24(3), 407-411.
Ndzi, E. N., Nkenfou, C. N., Mekue, L. M., Zentilin, L., Tamgue, O., Pefura, E. W. Y., ... & Ndjolo, A. (2019). MicroRNA hsa-miR-29a-3p is a plasma biomarker for the differential diagnosis and monitoring of tuberculosis. Tuberculosis, 114, 69-76.
Andújar, I., Gómez, D., Pérez, L., & Lorenzo, J. C. (2019). Chemo-Informatic Comparison of Gibberellins and Anti-Gibberellins. J Pharm Drug Res, 2(1), 54-63.
Andújar, I., Gómez, D., Pérez, L., & Lorenzo, J. C. (2019). Terminal secondary C (sp3), aliphatic secondary C (sp2), aliphatic tertiary C (sp2), primary amine (aliphatic), ring secondary C (sp3) and imidazole numbers can be used to discriminate between cytokinins and cytokinin antagonists. Plant Cell, Tissue and Organ Culture (PCTOC), 138(1), 207-213.
Ogunwa, T. H. (2018). Computer-aided modeling of interaction between aldehyde dehydrogenase and Garcinia biflavonoids. International Journal of Computer Applications, 975, 8887.
Ogunwa, T. H., Fasimoye, R. Y., & Adeyelu, T. T. (2019). Studies on the interaction mechanisms of Garcinia kolaviron constituents with selected diabetes and neurodegenerative disease targets. Journal of Proteins and Proteomics, 10(3), 221-234.
Torkamaneh, D., Boyle, B., St-Cyr, J., Légaré, G., Pomerleau, S., & Belzile, F. (2020). NanoGBS: a miniaturized procedure for GBS library preparation. Frontiers in genetics, 11, 67.
Torkamaneh, D., Laroche, J., Boyle, B., & Belzile, F. (2020). DepthFinder: a tool to determine the optimal read depth for reduced-representation sequencing. Bioinformatics, 36(1), 26-32.
Ashraf, J., Mughal, E. U., Alsantali, R. I., Obaid, R. J., Sadiq, A., Naeem, N., ... & Ahmed, S. A. (2021). Structure-based designing and synthesis of 2-phenylchromone derivatives as potent tyrosinase inhibitors: In vitro and in silico studies. Bioorganic & Medicinal Chemistry, 35, 116057.
Zafar, W., Sumrra, S. H., & Chohan, Z. H. (2021). A Review: Pharmacological Aspects of Metal Based 1, 2, 4-Triazole Derived Schiff Bases. European Journal of Medicinal Chemistry, 113602.
Dimova, V., Jankulovska, M. S., & Jankulovska, M. A QUANTUM CHEMICAL INVESTIGATION OF N1-SUBSTITUTED 1, 2, 4-TRIAZOLE.
Alsantali, R. I., Mughal, E. U., Naeem, N., Alsharif, M. A., Sadiq, A., Ali, A., ... & Ahmed, S. A. (2021). Flavone-based Hydrazones as New Tyrosinase Inhibitors: Synthetic Imines with Emerging Biological Potential, SAR, Molecular Docking and Drug-likeness Studies. Journal of Molecular Structure, 131933.
Allam, L., Ghrifi, F., Mohammed, H., El Hafidi, N., El Jaoudi, R., El Harti, J., ... & Ibrahimi, A. (2020). Targeting the GRP78-dependant SARS-CoV-2 cell entry by peptides and small molecules. Bioinformatics and Biology Insights, 14, 1177932220965505.
Sun, Z. G., Liu, J. H., Zhang, J. M., & Qian, Y. (2019). Research progress of axl inhibitors. Current topics in medicinal chemistry, 19(15), 1338-1349.
Ghrifi, F., Allam, L., Wiame, L., & Ibrahimi, A. (2019). Curcumin-synthetic analogs library screening by docking and quantitative structure–activity relationship studies for AXL tyrosine kinase inhibition in cancers. Journal of Computational Biology, 26(10), 1156-1167.
Ahmadi, R., Sepehri, B., & Ghavami, R. (2019). Development linear and non-linear QSAR models for predicting AXL kinase inhibitory activity of N-[4-(quinolin-4-yloxy) phenyl] benzenesulfonamides. Journal of Receptors and Signal Transduction, 39(3), 264-275.
Shrestha, S., Gurung, D. B., & Gokul, K. C. (2021). Mathematical modeling of temperature variation in breast tissue with and without tumor/cyst during menstrual cycle. Mathematical Modeling and Computing, 8, 192-202.
SHRESTHA, S., KC, G., & GURUNG, D. B. MATHEMATICAL STUDY OF TWO-DIMENSIONAL TEMPERATURE VARIATION IN TUMOR EMBEDDED BREAST TISSUE.
Shrestha, S., & Gokul, K. C. (2021). Temperature Variation in Breast Tissue Model With and Without Tumor Based on Porous Media. Journal of Nepal Mathematical Society, 4(1), 61-75.
Atere, T. G., Akinloye, O. A., Ugbaja, R. N., Ojo, D. A., & Dealtry, G. (2018). In vitro antioxidant capacity and free radical scavenging evaluation of standardized extract of Costus afer leaf. Food Science and Human Wellness, 7(4), 266-272.
Atere, T. G., & Akinloye, O. A. (2019). High dose of standardised extract of Costus afer leaves potentiates cadmium reproductive toxicity in Wistar rats. Andrologia, 51(9), e13360.
Davi, C., Pastor, A., Oliveira, T., de Lima Neto, F. B., Braga-Neto, U., Bigham, A. W., ... & Acioli-Santos, B. (2019). Severe dengue prognosis using human genome data and machine learning. IEEE Transactions on Biomedical Engineering, 66(10), 2861-2868.
Davi, C., Pastor, A., Oliveira, T., Neto, F. B. L., Braga-Neto, U., Bigham, A. W., ... & Acioli-Santos, B. (2018, October). Computational intelligence applied to human genome data for the dengue severity prognosis. In Anais Estendidos do XI Simpósio Brasileiro de Bioinformática (pp. 25-30). SBC.
Pandiyarajan, P., & Thangairulappan, K. (2019). DENGUE SEROTYPE CLASSIFICATION USING DISCRETE WAVELET TRANSFORMATION AND MACHINE LEARNING TECHNIQUES.
Akgül, A., Khoshnaw, S. H., & Abdalrahman, A. S. (2020). Mathematical modeling for enzyme inhibitors with slow and fast subsystems. Arab Journal of Basic and Applied Sciences, 27(1), 442-449.
Ahmed, W., Chowdhury, Z. Z., Kazi, S. N., Johan, M. R. B., Abdelrazek, A. H., Fayaz, H., ... & Khan, T. Y. (2021). Experimental evaluation and numerical verification of enhanced heat transportation by using ultrasonic assisted nanofluids in a closed horizontal circular passage. Case Studies in Thermal Engineering, 26, 101026.
Kharroubi, F., El Kati, Y., Wang, S. L., El Jourmi, M., & Ouahmane, H. (2020, January). A New Maximum Weight Submatrix Solver Tool for Identifying Mutated Driver Pathways in Cancer using Python. In 2020 10th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0895-0900). IEEE.
Kati, Y. E., Wang, S. L., & Kharroubi, F. A Novel Approach for Detecting Driver Mutated Pathways in Glioblastoma Multiform.
Kim, H., & Han, H. (2018). Computer-Aided Multi-Target Management of Emergent Alzheimer's Disease. Bioinformation, 14(4), 167.
Zhang, H. J., Mitchell, S., Fang, Y. H., Tsai, H. M., Piao, L., Ousta, A., ... & Sharp, W. W. (2021). Assessment of Brain Glucose Metabolism Following Cardiac Arrest by [18 F] FDG Positron Emission Tomography. Neurocritical care, 34(1), 64-72.
Slavine, N. V. (2020, June). Rapidly converging 3D Iterative Deconvolution Method for Image Improvement from Different Clinical Modalities. In Digital Holography and Three-Dimensional Imaging (pp. JTh2A-14). Optical Society of America.
Heidari, A. (2017). A comparative computational and experimental study on different vibrational biospectroscopy methods, techniques and applications for human cancer cells in tumor tissues simulation, modeling, research, diagnosis and treatment. Open J Anal Bioanal Chem, 1(1), 014-020.
Heidari, A. (2017). A novel and modern experimental imaging and spectroscopy comparative study on malignant and benign human cancer cells and tissues with the passage of time under white synchrotron radiation. Cancer Sci Res Open Access, 4(2), 1-8.
Gobato, R., & Heidari, A. (2018). Molecular mechanics and quantum chemical study on sites of action of sanguinarine using vibrational spectroscopy based on molecular mechanics and quantum chemical calculations. Malaysian Journal of Chemistry, 20(1), 1-23.
Heidari, A. (2017). Overview of the role of vitamins in reducing negative effect of decapeptyl (triptorelin acetate or pamoate salts) on prostate cancer cells and tissues in prostate cancer treatment process through transformation of malignant prostate tumors into benign prostate tumors under synchrotron radiation. Open J Anal Bioanal Chem, 1(1), 021-026.
Heidari, A. (2018). Adsorption isotherms and kinetics of multi–walled carbon nanotubes (MWCNTs), boron nitride nanotubes (BNNTs), amorphous boron nitride nanotubes (a–BNNTs) and hexagonal boron nitride nanotubes (h–BNNTs) for eliminating carcinoma, sarcoma, lymphoma, leukemia, germ cell tumor and blastoma cancer cells and tissues. Clin Med Rev Case Rep, 5(1), 201.
Heidari, A. (2018). Small–angle neutron scattering (sans) and wide–angle x–ray diffraction (WAXD) comparative study on malignant and benign human cancer cells and tissues under synchrotron radiation. Int J Bioorg Chem Mol Biol, 6(2e), 1-6.
Heidari, A. (2018). Small–angle neutron scattering (sans) and wide–angle x–ray diffraction (WAXD) comparative study on malignant and benign human cancer cells and tissues under synchrotron radiation. Int J Bioorg Chem Mol Biol, 6(2e), 1-6.
Heidari, A., & Gobato, R. (2018). Ultraviolet Photoelectron Spectroscopy (UPS) and Ultraviolet–Visible (UV–Vis) Spectroscopy Comparative Study on Malignant and Benign Human Cancer Cells and Tissues with the Passage of Time under Synchrotron Radiation. Parana Journal of Science and Education, 4(6), 18-33.
Heidari, A., & Gobato, R. (2018). Putrescine, Cadaverine, Spermine and Spermidine–Enhanced Precatalyst Preparation Stabilization and Initiation (EPPSI) Nano Molecules. Parana Journal of Science and Education (PJSE)–v, 4(5), 1-14.

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