Akhil Kumar
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Computational Drug Discovery Methods 11
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- Cancer therapeutics and mechanisms 2
- Co-authors
- Ashok Sharma (11 shared papers)Sudeep Roy (5 shared papers)Gaurava Srivastava (7 shared papers)Arvind Negi (2 shared papers)Saripella Srikrishna (2 shared papers)Sandeep Kumar Singh (2 shared papers)Swati Srivastava (2 shared papers)Mohammad Hassan Baig (2 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (5 papers)Journal of Anaesthesiology Clinical Pharmacology (1 paper)Current Topics in Medicinal Chemistry (1 paper)International Journal of Biological Macromolecules (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- IndiaUnited StatesCzechia
In The Last Decade
Akhil Kumar
28 papers receiving 473 citations
Peers
Comparison fields: 5 of 92
- Computational Theory and Mathematics 192
- Pharmacology 127
- Pharmaceutical Science 26
- Physiology 105
- Molecular Medicine 20
Countries citing papers authored by Akhil Kumar
This map shows the geographic impact of Akhil 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 Akhil Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhil Kumar more than expected).
Fields of papers citing papers by Akhil Kumar
This network shows the impact of papers produced by Akhil 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 Akhil Kumar. The network helps show where Akhil Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Akhil 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2015 | 47 | |
| 3 | 2018 | 44 | |
| 4 | 2020 | 43 | |
| 5 | 2015 | 37 | |
| 6 | 2020 | 36 | |
| 7 | 2015 | 33 | |
| 8 | 2014 | 30 | |
| 9 | 2015 | 26 | |
| 10 | 2017 | 23 | |
| 11 | 2016 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 1998 | 11 | |
| 14 | 2017 | 11 | |
| 15 | 2015 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2019 | 5 |
About Akhil Kumar
Akhil Kumar is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Physiology and Organic Chemistry, having authored 30 papers that have together received 482 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Alzheimer's disease research and treatments (6 papers), Synthesis and biological activity (4 papers), Tuberculosis Research and Epidemiology (3 papers), Data Management and Algorithms (2 papers), Cancer therapeutics and mechanisms (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Computational Theory and Mathematics (192 citations), Pharmacology (127 citations), Pharmaceutical Science (26 citations), Physiology (105 citations) and Molecular Medicine (20 citations). Akhil Kumar has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Ashok Sharma, Sudeep Roy, Gaurava Srivastava, Arvind Negi, Saripella Srikrishna, Sandeep Kumar Singh, Swati Srivastava, Mohammad Hassan Baig, Ivo Provazník and Mira Debnath. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of Anaesthesiology Clinical Pharmacology, Current Topics in Medicinal Chemistry, International Journal of Biological Macromolecules and Frontiers in Cell and Developmental Biology.
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.