Vikram Sunkara
Impact in
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Gene Regulatory Network Analysis 7
- Receptor Mechanisms and Signaling 4
- Protein Structure and Dynamics 3
- Microbial Metabolic Engineering and Bioproduction 3
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- Neuropeptides and Animal Physiology 3
- Co-authors
- Christof Schütte (7 shared papers)Max von Kleist (6 shared papers)Paolo Annibale (1 shared paper)Martin J. Lohse (1 shared paper)Christos Karathanasis (1 shared paper)Andreas Böck (1 shared paper)Mike Heilemann (1 shared paper)Titiwat Sungkaworn (1 shared paper)
In The Last Decade
Vikram Sunkara
23 papers receiving 252 citations
Peers
Comparison fields: 5 of 83
- Biophysics 27
- Structural Biology 6
- Rheumatology 44
- Cellular and Molecular Neuroscience 51
- Virology 11
Countries citing papers authored by Vikram Sunkara
This map shows the geographic impact of Vikram Sunkara'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 Vikram Sunkara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Sunkara more than expected).
Fields of papers citing papers by Vikram Sunkara
This network shows the impact of papers produced by Vikram Sunkara. 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 Vikram Sunkara. The network helps show where Vikram Sunkara may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram Sunkara, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 98 | |
| 2 | 2019 | 32 | |
| 3 | 2020 | 21 | |
| 4 | 2016 | 18 | |
| 5 | 2021 | 15 | |
| 6 | 2019 | 13 | |
| 7 | 2010 | 13 | |
| 8 | 2020 | 7 | |
| 9 | The Chemical Master Equation With Respect To Reaction Counts | 2009 | 6 |
| 10 | 2021 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2019 | 1 |
About Vikram Sunkara
Vikram Sunkara is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Rheumatology and Genetics, having authored 26 papers that have together received 254 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (7 papers), Receptor Mechanisms and Signaling (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Protein Structure and Dynamics (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Neuropeptides and Animal Physiology (3 papers), Markov Chains and Monte Carlo Methods (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Biophysics (27 citations), Structural Biology (6 citations), Rheumatology (44 citations), Cellular and Molecular Neuroscience (51 citations) and Virology (11 citations). Vikram Sunkara has collaborated with scholars based in Germany, Australia and Thailand. Frequent co-authors include Christof Schütte, Max von Kleist, Paolo Annibale, Martin J. Lohse, Christos Karathanasis, Andreas Böck, Mike Heilemann, Titiwat Sungkaworn, Jan Møller and Markus Hegland. Their work appears in journals such as Osteoarthritis and Cartilage, Scientific Reports, Molecular Simulation, Nature Chemical Biology and Applied Network Science.
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.