Devendra Kumar
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
- Bioengineering top 5%
- Analytical Chemistry and Sensors
Papers in
- Pharmacology 20
- Cholinesterase and Neurodegenerative Diseases 17
-
- Computational Drug Discovery Methods 17
- Co-authors
- Sushil Kumar Singh (18 shared papers)Ankit Ganeshpurkar (18 shared papers)Ashok Kumar (13 shared papers)Ravi Singh (12 shared papers)Gopichand Gutti (8 shared papers)Sairam Krishnamurthy (4 shared papers)A. Sen (1 shared paper)H. S. Maiti (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)Molecular Simulation (2 papers)Bioorganic Chemistry (2 papers)Molecular Diversity (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Devendra Kumar
64 papers receiving 904 citations
Peers
Comparison fields: 5 of 118
- Pharmacology 228
- Bioengineering 77
- Computational Theory and Mathematics 214
- Complementary and alternative medicine 45
- Electrochemistry 36
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 | 105 | |
| 2 | 2021 | 57 | |
| 3 | 2022 | 53 | |
| 4 | 2019 | 47 | |
| 5 | 2022 | 46 | |
| 6 | 2019 | 39 | |
| 7 | 2019 | 37 | |
| 8 | 2019 | 37 | |
| 9 | 2023 | 32 | |
| 10 | 2023 | 29 | |
| 11 | 2019 | 27 | |
| 12 | 2010 | 26 | |
| 13 | 2024 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2024 | 20 | |
| 17 | 2018 | 18 | |
| 18 | 2018 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2021 | 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 923 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Cholinesterase and Neurodegenerative Diseases (17 papers), Synthesis and biological activity (9 papers), Alzheimer's disease research and treatments (6 papers), Conducting polymers and applications (5 papers), Medicinal Plants and Neuroprotection (5 papers), Spectroscopy and Laser Applications (4 papers) and Synthesis and Characterization of Heterocyclic Compounds (4 papers). The work is most often cited by research in Pharmacology (228 citations), Bioengineering (77 citations), Computational Theory and Mathematics (214 citations), Complementary and alternative medicine (45 citations) and Electrochemistry (36 citations). Devendra Kumar has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Sushil Kumar Singh, Ankit Ganeshpurkar, Ashok Kumar, Ravi Singh, Gopichand Gutti, Sairam Krishnamurthy, A. Sen, H. S. Maiti, S.K. Samudrala and Om Parkash. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Molecular Simulation, Bioorganic Chemistry, Molecular Diversity 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.