Nir S. Gov
Impact in
- Cell Biology top 0.1%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Condensed Matter Physics top 2%
- Micro and Nano Robotics
Papers in
- Cell Biology 104
- Cellular Mechanics and Interactions 85
- Microtubule and mitosis dynamics 22
-
- Lipid Membrane Structure and Behavior 45
- Co-authors
- Samuel A. Safran (12 shared papers)Roie Shlomovitz (13 shared papers)Thorsten Auth (9 shared papers)Itai Pinkoviezky (9 shared papers)Raphaël Voituriez (13 shared papers)Jean‐François Joanny (2 shared papers)Ajay Gopinathan A (3 shared papers)Timo Betz (8 shared papers)
- Journals
- Biophysical Journal (24 papers)Proceedings of the National Academy of Sciences (14 papers)Nature Communications (10 papers)Physical Review Letters (10 papers)Soft Matter (7 papers)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Nir S. Gov
190 papers receiving 8.1k citations
Peers
Comparison fields: 5 of 134
- Cell Biology 3.4k
- Condensed Matter Physics 805
- Modeling and Simulation 309
- Statistical and Nonlinear Physics 677
- Molecular Biology 2.1k
Countries citing papers authored by Nir S. Gov
This map shows the geographic impact of Nir S. Gov'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 Nir S. Gov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir S. Gov more than expected).
Fields of papers citing papers by Nir S. Gov
This network shows the impact of papers produced by Nir S. Gov. 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 Nir S. Gov. The network helps show where Nir S. Gov may publish in the future.
Co-authors
The 25 scholars most cited alongside Nir S. Gov, 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 198 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 343 | |
| 2 | 2015 | 328 | |
| 3 | 2010 | 325 | |
| 4 | 2006 | 324 | |
| 5 | 2004 | 261 | |
| 6 | 2016 | 260 | |
| 7 | 2013 | 229 | |
| 8 | 2003 | 164 | |
| 9 | 2005 | 147 | |
| 10 | 2015 | 138 | |
| 11 | 2013 | 134 | |
| 12 | 2014 | 132 | |
| 13 | 2015 | 132 | |
| 14 | 2015 | 127 | |
| 15 | 2018 | 127 | |
| 16 | 2004 | 124 | |
| 17 | 2011 | 123 | |
| 18 | 2015 | 118 | |
| 19 | 2015 | 110 | |
| 20 | 2007 | 101 |
About Nir S. Gov
Nir S. Gov is a scholar working on Cell Biology, Molecular Biology, Statistical and Nonlinear Physics, Computer Networks and Communications and Condensed Matter Physics, having authored 198 papers that have together received 8.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (85 papers), Lipid Membrane Structure and Behavior (45 papers), Microtubule and mitosis dynamics (22 papers), Quantum, superfluid, helium dynamics (14 papers), Distributed Control Multi-Agent Systems (14 papers), Erythrocyte Function and Pathophysiology (13 papers), Micro and Nano Robotics (11 papers) and Evacuation and Crowd Dynamics (10 papers). The work is most often cited by research in Cell Biology (3.4k citations), Condensed Matter Physics (805 citations), Modeling and Simulation (309 citations), Statistical and Nonlinear Physics (677 citations) and Molecular Biology (2.1k citations). Nir S. Gov has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Samuel A. Safran, Roie Shlomovitz, Thorsten Auth, Itai Pinkoviezky, Raphaël Voituriez, Jean‐François Joanny, Ajay Gopinathan A, Timo Betz, Anton Zilman and Pascal Silberzan. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Nature Communications, Physical Review Letters and Soft Matter.
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.