Da Zhou
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Catalysis top 10%
Papers in
-
- Gene Regulatory Network Analysis 8
- Single-cell and spatial transcriptomics 4
- Genetics 12
- Evolution and Genetic Dynamics 10
- Co-authors
- Arne Traulsen (4 shared papers)Long Wang (3 shared papers)Bin Wu (4 shared papers)Feng Fu (1 shared paper)Cheng Wang (7 shared papers)Yue Wang (4 shared papers)Bin Wu (2 shared papers)Kun Wang (3 shared papers)
- Journals
- Journal of Theoretical Biology (6 papers)Physical review. E (3 papers)PLoS ONE (2 papers)Quantitative Biology (2 papers)Chinese Journal of Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Da Zhou
56 papers receiving 920 citations
Peers
Comparison fields: 5 of 119
- Modeling and Simulation 90
- Catalysis 67
- Genetics 253
- Statistical and Nonlinear Physics 102
- Renewable Energy, Sustainability and the Environment 123
Countries citing papers authored by Da Zhou
This map shows the geographic impact of Da Zhou'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 Da Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Zhou more than expected).
Fields of papers citing papers by Da Zhou
This network shows the impact of papers produced by Da Zhou. 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 Da Zhou. The network helps show where Da Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 147 | |
| 2 | 2021 | 127 | |
| 3 | 2017 | 105 | |
| 4 | 2020 | 63 | |
| 5 | 2019 | 47 | |
| 6 | 2011 | 35 | |
| 7 | 2016 | 31 | |
| 8 | 2014 | 30 | |
| 9 | 2023 | 27 | |
| 10 | 2025 | 25 | |
| 11 | 2011 | 22 | |
| 12 | 2023 | 19 | |
| 13 | 2010 | 18 | |
| 14 | 2013 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 2019 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2015 | 15 | |
| 20 | 2016 | 14 |
About Da Zhou
Da Zhou is a scholar working on Molecular Biology, Genetics, Modeling and Simulation, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 951 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (10 papers), Mathematical Biology Tumor Growth (10 papers), Gene Regulatory Network Analysis (8 papers), Cancer Cells and Metastasis (7 papers), Evolutionary Game Theory and Cooperation (7 papers), Machine Learning in Materials Science (5 papers), Cancer Genomics and Diagnostics (4 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Modeling and Simulation (90 citations), Catalysis (67 citations), Genetics (253 citations), Statistical and Nonlinear Physics (102 citations) and Renewable Energy, Sustainability and the Environment (123 citations). Da Zhou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Arne Traulsen, Long Wang, Bin Wu, Feng Fu, Cheng Wang, Yue Wang, Bin Wu, Kun Wang, Yuming Su and Yiheng Dai. Their work appears in journals such as Journal of Theoretical Biology, Physical review. E, PLoS ONE, Quantitative Biology and Chinese Journal of Chemistry.
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.