Pravindra Kumar
Impact in
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- Computational Drug Discovery Methods
- Pollution top 5%
- Microbial bioremediation and biosurfactants
Papers in
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- Computational Drug Discovery Methods 13
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- Enzyme Structure and Function 22
- Co-authors
- Shailly Tomar (64 shared papers)Vikram Dalal (27 shared papers)Ashwani Kumar Sharma (39 shared papers)Poonam Dhankhar (12 shared papers)Tej Pal Singh (19 shared papers)Neha Singh (6 shared papers)Vishakha Singh (9 shared papers)Dasantila Golemi‐Kotra (6 shared papers)
- Journals
- International Journal of Biological Macromolecules (12 papers)Journal of Biomolecular Structure and Dynamics (7 papers)Journal of Biological Chemistry (7 papers)Archives of Biochemistry and Biophysics (7 papers)Biochemistry (6 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Pravindra Kumar
153 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 431
- Pollution 171
- Infectious Diseases 174
- Microbiology 43
- Public Health, Environmental and Occupational Health 215
Countries citing papers authored by Pravindra Kumar
This map shows the geographic impact of Pravindra 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 Pravindra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pravindra Kumar more than expected).
Fields of papers citing papers by Pravindra Kumar
This network shows the impact of papers produced by Pravindra 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 Pravindra Kumar. The network helps show where Pravindra Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pravindra 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 119 | |
| 2 | 2021 | 116 | |
| 3 | 2017 | 106 | |
| 4 | 2021 | 88 | |
| 5 | 2001 | 83 | |
| 6 | 2020 | 79 | |
| 7 | 2001 | 78 | |
| 8 | 2019 | 67 | |
| 9 | 2018 | 66 | |
| 10 | 2003 | 63 | |
| 11 | 2008 | 63 | |
| 12 | 2018 | 63 | |
| 13 | 2016 | 61 | |
| 14 | 2021 | 58 | |
| 15 | 2017 | 57 | |
| 16 | 2007 | 51 | |
| 17 | 2015 | 48 | |
| 18 | 2015 | 47 | |
| 19 | 2020 | 46 | |
| 20 | 2022 | 45 |
About Pravindra Kumar
Pravindra Kumar is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Infectious Diseases, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 156 papers that have together received 3.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (22 papers), Computational Drug Discovery Methods (13 papers), Mosquito-borne diseases and control (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Chemical Synthesis and Analysis (6 papers), Enzyme-mediated dye degradation (4 papers), Studies on Chitinases and Chitosanases (3 papers) and Microbial bioremediation and biosurfactants (3 papers). The work is most often cited by research in Computational Theory and Mathematics (431 citations), Pollution (171 citations), Infectious Diseases (174 citations), Microbiology (43 citations) and Public Health, Environmental and Occupational Health (215 citations). Pravindra Kumar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Shailly Tomar, Vikram Dalal, Ashwani Kumar Sharma, Poonam Dhankhar, Tej Pal Singh, Neha Singh, Vishakha Singh, Dasantila Golemi‐Kotra, Shweta Choudhary and Pooja Kesari. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Biomolecular Structure and Dynamics, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics and Biochemistry.
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.