Avinash Mishra

490 total citations
23 papers, 330 citations indexed

About

Avinash Mishra is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Avinash Mishra has authored 23 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 7 papers in Materials Chemistry. Recurrent topics in Avinash Mishra's work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (8 papers) and Enzyme Structure and Function (6 papers). Avinash Mishra is often cited by papers focused on Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (8 papers) and Enzyme Structure and Function (6 papers). Avinash Mishra collaborates with scholars based in India, Australia and United States. Avinash Mishra's co-authors include Anurag S. Rathore, B. Jayaram, Abdul Sattar, Ankita Singh, Rahul Kaushik, M. A. Hakim Newton, Asheesh Shanker, Aditya Mittal, Shashank Shekhar and Priyanka Dhingra and has published in prestigious journals such as Scientific Reports, BMC Bioinformatics and Journal of Pharmaceutical Sciences.

In The Last Decade

Avinash Mishra

21 papers receiving 325 citations

Peers

Avinash Mishra

CTM

Yu Wei China

Arash Keshavarzi Arshadi United States

Rajarshi Roy India

Surasak Chunsrivirot Thailand

Leslie Regad France

Francis E. Agamah South Africa

Olivier Sheik Amamuddy South Africa

D. Fearon United Kingdom

Kavyashree Manjunath India

Qingzhen Hou China

Yu Wei China

Avinash Mishra

210 ×1.1

119 ×0.9

CTM

36 ×0.6

35 ×0.6

47 ×1.8

Citations per year, relative to Avinash Mishra Avinash Mishra (= 1×) peers Yu Wei

Countries citing papers authored by Avinash Mishra

Since Specialization

Citations

This map shows the geographic impact of Avinash Mishra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Avinash Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Mishra more than expected).

Fields of papers citing papers by Avinash Mishra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avinash Mishra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Avinash Mishra. The network helps show where Avinash Mishra may publish in the future.

Co-authorship network of co-authors of Avinash Mishra

This figure shows the co-authorship network connecting the top 25 collaborators of Avinash Mishra. A scholar is included among the top collaborators of Avinash Mishra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Avinash Mishra. Avinash Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mishra, Avinash, et al.. (2025). Higher concentration of trehalose dihydrate stabilizes recombinant IgG1 under forced stress conditions. Journal of Pharmaceutical Sciences. 114(2). 1398–1409. 3 indexed citations

Khan, Wajihul Hasan, et al.. (2024). Machine Learning Optimization Approach to Design Multi-Epitope Marburg Vaccine Construct. Biosciences Biotechnology Research Asia. 21(4). 1463–1484. 1 indexed citations

Mishra, Avinash, et al.. (2024). Differentiating stable and unstable protein using convolution neural network and molecular dynamics simulations. Computational Biology and Chemistry. 110. 108081–108081. 2 indexed citations

Mishra, Avinash, et al.. (2024). Mechanistic Explanation of Activation and Inhibition of Crucial Enzymes Involved in Melanin Production. Journal of Computational Biophysics and Chemistry. 24(5). 639–658.

Mishra, Avinash & Anurag S. Rathore. (2022). Pharmacophore screening to identify natural origin compounds to target RNA-dependent RNA polymerase (RdRp) of SARS-CoV2. Molecular Diversity. 26(5). 2613–2629. 5 indexed citations

Khan, Wajihul Hasan, et al.. (2022). Dimerization of SARS-CoV-2 nucleocapsid protein affects sensitivity of ELISA based diagnostics of COVID-19. International Journal of Biological Macromolecules. 200. 428–437. 18 indexed citations

Mishra, Avinash, et al.. (2021). Quantitative Toxicity Prediction via Meta Ensembling of Multitask Deep Learning Models. ACS Omega. 6(18). 12306–12317. 27 indexed citations

Mishra, Avinash & Anurag S. Rathore. (2021). RNA dependent RNA polymerase (RdRp) as a drug target for SARS-CoV2. Journal of Biomolecular Structure and Dynamics. 40(13). 6039–6051. 34 indexed citations

Mishra, Avinash, Wajihul Hasan Khan, & Anurag S. Rathore. (2021). Synergistic Effects of Natural Compounds Toward Inhibition of SARS-CoV-2 3CL Protease. Journal of Chemical Information and Modeling. 61(11). 5708–5718. 9 indexed citations

10.

Singh, Sumit Kumar, Avinash Mishra, Gaurav Goel, Narendra Chirmule, & Anurag S. Rathore. (2020). Modulation of granulocyte colony stimulating factor conformation and receptor binding by methionine oxidation. Proteins Structure Function and Bioinformatics. 89(1). 68–80. 2 indexed citations

11.

Bawazeer, Saud, Abdur Rauf, Avinash Mishra, et al.. (2019). Structural Insights Behind Protein Tyrosine Phosphatase 1B Inhibitory Activity of Diospyrin. Indian Journal of Pharmaceutical Sciences. 81(3). 2 indexed citations

12.

Mishra, Avinash, et al.. (2019). Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees. ACS Omega. 4(1). 1874–1888. 51 indexed citations

13.

Mishra, Avinash, et al.. (2019). Identification of a Novel Scaffold for Inhibition of Dipeptidyl Peptidase-4. Journal of Computational Biology. 26(12). 1470–1486. 2 indexed citations

14.

Mishra, Avinash, et al.. (2018). Computational Issues of Protein-Ligand Docking. 7(2).

15.

Mishra, Avinash, Shoba Ranganathan, B. Jayaram, & Abdul Sattar. (2018). Role of solvent accessibility for aggregation-prone patches in protein folding. Scientific Reports. 8(1). 12896–12896. 16 indexed citations

16.

Singh, Ankita, Rahul Kaushik, Avinash Mishra, Asheesh Shanker, & B. Jayaram. (2015). ProTSAV: A protein tertiary structure analysis and validation server. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1864(1). 11–19. 57 indexed citations

17.

Mishra, Avinash, Prashant Singh Rana, Aditya Mittal, & B. Jayaram. (2014). D2N: Distance to the native. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1844(10). 1798–1807. 12 indexed citations

18.

Jayaram, B., Priyanka Dhingra, Avinash Mishra, et al.. (2014). Bhageerath-H: A homology/ab initio hybrid server for predicting tertiary structures of monomeric soluble proteins. BMC Bioinformatics. 15(S16). S7–S7. 42 indexed citations

19.

Mishra, Avinash, et al.. (2013). Capturing native/native like structures with a physico-chemical metric (pcSM) in protein folding. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(8). 1520–1531. 15 indexed citations

20.

Soni, Anjali, Priyanka Dhingra, Avinash Mishra, et al.. (2013). 107 Genomes to hit moleculesIn Silico: a country path today, a highway tomorrow: a case study of Chikungunya. Journal of Biomolecular Structure and Dynamics. 31(sup1). 67–68. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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