Ye Wu
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- SARS-CoV-2 detection and testing
Papers in
-
- Data-Driven Disease Surveillance 2
- Ophthalmology and Visual Impairment Studies 1
-
- Heat shock proteins research 1
- Co-authors
- Lin Wang (2 shared papers)Xiao-Ke Xu (2 shared papers)Lauren Ancel Meyers (1 shared paper)Zhanwei Du (2 shared papers)Benjamin J. Cowling (1 shared paper)Yanru Liu (1 shared paper)Kejing Ying (1 shared paper)Xiaoling Xu (1 shared paper)
- Journals
- BMC Cancer (2 papers)iScience (1 paper)Medicine (1 paper)Journal of Cardiology (1 paper)European Journal of Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ye Wu
26 papers receiving 678 citations
Peers
Comparison fields: 5 of 92
- Modeling and Simulation 281
- Infectious Diseases 182
- Economics and Econometrics 86
- Pulmonary and Respiratory Medicine 89
- Epidemiology 79
Countries citing papers authored by Ye Wu
This map shows the geographic impact of Ye Wu'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 Ye Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Wu more than expected).
Fields of papers citing papers by Ye Wu
This network shows the impact of papers produced by Ye Wu. 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 Ye Wu. The network helps show where Ye Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Wu, 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 | 2020 | 410 | |
| 2 | 2015 | 43 | |
| 3 | 2022 | 27 | |
| 4 | 2015 | 25 | |
| 5 | 2025 | 19 | |
| 6 | 2002 | 17 | |
| 7 | 2014 | 16 | |
| 8 | 2006 | 15 | |
| 9 | 2023 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2025 | 12 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2018 | 5 | |
| 20 | [Relation of phlegm-stasis syndrome with insulin resistance and monocyte PPARgamma mRNA expression in patients with coronary heart disease]. | 2008 | 4 |
About Ye Wu
Ye Wu is a scholar working on Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 28 papers that have together received 690 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), Acute Myeloid Leukemia Research (2 papers), Data-Driven Disease Surveillance (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Biomarkers in Disease Mechanisms (1 paper), Heat shock proteins research (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Modeling and Simulation (281 citations), Infectious Diseases (182 citations), Economics and Econometrics (86 citations), Pulmonary and Respiratory Medicine (89 citations) and Epidemiology (79 citations). Ye Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lin Wang, Xiao-Ke Xu, Lauren Ancel Meyers, Zhanwei Du, Benjamin J. Cowling, Yanru Liu, Kejing Ying, Xiaoling Xu, Zhijun Li and Fei Li. Their work appears in journals such as BMC Cancer, iScience, Medicine, Journal of Cardiology and European Journal of Nutrition.
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.