Yang Cao
Impact in
-
- stochastic dynamics and bifurcation
- Modeling and Simulation top 1%
Papers in
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- Numerical methods for differential equations 7
-
- stochastic dynamics and bifurcation 8
- Co-authors
- Linda PetzoldDaniel T. GillespieShengtai LiMuruhan RathinamCongjun LiRadu SerbanNaren RamakrishnanFang Jin
- Journals
- The Journal of Chemical Physics (14 papers)Diabetes (3 papers)BMC Bioinformatics (3 papers)PLoS Computational Biology (3 papers)SIAM Journal on Scientific Computing (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yang Cao
93 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 170
- Statistical and Nonlinear Physics 562
- Modeling and Simulation 207
- Statistics, Probability and Uncertainty 245
- Molecular Biology 2.4k
- Biophysics 185
Countries citing papers authored by Yang Cao
This map shows the geographic impact of Yang Cao'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 Yang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Cao more than expected).
Fields of papers citing papers by Yang Cao
This network shows the impact of papers produced by Yang Cao. 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 Yang Cao. The network helps show where Yang Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Cao, 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 | 2023 | 1 | |
| 3 | 2020 | 10 | |
| 4 | 2020 | 11 | |
| 5 | 2018 | 4 | |
| 6 | 2016 | 8 | |
| 7 | A-stable explicit nonlinear Runge-Kutta methods | 2012 | 0 |
| 8 | Transcriptional regulation by 20-hydroxyecydsone and its nuclear receptor EcR-USP. | 2011 | 3 |
| 9 | 2011 | 3 | |
| 10 | 2010 | 1 | |
| 11 | Parallel Load Balancing Strategies for Ensembles of Stochastic Biochemical Simulations | 2010 | 1 |
| 12 | 2009 | 3 | |
| 13 | Stochastic Simulation Algorithms for Chemical Reactions. | 2008 | 4 |
| 14 | Analysis of Goldbeter-Koshland Switch Using the Chemical Master Equation. | 2008 | 0 |
| 15 | 2008 | 5 | |
| 16 | 2008 | 6 | |
| 17 | 2005 | 114 | |
| 18 | 2005 | 125 | |
| 19 | 2002 | 79 | |
| 20 | 2000 | 24 |
About Yang Cao
Yang Cao is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics, Molecular Biology, Genetics and Statistics, Probability and Uncertainty, having authored 99 papers that have together received 3.9k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (49 papers), Microbial Metabolic Engineering and Bioproduction (18 papers), Bacterial Genetics and Biotechnology (17 papers), stochastic dynamics and bifurcation (8 papers), Numerical methods for differential equations (7 papers), Molecular Communication and Nanonetworks (6 papers), Fungal and yeast genetics research (6 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (562 citations), Modeling and Simulation (207 citations), Statistics, Probability and Uncertainty (245 citations), Molecular Biology (2.4k citations) and Biophysics (185 citations). Yang Cao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Linda Petzold, Daniel T. Gillespie, Shengtai Li, Muruhan Rathinam, Congjun Li, Radu Serban, Naren Ramakrishnan, Fang Jin, Edward J. Dougherty and Dan T. Gillespie. Their work appears in journals such as The Journal of Chemical Physics, Diabetes, BMC Bioinformatics, PLoS Computational Biology and SIAM Journal on Scientific Computing.
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.