Chao Tang
- Condensed Matter Physics top 0.1%
- Theoretical and Computational Physics 28
- Statistical and Nonlinear Physics top 0.1%
- Mathematical Physics top 0.2%
- Geophysics top 1%
- Economics and Econometrics top 0.2%
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- Gene Regulatory Network Analysis 27
- Protein Structure and Dynamics 24
- Bioinformatics and Genomic Networks 12
- RNA and protein synthesis mechanisms 11
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- Genetics, Aging, and Longevity in Model Organisms 15
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- Enzyme Structure and Function 15
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- Neuropeptides and Animal Physiology 10
- Co-authors
- Per BakKurt WiesenfeldMahito KohmotoLeo P. KadanoffWenzhe MaNed S. WingreenQi OuyangBill Sutherland
- Journals
- Science (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (8 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chao Tang
223 papers receiving 19.5k citations
Hit Papers
Peers
Comparison fields: 5 of 222
- Condensed Matter Physics 5.7k
- Statistical and Nonlinear Physics 3.0k
- Mathematical Physics 1.6k
- Geophysics 1.8k
- Economics and Econometrics 2.5k
Countries citing papers authored by Chao Tang
This map shows the geographic impact of Chao Tang'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 Chao Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Tang more than expected).
Fields of papers citing papers by Chao Tang
This network shows the impact of papers produced by Chao Tang. 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 Chao Tang. The network helps show where Chao Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chao Tang, 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 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 40 | |
| 15 | 2018 | 31 | |
| 16 | 2015 | 65 | |
| 17 | Defining Network Topologies that Can Achieve Biochemical Adaptationbreakdown → | 2009 | 664 |
| 18 | Robust, Tunable Biological Oscillations from Interlinked Positive and Negative Feedback Loopsbreakdown → | 2008 | 538 |
| 19 | 2002 | 27 | |
| 20 | 1986 | 2 |
About Chao Tang
Chao Tang is a scholar working on Aging, Condensed Matter Physics and Molecular Biology, having authored 233 papers that have together received 20.3k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (28 papers), Gene Regulatory Network Analysis (27 papers), Protein Structure and Dynamics (24 papers), Genetics, Aging, and Longevity in Model Organisms (15 papers), Enzyme Structure and Function (15 papers), Bioinformatics and Genomic Networks (12 papers), RNA and protein synthesis mechanisms (11 papers) and Neuropeptides and Animal Physiology (10 papers). The work is most often cited by research in Condensed Matter Physics (5.7k citations), Statistical and Nonlinear Physics (3.0k citations) and Mathematical Physics (1.6k citations). Chao Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Per Bak, Kurt Wiesenfeld, Mahito Kohmoto, Leo P. Kadanoff, Wenzhe Ma, Ned S. Wingreen, Qi Ouyang, Bill Sutherland, Wendell A. Lim and Hao Li. Their work appears in journals such as Science, Cell 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.