Sukrit Singh
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
-
- Protein Structure and Dynamics 6
- Receptor Mechanisms and Signaling 5
- Melanoma and MAPK Pathways 2
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- Computational Drug Discovery Methods 6
- Co-authors
- Gregory R. Bowman (12 shared papers)Neha Vithani (5 shared papers)Michael D. Ward (3 shared papers)Maxwell I. Zimmerman (3 shared papers)Andrea Soranno (2 shared papers)Daniel Griffith (1 shared paper)Jasmine Cubuk (1 shared paper)Kathleen B. Hall (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (2 papers)eLife (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biophysical Journal (2 papers)Journal of Chemical Theory and Computation (2 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Sukrit Singh
22 papers receiving 915 citations
Sukrit Singh's Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 337
- Molecular Biology 558
- Computational Theory and Mathematics 101
- Virology 27
- Animal Science and Zoology 42
Countries citing papers authored by Sukrit Singh
This map shows the geographic impact of Sukrit 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 Sukrit Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukrit Singh more than expected).
Fields of papers citing papers by Sukrit Singh
This network shows the impact of papers produced by Sukrit 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 Sukrit Singh. The network helps show where Sukrit Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sukrit 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 | The SARS-CoV-2 nucleocapsid protein is dynamic, disordered, and phase separates with RNA Hit paper breakdown → | 2021 | 365 |
| 2 | 2021 | 167 | |
| 3 | 2021 | 56 | |
| 4 | 2013 | 51 | |
| 5 | 2016 | 44 | |
| 6 | 2017 | 39 | |
| 7 | 2018 | 38 | |
| 8 | 2015 | 29 | |
| 9 | 2021 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2013 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2018 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2017 | 7 | |
| 16 | 2024 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Sukrit Singh
Sukrit Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics, Developmental Neuroscience, Materials Chemistry and Infectious Diseases, having authored 23 papers that have together received 916 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (6 papers), Receptor Mechanisms and Signaling (5 papers), Anesthesia and Neurotoxicity Research (3 papers), Enzyme Structure and Function (3 papers), Melanoma and MAPK Pathways (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Infectious Diseases (337 citations), Molecular Biology (558 citations), Computational Theory and Mathematics (101 citations), Virology (27 citations) and Animal Science and Zoology (42 citations). Sukrit Singh has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Gregory R. Bowman, Neha Vithani, Michael D. Ward, Maxwell I. Zimmerman, Andrea Soranno, Daniel Griffith, Jasmine Cubuk, Kathleen B. Hall, J. Jeremías Incicco and Jason A. Wagoner. Their work appears in journals such as The Journal of Physical Chemistry B, eLife, Proceedings of the National Academy of Sciences, Biophysical Journal and Journal of Chemical Theory and Computation.
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.