Sandip Kar
Impact in
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- stochastic dynamics and bifurcation
- Modeling and Simulation top 10%
Papers in
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- Gene Regulatory Network Analysis 15
- Pluripotent Stem Cells Research 7
- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 4
- Protein Structure and Dynamics 3
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- Nonlinear Dynamics and Pattern Formation 11
- Co-authors
- Deb Shankar Ray (11 shared papers)John J. Tyson (2 shared papers)Mark R. Paul (1 shared paper)William T. Baumann (1 shared paper)Syed Shahed Riaz (4 shared papers)Suman Kumar Banik (2 shared papers)Béla Novák (1 shared paper)Andrea Ciliberto (1 shared paper)
- Journals
- Journal of Theoretical Biology (4 papers)FEBS Letters (4 papers)The European Physical Journal B (3 papers)The Journal of Chemical Physics (2 papers)ChemPhysChem (2 papers)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Sandip Kar
37 papers receiving 593 citations
Peers
Comparison fields: 5 of 84
- Statistical and Nonlinear Physics 160
- Modeling and Simulation 40
- Computer Networks and Communications 156
- Molecular Biology 336
- Biophysics 27
Countries citing papers authored by Sandip Kar
This map shows the geographic impact of Sandip 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 Sandip Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandip Kar more than expected).
Fields of papers citing papers by Sandip Kar
This network shows the impact of papers produced by Sandip 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 Sandip Kar. The network helps show where Sandip Kar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandip 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 117 | |
| 2 | 2007 | 62 | |
| 3 | 2017 | 62 | |
| 4 | 2016 | 45 | |
| 5 | 2003 | 35 | |
| 6 | 2012 | 34 | |
| 7 | 2005 | 27 | |
| 8 | 2003 | 27 | |
| 9 | 2004 | 27 | |
| 10 | 2004 | 23 | |
| 11 | 2006 | 18 | |
| 12 | 2005 | 14 | |
| 13 | 2002 | 13 | |
| 14 | 2018 | 11 | |
| 15 | 2017 | 9 | |
| 16 | 2016 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2021 | 5 |
About Sandip Kar
Sandip Kar is a scholar working on Molecular Biology, Computer Networks and Communications, Statistical and Nonlinear Physics, Cell Biology and Modeling and Simulation, having authored 37 papers that have together received 599 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (15 papers), Nonlinear Dynamics and Pattern Formation (11 papers), Pluripotent Stem Cells Research (7 papers), stochastic dynamics and bifurcation (6 papers), Single-cell and spatial transcriptomics (4 papers), RNA Research and Splicing (4 papers), Protein Structure and Dynamics (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (160 citations), Modeling and Simulation (40 citations), Computer Networks and Communications (156 citations), Molecular Biology (336 citations) and Biophysics (27 citations). Sandip Kar has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Deb Shankar Ray, John J. Tyson, Mark R. Paul, William T. Baumann, Syed Shahed Riaz, Suman Kumar Banik, Béla Novák, Andrea Ciliberto, Thomas Höfer and Ursula Klingmüller. Their work appears in journals such as Journal of Theoretical Biology, FEBS Letters, The European Physical Journal B, The Journal of Chemical Physics and ChemPhysChem.
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.