Pawan Kumar
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
-
- Computational Drug Discovery Methods
Papers in
-
- Smart Agriculture and AI 5
-
- SARS-CoV-2 and COVID-19 Research 6
- SARS-CoV-2 detection and testing 2
- Co-authors
- Sandeep Singh (1 shared paper)Jesse S. Samuel (1 shared paper)Ankur Gautam (1 shared paper)Meenu Sharma (1 shared paper)Gajendra P. S. Raghava (1 shared paper)Salman Sadullah Usmani (1 shared paper)Sourav Kalra (1 shared paper)Amresh Prakash (6 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (3 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)Systematic and Applied Microbiology (1 paper)SIAM Journal on Optimization (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Pawan Kumar
43 papers receiving 635 citations
Pawan Kumar's Hit Papers
Peers
Comparison fields: 5 of 118
- Microbiology 92
- Computational Theory and Mathematics 108
- Infectious Diseases 105
- Pharmaceutical Science 31
- Molecular Biology 339
Countries citing papers authored by Pawan Kumar
This map shows the geographic impact of Pawan 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 Pawan Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawan Kumar more than expected).
Fields of papers citing papers by Pawan Kumar
This network shows the impact of papers produced by Pawan 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 Pawan Kumar. The network helps show where Pawan Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pawan 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | THPdb: Database of FDA-approved peptide and protein therapeutics Hit paper breakdown → | 2017 | 365 |
| 2 | 2021 | 48 | |
| 3 | 2011 | 34 | |
| 4 | 2022 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2013 | 19 | |
| 7 | 2024 | 17 | |
| 8 | 2020 | 12 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Pawan Kumar
Pawan Kumar is a scholar working on Plant Science, Infectious Diseases, Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 57 papers that have together received 647 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Smart Agriculture and AI (5 papers), Quality and Supply Management (3 papers), Vehicle License Plate Recognition (2 papers), Stochastic Gradient Optimization Techniques (2 papers), SARS-CoV-2 detection and testing (2 papers) and Sustainable Supply Chain Management (2 papers). The work is most often cited by research in Microbiology (92 citations), Computational Theory and Mathematics (108 citations), Infectious Diseases (105 citations), Pharmaceutical Science (31 citations) and Molecular Biology (339 citations). Pawan Kumar has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Sandeep Singh, Jesse S. Samuel, Ankur Gautam, Meenu Sharma, Gajendra P. S. Raghava, Salman Sadullah Usmani, Sourav Kalra, Amresh Prakash, Shashikant Ray and Shradha Khater. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Scientific Reports, PLoS ONE, Systematic and Applied Microbiology and SIAM Journal on Optimization.
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.