Ruizhi Yang
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 13
- Clinical Biochemistry top 5%
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- Mathematical and Theoretical Epidemiology and Ecology Models 46
- Cell Biology top 5%
- Global and Planetary Change top 5%
- Plant Water Relations and Carbon Dynamics 11
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- Evolution and Genetic Dynamics 40
- Genetic and phenotypic traits in livestock 7
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- Nonlinear Dynamics and Pattern Formation 24
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- Cancer-related molecular mechanisms research 7
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- Tree-ring climate responses 4
- Co-authors
- Dwight E. MatthewsDennis M. BierV. R. YoungH. P. SchwarzKathleen J. MotilChunrui ZhangXin JiaJunjie Wei
- Cited by
- Modeling and SimulationClinical BiochemistryPublic Health, Environmental and Occupational Health
- Journals
- Gastroenterology (1 paper)Scientific Reports (2 papers)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ruizhi Yang
92 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 134
- Modeling and Simulation 196
- Clinical Biochemistry 138
- Public Health, Environmental and Occupational Health 587
- Cell Biology 315
- Global and Planetary Change 372
Countries citing papers authored by Ruizhi Yang
This map shows the geographic impact of Ruizhi Yang'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 Ruizhi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruizhi Yang more than expected).
Fields of papers citing papers by Ruizhi Yang
This network shows the impact of papers produced by Ruizhi Yang. 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 Ruizhi Yang. The network helps show where Ruizhi Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruizhi Yang, 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 | 7 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 32 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2020 | 65 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 2 | |
| 16 | 2017 | 16 | |
| 17 | 2017 | 5 | |
| 18 | 2014 | 29 | |
| 19 | 2012 | 7 | |
| 20 | 1992 | 2 |
About Ruizhi Yang
Ruizhi Yang is a scholar working on Modeling and Simulation, Genetics and Public Health, Environmental and Occupational Health, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (46 papers), Evolution and Genetic Dynamics (40 papers), Nonlinear Dynamics and Pattern Formation (24 papers), Mathematical Biology Tumor Growth (13 papers), Plant Water Relations and Carbon Dynamics (11 papers), Cancer-related molecular mechanisms research (7 papers), Genetic and phenotypic traits in livestock (7 papers) and Tree-ring climate responses (4 papers). The work is most often cited by research in Modeling and Simulation (196 citations), Clinical Biochemistry (138 citations) and Public Health, Environmental and Occupational Health (587 citations). Ruizhi Yang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Dwight E. Matthews, Dennis M. Bier, V. R. Young, H. P. Schwarz, Kathleen J. Motil, Chunrui Zhang, Xin Jia, Junjie Wei, Yun Tian and Yujie Bai. Their work appears in journals such as Gastroenterology, Scientific Reports and ACS Applied Materials & Interfaces.
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.