Akhil Kumar
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Computational Drug Discovery Methods 13
-
- Cholinesterase and Neurodegenerative Diseases 9
- Co-authors
- Ashok Kumar Sharma (14 shared papers)Sudeep Roy (5 shared papers)Shubhandra Tripathi (7 shared papers)Gaurava Srivastava (7 shared papers)Arvind Negi (2 shared papers)Sandeep Kumar Singh (2 shared papers)Saripella Srikrishna (2 shared papers)Swati Srivastava (2 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (5 papers)Chemistry & Biodiversity (1 paper)HemaSphere (1 paper)Journal of Anaesthesiology Clinical Pharmacology (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- IndiaUnited StatesCzechia
In The Last Decade
Akhil Kumar
33 papers receiving 569 citations
Peers
Comparison fields: 5 of 91
- Computational Theory and Mathematics 221
- Pharmacology 140
- Pharmaceutical Science 28
- Physiology 108
- Complementary and alternative medicine 33
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 51 | |
| 2 | 2018 | 50 | |
| 3 | 2018 | 49 | |
| 4 | 2020 | 48 | |
| 5 | 2015 | 42 | |
| 6 | 2015 | 41 | |
| 7 | 2020 | 40 | |
| 8 | 2014 | 35 | |
| 9 | 2015 | 31 | |
| 10 | 2016 | 23 | |
| 11 | 2017 | 23 | |
| 12 | 2017 | 23 | |
| 13 | 1998 | 23 | |
| 14 | 2017 | 11 | |
| 15 | 2015 | 10 | |
| 16 | 1994 | 9 | |
| 17 | 1988 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2024 | 7 |
About Akhil Kumar
Akhil Kumar is a scholar working on Computational Theory and Mathematics, Pharmacology, Physiology, Organic Chemistry and Signal Processing, having authored 35 papers that have together received 578 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Alzheimer's disease research and treatments (5 papers), Synthesis and biological activity (4 papers), Protein Structure and Dynamics (3 papers), Data Management and Algorithms (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Computational Theory and Mathematics (221 citations), Pharmacology (140 citations), Pharmaceutical Science (28 citations), Physiology (108 citations) and Complementary and alternative medicine (33 citations). Akhil Kumar has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Ashok Kumar Sharma, Sudeep Roy, Shubhandra Tripathi, Gaurava Srivastava, Arvind Negi, Sandeep Kumar Singh, Saripella Srikrishna, Swati Srivastava, Michal Masařík and Ivo Provazník. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Chemistry & Biodiversity, HemaSphere, Journal of Anaesthesiology Clinical Pharmacology 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.