Timir Tripathi
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Computational Drug Discovery Methods
Papers in
- Co-authors
- Aditya K. PadhiHarish ShuklaParismita KalitaRohit ShuklaAwanish KumarAmit SonkarTripti PandeyAshwini Kumar
- Journals
- International Journal of Biological Macromolecules (14 papers)ACS Chemical Neuroscience (7 papers)Journal of Biomolecular Structure and Dynamics (7 papers)Scientific Reports (5 papers)Journal of Cellular Biochemistry (4 papers)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Timir Tripathi
108 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 139
- Infectious Diseases 582
- Computational Theory and Mathematics 422
- Molecular Biology 1.5k
- Parasitology 114
- Biological Psychiatry 39
Countries citing papers authored by Timir Tripathi
This map shows the geographic impact of Timir Tripathi'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 Timir Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timir Tripathi more than expected).
Fields of papers citing papers by Timir Tripathi
This network shows the impact of papers produced by Timir Tripathi. 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 Timir Tripathi. The network helps show where Timir Tripathi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Timir Tripathi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 12 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 64 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 12 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 17 | |
| 16 | 2017 | 41 | |
| 17 | 2017 | 55 | |
| 18 | 2017 | 3 | |
| 19 | 2016 | 20 | |
| 20 | 2016 | 9 |
About Timir Tripathi
Timir Tripathi is a scholar working on Parasitology, Small Animals, Molecular Biology, Infectious Diseases and Computational Theory and Mathematics, having authored 111 papers that have together received 2.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), SARS-CoV-2 and COVID-19 Research (15 papers), vaccines and immunoinformatics approaches (13 papers), Glutathione Transferases and Polymorphisms (12 papers), Protein Structure and Dynamics (11 papers), Alzheimer's disease research and treatments (11 papers), Redox biology and oxidative stress (10 papers) and Genomics, phytochemicals, and oxidative stress (9 papers). The work is most often cited by research in Infectious Diseases (582 citations), Computational Theory and Mathematics (422 citations), Molecular Biology (1.5k citations), Parasitology (114 citations) and Biological Psychiatry (39 citations). Timir Tripathi has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Aditya K. Padhi, Harish Shukla, Parismita Kalita, Rohit Shukla, Awanish Kumar, Amit Sonkar, Tripti Pandey, Ashwini Kumar, Prakash Saudagar and Kam Y. J. Zhang. Their work appears in journals such as International Journal of Biological Macromolecules, ACS Chemical Neuroscience, Journal of Biomolecular Structure and Dynamics, Scientific Reports and Journal of Cellular 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.