Sima Setayeshgar
Impact in
- Biophysics top 5%
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- 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
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- Micro and Nano Robotics 3
- Theoretical and Computational Physics 2
- Co-authors
- William Bialek (2 shared papers)Yves V. Brun (4 shared papers)Nicholas A. Licata (3 shared papers)Clay Fuqua (3 shared papers)James P. Reilly (1 shared paper)Jennifer K. Wagner (1 shared paper)M. C. Cross (2 shared papers)Cécile Berne (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)mBio (2 papers)Physical Review Letters (2 papers)Journal of Bacteriology (1 paper)The ISME Journal (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Sima Setayeshgar
16 papers receiving 684 citations
Peers
Comparison fields: 5 of 100
- Biophysics 55
- Statistical and Nonlinear Physics 88
- Molecular Biology 463
- Condensed Matter Physics 73
- 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 | 310 | |
| 2 | 2006 | 80 | |
| 3 | 2008 | 71 | |
| 4 | 2016 | 59 | |
| 5 | 2013 | 34 | |
| 6 | 2005 | 28 | |
| 7 | 1998 | 20 | |
| 8 | 2018 | 19 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 15 | |
| 11 | 2015 | 15 | |
| 12 | 2001 | 14 | |
| 13 | 1999 | 9 | |
| 14 | Turing pattern formation in the chlorine dioxide-iodine- malonic acid reaction-diffusion system | 1998 | 2 |
| 15 | 2019 | 1 | |
| 16 | 2010 | 1 | |
| 17 | 2025 | 0 |
About Sima Setayeshgar
Sima Setayeshgar is a scholar working on Molecular Biology, Condensed Matter Physics, Genetics, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 17 papers that have together received 697 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Bacterial biofilms and quorum sensing (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Micro and Nano Robotics (3 papers), Bacterial Genetics and Biotechnology (2 papers), Theoretical and Computational Physics (2 papers), Protein Structure and Dynamics (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Biophysics (55 citations), Statistical and Nonlinear Physics (88 citations), Molecular Biology (463 citations), Condensed Matter Physics (73 citations) and Endocrinology (30 citations). Sima Setayeshgar has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include William Bialek, Yves V. Brun, Nicholas A. Licata, Clay Fuqua, James P. Reilly, Jennifer K. Wagner, M. C. Cross, Cécile Berne, Bogdan Dragnea and Ioannis G. Kevrekidis. Their work appears in journals such as Proceedings of the National Academy of Sciences, mBio, Physical Review Letters, Journal of Bacteriology and The ISME Journal.
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.