Parimal Kar
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 25
- Glycosylation and Glycoproteins Research 7
- Protein Kinase Regulation and GTPase Signaling 6
- Ion Transport and Channel Regulation 6
-
- HIV/AIDS drug development and treatment 7
- Co-authors
- Md Fulbabu Sk (31 shared papers)Nisha Amarnath Jonniya (23 shared papers)Volker Knecht (7 shared papers)Rajarshi Roy (27 shared papers)Michael Feig (4 shared papers)Sushabhan Sadhukhan (5 shared papers)Satyam Singh (4 shared papers)Reinhard Lipowsky (2 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (20 papers)The Journal of Physical Chemistry B (11 papers)ACS Omega (6 papers)SAR and QSAR in environmental research (5 papers)Journal of Computational Chemistry (3 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Parimal Kar
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Virology 105
- Computational Theory and Mathematics 290
- Infectious Diseases 265
- Molecular Biology 895
- Geriatrics and Gerontology 28
Countries citing papers authored by Parimal Kar
This map shows the geographic impact of Parimal Kar'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 Parimal Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parimal Kar more than expected).
Fields of papers citing papers by Parimal Kar
This network shows the impact of papers produced by Parimal Kar. 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 Parimal Kar. The network helps show where Parimal Kar may publish in the future.
Co-authors
The 25 scholars most cited alongside Parimal Kar, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 115 | |
| 2 | 2013 | 88 | |
| 3 | 2020 | 72 | |
| 4 | 2013 | 51 | |
| 5 | 2012 | 50 | |
| 6 | 2012 | 47 | |
| 7 | 2019 | 47 | |
| 8 | 2014 | 43 | |
| 9 | 2021 | 39 | |
| 10 | 2020 | 38 | |
| 11 | 2011 | 38 | |
| 12 | 2020 | 35 | |
| 13 | 2020 | 34 | |
| 14 | 2017 | 32 | |
| 15 | 2020 | 32 | |
| 16 | 2014 | 31 | |
| 17 | 2007 | 31 | |
| 18 | 2012 | 30 | |
| 19 | 2019 | 29 | |
| 20 | 2012 | 26 |
About Parimal Kar
Parimal Kar is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Computational Theory and Mathematics and Oncology, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (25 papers), Computational Drug Discovery Methods (10 papers), Glycosylation and Glycoproteins Research (7 papers), HIV/AIDS drug development and treatment (7 papers), HIV Research and Treatment (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Enzyme Structure and Function (6 papers) and Ion Transport and Channel Regulation (6 papers). The work is most often cited by research in Virology (105 citations), Computational Theory and Mathematics (290 citations), Infectious Diseases (265 citations), Molecular Biology (895 citations) and Geriatrics and Gerontology (28 citations). Parimal Kar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Md Fulbabu Sk, Nisha Amarnath Jonniya, Volker Knecht, Rajarshi Roy, Michael Feig, Sushabhan Sadhukhan, Satyam Singh, Reinhard Lipowsky, Avinash Sonawane and Srinivasa M. Gopal. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, The Journal of Physical Chemistry B, ACS Omega, SAR and QSAR in environmental research and Journal of Computational Chemistry.
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.