Sukrit Singh
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
-
- 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
-
- 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)Jason A. Wagoner (1 shared paper)Alex S. Holehouse (1 shared paper)Melissa D. Stuchell‐Brereton (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biophysical Journal (2 papers)eLife (2 papers)Journal of Chemical Theory and Computation (2 papers)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Sukrit Singh
23 papers receiving 965 citations
Sukrit Singh's Hit Papers
Peers
Comparison fields: 5 of 100
- Infectious Diseases 339
- Molecular Biology 563
- Computational Theory and Mathematics 99
- Virology 27
- Immunology 86
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 24 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 | 382 |
| 2 | 2021 | 174 | |
| 3 | 2021 | 59 | |
| 4 | 2013 | 52 | |
| 5 | 2016 | 45 | |
| 6 | 2017 | 44 | |
| 7 | 2018 | 40 | |
| 8 | 2015 | 30 | |
| 9 | 2021 | 25 | |
| 10 | 2017 | 22 | |
| 11 | 2013 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2023 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2017 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Sukrit Singh
Sukrit Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Infectious Diseases and Ecology, having authored 24 papers that have together received 966 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers), Receptor Mechanisms and Signaling (5 papers), Enzyme Structure and Function (3 papers), Cellular transport and secretion (2 papers), Antibiotic Resistance in Bacteria (2 papers), HER2/EGFR in Cancer Research (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (339 citations), Molecular Biology (563 citations), Computational Theory and Mathematics (99 citations), Virology (27 citations) and Immunology (86 citations). Sukrit Singh has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Gregory R. Bowman, Neha Vithani, Michael D. Ward, Maxwell I. Zimmerman, Andrea Soranno, Jason A. Wagoner, Alex S. Holehouse, Melissa D. Stuchell‐Brereton, Kathleen B. Hall and Daniel Griffith. Their work appears in journals such as The Journal of Physical Chemistry B, Proceedings of the National Academy of Sciences, Biophysical Journal, eLife 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.