Sima Setayeshgar
Impact in
- Biophysics top 5%
-
- stochastic dynamics and bifurcation
Papers in
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- Gene Regulatory Network Analysis 4
- Bacterial biofilms and quorum sensing 3
- Protein Structure and Dynamics 2
- Biochemical and Structural Characterization 2
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- Micro and Nano Robotics 3
- Co-authors
- William Bialek (2 shared papers)Yves V. Brun (4 shared papers)Nicholas A. Licata (3 shared papers)Clay Fuqua (3 shared papers)Jennifer K. Wagner (1 shared paper)James P. Reilly (1 shared paper)M. C. Cross (2 shared papers)Cécile Berne (2 shared papers)
- Journals
- mBio (2 papers)Proceedings of the National Academy of Sciences (2 papers)Physical Review Letters (2 papers)FEMS Microbiology Reviews (1 paper)Physical review. E (1 paper)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Sima Setayeshgar
17 papers receiving 690 citations
Peers
Comparison fields: 5 of 102
- Biophysics 55
- Statistical and Nonlinear Physics 87
- Molecular Biology 453
- Condensed Matter Physics 72
- Endocrinology 30
Countries citing papers authored by Sima Setayeshgar
This map shows the geographic impact of Sima Setayeshgar'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 Sima Setayeshgar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sima Setayeshgar more than expected).
Fields of papers citing papers by Sima Setayeshgar
This network shows the impact of papers produced by Sima Setayeshgar. 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 Sima Setayeshgar. The network helps show where Sima Setayeshgar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sima Setayeshgar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 314 | |
| 2 | 2006 | 78 | |
| 3 | 2008 | 70 | |
| 4 | 2016 | 61 | |
| 5 | 2013 | 35 | |
| 6 | 2005 | 29 | |
| 7 | 2018 | 20 | |
| 8 | 1998 | 20 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2001 | 13 | |
| 13 | 1999 | 9 | |
| 14 | Turing pattern formation in the chlorine dioxide-iodine- malonic acid reaction-diffusion system | 1998 | 2 |
| 15 | 2019 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2010 | 1 | |
| 18 | 2025 | 0 |
About Sima Setayeshgar
Sima Setayeshgar is a scholar working on Molecular Biology, Condensed Matter Physics, Genetics, Computer Networks and Communications and Ecology, having authored 18 papers that have together received 703 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Bacterial biofilms and quorum sensing (3 papers), Micro and Nano Robotics (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Protein Structure and Dynamics (2 papers), Evolution and Genetic Dynamics (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Biophysics (55 citations), Statistical and Nonlinear Physics (87 citations), Molecular Biology (453 citations), Condensed Matter Physics (72 citations) and Endocrinology (30 citations). Sima Setayeshgar has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include William Bialek, Yves V. Brun, Nicholas A. Licata, Clay Fuqua, Jennifer K. Wagner, James P. Reilly, M. C. Cross, Cécile Berne, Bogdan Dragnea and Andrew J. Bernoff. Their work appears in journals such as mBio, Proceedings of the National Academy of Sciences, Physical Review Letters, FEMS Microbiology Reviews and Physical review. E.
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.