Devendra Kumar
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
- Pharmacology 22
- Cholinesterase and Neurodegenerative Diseases 19
-
- Computational Drug Discovery Methods 18
- Co-authors
- Sushil Kumar Singh (18 shared papers)Ankit Ganeshpurkar (18 shared papers)Ashok Kumar (13 shared papers)Gopichand Gutti (8 shared papers)Sairam Krishnamurthy (4 shared papers)Chandra Mouli Pandey (5 shared papers)A. Sen (1 shared paper)Sudeshna Das Chakraborty (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)International Journal of Biological Macromolecules (2 papers)Journal of Applied Electrochemistry (2 papers)RSC Medicinal Chemistry (2 papers)ACS Omega (2 papers)
- Partner nations
- IndiaUnited StatesFinland
In The Last Decade
Devendra Kumar
65 papers receiving 870 citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 212
- Pharmacology 227
- Bioengineering 74
- Electrochemistry 55
- Organic Chemistry 168
Countries citing papers authored by Devendra Kumar
This map shows the geographic impact of Devendra 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 Devendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devendra Kumar more than expected).
Fields of papers citing papers by Devendra Kumar
This network shows the impact of papers produced by Devendra 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 Devendra Kumar. The network helps show where Devendra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Devendra 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 97 | |
| 2 | 2021 | 55 | |
| 3 | 2019 | 46 | |
| 4 | 2022 | 46 | |
| 5 | 2022 | 42 | |
| 6 | 2019 | 38 | |
| 7 | 2019 | 35 | |
| 8 | 2019 | 34 | |
| 9 | 2023 | 27 | |
| 10 | 2010 | 25 | |
| 11 | 2019 | 25 | |
| 12 | 2017 | 22 | |
| 13 | 2023 | 22 | |
| 14 | 2019 | 22 | |
| 15 | 2024 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2022 | 17 | |
| 18 | 2023 | 16 | |
| 19 | 2018 | 16 | |
| 20 | 2018 | 16 |
About Devendra Kumar
Devendra Kumar is a scholar working on Pharmacology, Computational Theory and Mathematics, Organic Chemistry, Molecular Biology and Electrical and Electronic Engineering, having authored 76 papers that have together received 893 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (19 papers), Computational Drug Discovery Methods (18 papers), Synthesis and biological activity (9 papers), Electrochemical sensors and biosensors (8 papers), Alzheimer's disease research and treatments (8 papers), Electrochemical Analysis and Applications (7 papers), Conducting polymers and applications (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Computational Theory and Mathematics (212 citations), Pharmacology (227 citations), Bioengineering (74 citations), Electrochemistry (55 citations) and Organic Chemistry (168 citations). Devendra Kumar has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Sushil Kumar Singh, Ankit Ganeshpurkar, Ashok Kumar, Gopichand Gutti, Sairam Krishnamurthy, Chandra Mouli Pandey, A. Sen, Sudeshna Das Chakraborty, H. S. Maiti and S. Bandyopadhyay. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, International Journal of Biological Macromolecules, Journal of Applied Electrochemistry, RSC Medicinal Chemistry and ACS Omega.
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.