Timir Tripathi
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
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- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 29
- RNA Research and Splicing 17
- RNA and protein synthesis mechanisms 13
- Glutathione Transferases and Polymorphisms 12
- vaccines and immunoinformatics approaches 12
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- SARS-CoV-2 and COVID-19 Research 15
- Co-authors
- Rohit Shukla (29 shared papers)Harish Shukla (29 shared papers)Aditya K. Padhi (22 shared papers)Parismita Kalita (15 shared papers)Awanish Kumar (6 shared papers)Amit Kumar Sonkar (12 shared papers)Tripti Pandey (11 shared papers)Prakash Saudagar (16 shared papers)
- Journals
- International Journal of Biological Macromolecules (15 papers)Journal of Biomolecular Structure and Dynamics (7 papers)Scientific Reports (6 papers)ACS Omega (4 papers)Archives of Biochemistry and Biophysics (3 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Timir Tripathi
130 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 138
- Infectious Diseases 539
- Computational Theory and Mathematics 491
- Molecular Biology 1.7k
- Parasitology 109
- Pharmacology 253
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-authors
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
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 167 | |
| 2 | 2020 | 163 | |
| 3 | 2020 | 147 | |
| 4 | 2015 | 131 | |
| 5 | 2016 | 116 | |
| 6 | 2018 | 103 | |
| 7 | 2018 | 93 | |
| 8 | 2022 | 78 | |
| 9 | 2017 | 71 | |
| 10 | 2019 | 69 | |
| 11 | 2022 | 68 | |
| 12 | 2020 | 65 | |
| 13 | 2020 | 64 | |
| 14 | 2019 | 59 | |
| 15 | 2017 | 59 | |
| 16 | 2020 | 57 | |
| 17 | 2017 | 56 | |
| 18 | 2021 | 56 | |
| 19 | 2015 | 54 | |
| 20 | 2021 | 49 |
About Timir Tripathi
Timir Tripathi is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Small Animals and Parasitology, having authored 134 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (29 papers), Computational Drug Discovery Methods (20 papers), RNA Research and Splicing (17 papers), Enzyme Structure and Function (17 papers), SARS-CoV-2 and COVID-19 Research (15 papers), RNA and protein synthesis mechanisms (13 papers), Glutathione Transferases and Polymorphisms (12 papers) and vaccines and immunoinformatics approaches (12 papers). The work is most often cited by research in Infectious Diseases (539 citations), Computational Theory and Mathematics (491 citations), Molecular Biology (1.7k citations), Parasitology (109 citations) and Pharmacology (253 citations). Timir Tripathi has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Rohit Shukla, Harish Shukla, Aditya K. Padhi, Parismita Kalita, Awanish Kumar, Amit Kumar Sonkar, Tripti Pandey, Prakash Saudagar, Ashwini Kumar and Kam Y. J. Zhang. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Biomolecular Structure and Dynamics, Scientific Reports, ACS Omega and Archives of Biochemistry and Biophysics.
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.