Avinash Kumar
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Cancer therapeutics and mechanisms 4
- vaccines and immunoinformatics approaches 4
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- Synthesis and biological activity 4
- Click Chemistry and Applications 3
- Co-authors
- Suvarna G. Kini (21 shared papers)Ekta Rathi (18 shared papers)Arvind M. Kayastha (3 shared papers)Divya Yadav (2 shared papers)Vinay Kumar Singh (1 shared paper)Maya S. Nair (3 shared papers)N Udupa (1 shared paper)Ravi Dutt (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (7 papers)Mini-Reviews in Medicinal Chemistry (4 papers)Journal of Molecular Modeling (1 paper)Research in Pharmaceutical Sciences (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Avinash Kumar
37 papers receiving 433 citations
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 120
- Molecular Medicine 19
- Organic Chemistry 106
- Pharmacology 53
- Molecular Biology 203
Countries citing papers authored by Avinash Kumar
This map shows the geographic impact of Avinash Kumar'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 Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Kumar more than expected).
Fields of papers citing papers by Avinash Kumar
This network shows the impact of papers produced by Avinash Kumar. 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 Kumar. The network helps show where Avinash Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Avinash Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 64 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 23 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 17 | |
| 8 | Effective drug targeting by Erythrocytes as Carrier Systems | 2007 | 16 |
| 9 | 2019 | 16 | |
| 10 | 2019 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2019 | 11 | |
| 18 | 2023 | 11 | |
| 19 | Growth promoting use of antimicrobial agents in animals. | 2011 | 11 |
| 20 | 2024 | 10 |
About Avinash Kumar
Avinash Kumar is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Pharmacology and Epidemiology, having authored 38 papers that have together received 442 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Synthesis and biological activity (4 papers), Cancer therapeutics and mechanisms (4 papers), vaccines and immunoinformatics approaches (4 papers), Cervical Cancer and HPV Research (3 papers), Click Chemistry and Applications (3 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Computational Theory and Mathematics (120 citations), Molecular Medicine (19 citations), Organic Chemistry (106 citations), Pharmacology (53 citations) and Molecular Biology (203 citations). Avinash Kumar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Suvarna G. Kini, Ekta Rathi, Arvind M. Kayastha, Divya Yadav, Vinay Kumar Singh, Maya S. Nair, N Udupa, Ravi Dutt, Rakesh Yadav and K. Sreedhara Ranganath Pai. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Mini-Reviews in Medicinal Chemistry, Journal of Molecular Modeling, Research in Pharmaceutical Sciences and International Journal of Biological Macromolecules.
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.