Weini Huang
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Genetics top 10%
- Evolution and Genetic Dynamics
Papers in
- Genetics 14
- Evolution and Genetic Dynamics 14
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- Evolutionary Game Theory and Cooperation 10
- Co-authors
- Arne Traulsen (6 shared papers)Christoph Hauert (2 shared papers)Benjamin Werner (8 shared papers)Bernhard Haubold (1 shared paper)Trevor A. Graham (7 shared papers)Lutz Becks (2 shared papers)Marc Williams (3 shared papers)Andrea Sottoriva (2 shared papers)
- Journals
- Nature Communications (3 papers)eLife (3 papers)Cancer Research (2 papers)PLoS Computational Biology (2 papers)iScience (1 paper)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Weini Huang
25 papers receiving 373 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 46
- Genetics 202
- Cancer Research 88
- Sociology and Political Science 153
- Public Health, Environmental and Occupational Health 80
Countries citing papers authored by Weini Huang
This map shows the geographic impact of Weini Huang'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 Weini Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weini Huang more than expected).
Fields of papers citing papers by Weini Huang
This network shows the impact of papers produced by Weini Huang. 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 Weini Huang. The network helps show where Weini Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weini Huang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 73 | |
| 2 | 2012 | 45 | |
| 3 | 2019 | 43 | |
| 4 | 2017 | 36 | |
| 5 | 2020 | 36 | |
| 6 | 2009 | 20 | |
| 7 | 2019 | 17 | |
| 8 | 2018 | 17 | |
| 9 | 2016 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2012 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2010 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2025 | 4 |
About Weini Huang
Weini Huang is a scholar working on Genetics, Sociology and Political Science, Cancer Research, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 28 papers that have together received 378 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (14 papers), Cancer Genomics and Diagnostics (10 papers), Evolutionary Game Theory and Cooperation (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Mathematical Biology Tumor Growth (4 papers), Single-cell and spatial transcriptomics (4 papers), Genetic factors in colorectal cancer (3 papers) and Experimental Behavioral Economics Studies (2 papers). The work is most often cited by research in Modeling and Simulation (46 citations), Genetics (202 citations), Cancer Research (88 citations), Sociology and Political Science (153 citations) and Public Health, Environmental and Occupational Health (80 citations). Weini Huang has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Arne Traulsen, Christoph Hauert, Benjamin Werner, Bernhard Haubold, Trevor A. Graham, Lutz Becks, Marc Williams, Andrea Sottoriva, Teppo Hiltunen and Amy M. Boddy. Their work appears in journals such as Nature Communications, eLife, Cancer Research, PLoS Computational Biology and iScience.
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.