Rahul Singh
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Computational Drug Discovery Methods 20
-
- SARS-CoV-2 and COVID-19 Research 3
- Tuberculosis Research and Epidemiology 1
- Co-authors
- Rituraj Purohit (23 shared papers)Vijay Kumar Bhardwaj (16 shared papers)Jatin Sharma (6 shared papers)Pralay Das (7 shared papers)Sanjay Kumar (4 shared papers)Vidya Rajendran (2 shared papers)Dinesh Kumar (1 shared paper)Pooja Singh (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)Computers in Biology and Medicine (4 papers)Cell Biochemistry and Function (2 papers)Life Sciences (1 paper)Journal of Theoretical Biology (1 paper)
- Partner nations
- India
In The Last Decade
Rahul Singh
23 papers receiving 1.7k citations
Rahul Singh's Hit Papers
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 1k
- Infectious Diseases 455
- Complementary and alternative medicine 73
- Molecular Biology 303
- Pharmacology 57
Countries citing papers authored by Rahul Singh
This map shows the geographic impact of Rahul Singh'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 Rahul Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Singh more than expected).
Fields of papers citing papers by Rahul Singh
This network shows the impact of papers produced by Rahul Singh. 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 Rahul Singh. The network helps show where Rahul Singh may publish in the future.
Co-authors
The 15 scholars most cited alongside Rahul Singh, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of bioactive molecules from tea plant as SARS-CoV-2 main protease inhibitors Hit paper breakdown → | 2020 | 294 |
| 2 | 2020 | 205 | |
| 3 | 2021 | 115 | |
| 4 | 2020 | 95 | |
| 5 | 2021 | 91 | |
| 6 | 2019 | 87 | |
| 7 | 2021 | 79 | |
| 8 | 2021 | 79 | |
| 9 | 2020 | 77 | |
| 10 | 2022 | 75 | |
| 11 | 2021 | 69 | |
| 12 | 2020 | 68 | |
| 13 | 2023 | 63 | |
| 14 | 2019 | 60 | |
| 15 | 2022 | 60 | |
| 16 | 2022 | 60 | |
| 17 | 2022 | 59 | |
| 18 | 2023 | 39 | |
| 19 | 2023 | 36 | |
| 20 | 2023 | 30 |
About Rahul Singh
Rahul Singh is a scholar working on Computational Theory and Mathematics, Infectious Diseases, Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Natural Antidiabetic Agents Studies (2 papers), Tuberculosis Research and Epidemiology (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Medicinal Plant Research (1 paper), Malaria Research and Control (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1k citations), Infectious Diseases (455 citations), Complementary and alternative medicine (73 citations), Molecular Biology (303 citations) and Pharmacology (57 citations). Rahul Singh has collaborated with scholars based in India. Frequent co-authors include Rituraj Purohit, Vijay Kumar Bhardwaj, Jatin Sharma, Pralay Das, Sanjay Kumar, Vidya Rajendran, Dinesh Kumar, Pooja Singh, Hemraj S. Nandanwar and Yogendra Shantaram Padwad. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Computers in Biology and Medicine, Cell Biochemistry and Function, Life Sciences and Journal of Theoretical Biology.
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.