S. M. Ali Tabei
- Modeling and Simulation top 2%
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics 6
- Advanced Condensed Matter Physics 3
- Aging top 10%
- Cell Biology top 10%
- Cellular transport and secretion 4
- Microtubule and mitosis dynamics 4
- Cellular Mechanics and Interactions 4
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- Lipid Membrane Structure and Behavior 4
- DNA Repair Mechanisms 3
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- Stochastic processes and statistical mechanics 4
- Co-authors
- Aaron R. DinnerStanislav BurovLouis H. PhilipsonNorbert F. SchererAndrey KuznetsovJustin E. JurellerHee Young KimToan T. Huynh
- Partner nations
- United StatesCanadaFrance
In The Last Decade
S. M. Ali Tabei
27 papers receiving 900 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 123
- Condensed Matter Physics 195
- Statistical and Nonlinear Physics 187
- Aging 23
- Cell Biology 148
Countries citing papers authored by S. M. Ali Tabei
This map shows the geographic impact of S. M. Ali Tabei'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 S. M. Ali Tabei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. Ali Tabei more than expected).
Fields of papers citing papers by S. M. Ali Tabei
This network shows the impact of papers produced by S. M. Ali Tabei. 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 S. M. Ali Tabei. The network helps show where S. M. Ali Tabei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. M. Ali Tabei, 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 | 2024 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 9 | |
| 6 | 2019 | 74 | |
| 7 | 2019 | 7 | |
| 8 | 2018 | 46 | |
| 9 | 2016 | 15 | |
| 10 | 2015 | 78 | |
| 11 | 2014 | 19 | |
| 12 | 2013 | 278 | |
| 13 | 2011 | 6 | |
| 14 | 2011 | 2 | |
| 15 | 2011 | 4 | |
| 16 | 2010 | 55 | |
| 17 | 2008 | 11 | |
| 18 | Random Field Effects in the Transverse Field Ising Spin-Glass LiHo$_x$Y$_{1-x}$F$_4$ Magnetic Material. | 2006 | 2 |
| 19 | 2006 | 61 | |
| 20 | 2004 | 12 |
About S. M. Ali Tabei
S. M. Ali Tabei is a scholar working on Structural Biology, Condensed Matter Physics and Biophysics, having authored 27 papers that have together received 910 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (6 papers), Lipid Membrane Structure and Behavior (4 papers), Cellular transport and secretion (4 papers), Microtubule and mitosis dynamics (4 papers), Cellular Mechanics and Interactions (4 papers), Stochastic processes and statistical mechanics (4 papers), DNA Repair Mechanisms (3 papers) and Advanced Condensed Matter Physics (3 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Condensed Matter Physics (195 citations) and Statistical and Nonlinear Physics (187 citations). S. M. Ali Tabei has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Aaron R. Dinner, Stanislav Burov, Louis H. Philipson, Norbert F. Scherer, Andrey Kuznetsov, Justin E. Jureller, Hee Young Kim, Toan T. Huynh, Yvonne Lange and Theodore L. Steck. Their work appears in journals such as Physical Review B, Cytoskeleton, Biochemistry, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.