Surendra Kumar
Impact in
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- Computational Drug Discovery Methods
- Toxicology top 10%
Papers in
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- Lipid Membrane Structure and Behavior 5
- Enzyme function and inhibition 3
- Metabolomics and Mass Spectrometry Studies 2
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- Synthesis and biological activity 7
- Synthesis and Characterization of Heterocyclic Compounds 2
- Co-authors
- Mi‐Hyun Kim (21 shared papers)Dharmendra Kumar Yadav (16 shared papers)Eun Ha Choi (8 shared papers)Sandeep Chaudhary (6 shared papers)Mahesh Kumar Teli (7 shared papers)Praveen Sharma (4 shared papers)Sanjeev Misra (4 shared papers)Meena Tiwari (7 shared papers)
- Journals
- Scientific Reports (6 papers)Journal of Biomolecular Structure and Dynamics (3 papers)Medicinal Chemistry Research (2 papers)Journal of Cellular Biochemistry (2 papers)Journal of Chemometrics (2 papers)
- Partner nations
- South KoreaIndiaAustralia
In The Last Decade
Surendra Kumar
42 papers receiving 750 citations
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 168
- Toxicology 21
- Drug Discovery 1
- Pharmacology 43
- Organic Chemistry 147
Countries citing papers authored by Surendra Kumar
This map shows the geographic impact of Surendra 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 Surendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surendra Kumar more than expected).
Fields of papers citing papers by Surendra Kumar
This network shows the impact of papers produced by Surendra 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 Surendra Kumar. The network helps show where Surendra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Surendra 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2017 | 72 | |
| 3 | 2018 | 58 | |
| 4 | 2020 | 57 | |
| 5 | 2015 | 34 | |
| 6 | 2021 | 33 | |
| 7 | 2017 | 33 | |
| 8 | 2018 | 31 | |
| 9 | 2018 | 30 | |
| 10 | 2020 | 27 | |
| 11 | 2024 | 23 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 23 | |
| 14 | 2018 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2019 | 17 | |
| 17 | 2020 | 17 | |
| 18 | 2017 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2020 | 13 |
About Surendra Kumar
Surendra Kumar is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Pharmacology and Infectious Diseases, having authored 47 papers that have together received 763 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Synthesis and biological activity (7 papers), HIV/AIDS drug development and treatment (5 papers), Lipid Membrane Structure and Behavior (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Enzyme function and inhibition (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Synthesis and Characterization of Heterocyclic Compounds (2 papers). The work is most often cited by research in Computational Theory and Mathematics (168 citations), Toxicology (21 citations), Drug Discovery (1 citation), Pharmacology (43 citations) and Organic Chemistry (147 citations). Surendra Kumar has collaborated with scholars based in South Korea, India and Australia. Frequent co-authors include Mi‐Hyun Kim, Dharmendra Kumar Yadav, Eun Ha Choi, Sandeep Chaudhary, Mahesh Kumar Teli, Praveen Sharma, Sanjeev Misra, Meena Tiwari, Saloni Saloni and Harpreet Singh. Their work appears in journals such as Scientific Reports, Journal of Biomolecular Structure and Dynamics, Medicinal Chemistry Research, Journal of Cellular Biochemistry and Journal of Chemometrics.
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.