Run‐Ze Ye
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Viral Infections and Vectors 10
- Viral Infections and Outbreaks Research 3
- SARS-CoV-2 and COVID-19 Research 3
- Parasitology 11
- Vector-borne infectious diseases 11
- Co-authors
- Wu‐Chun Cao (25 shared papers)Na Jia (14 shared papers)Lin Zhao (14 shared papers)Xiao-Ming Cui (13 shared papers)Wenqiang Shi (7 shared papers)Yuhao Zhou (5 shared papers)Chongqi Jia (2 shared papers)Li-Feng Du (5 shared papers)
- Journals
- One Health (2 papers)Emerging Microbes & Infections (2 papers)BMJ Open (2 papers)International Journal of Environmental Research and Public Health (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- ChinaBelarusUnited States
In The Last Decade
Run‐Ze Ye
26 papers receiving 176 citations
Peers
Comparison fields: 5 of 57
- Parasitology 57
- Modeling and Simulation 23
- Infectious Diseases 77
- Ecology, Evolution, Behavior and Systematics 32
- Nephrology 10
Countries citing papers authored by Run‐Ze Ye
This map shows the geographic impact of Run‐Ze Ye'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 Run‐Ze Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run‐Ze Ye more than expected).
Fields of papers citing papers by Run‐Ze Ye
This network shows the impact of papers produced by Run‐Ze Ye. 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 Run‐Ze Ye. The network helps show where Run‐Ze Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Run‐Ze Ye, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2020 | 15 | |
| 3 | 2020 | 15 | |
| 4 | 2020 | 13 | |
| 5 | 2018 | 11 | |
| 6 | 2019 | 11 | |
| 7 | 2020 | 9 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2025 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 4 |
About Run‐Ze Ye
Run‐Ze Ye is a scholar working on Infectious Diseases, Parasitology, Ecology, Evolution, Behavior and Systematics, Modeling and Simulation and Insect Science, having authored 30 papers that have together received 183 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (11 papers), Viral Infections and Vectors (10 papers), COVID-19 epidemiological studies (5 papers), Vector-Borne Animal Diseases (5 papers), Viral Infections and Outbreaks Research (3 papers), Insect symbiosis and bacterial influences (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Parasitology (57 citations), Modeling and Simulation (23 citations), Infectious Diseases (77 citations), Ecology, Evolution, Behavior and Systematics (32 citations) and Nephrology (10 citations). Run‐Ze Ye has collaborated with scholars based in China, Belarus and United States. Frequent co-authors include Wu‐Chun Cao, Na Jia, Lin Zhao, Xiao-Ming Cui, Wenqiang Shi, Yuhao Zhou, Chongqi Jia, Li-Feng Du, Ke Ma and Xiaoming Cui. Their work appears in journals such as One Health, Emerging Microbes & Infections, BMJ Open, International Journal of Environmental Research and Public Health and Frontiers in Public Health.
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.