Ye Wang
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Epidemiology top 5%
- HIV, Drug Use, Sexual Risk
- Influenza Virus Research Studies
- Respiratory viral infections research
- Autophagy in Disease and Therapy
Papers in
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Epidemiology 58
- Influenza Virus Research Studies 11
- Respiratory viral infections research 11
- Adipokines, Inflammation, and Metabolic Diseases 7
- Autophagy in Disease and Therapy 6
- HIV, Drug Use, Sexual Risk 5
- Co-authors
- Bao‐Zhong WangSang‐Moo KangSpencer D. ProctorLei DengGilbert X. GonzalezM. Miriam Jacome‐SosaPeng LinQun He
- Journals
- AIDS and Behavior (4 papers)PLoS ONE (4 papers)Frontiers in Immunology (3 papers)Scientific Reports (2 papers)Infection Genetics and Evolution (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ye Wang
113 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 146
- Aging 136
- Epidemiology 738
- Infectious Diseases 356
- Immunology 286
- Molecular Biology 825
Countries citing papers authored by Ye Wang
This map shows the geographic impact of Ye Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Wang more than expected).
Fields of papers citing papers by Ye Wang
This network shows the impact of papers produced by Ye Wang. 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 Wang. The network helps show where Ye Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ye Wang, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 33 | |
| 13 | 2021 | 77 | |
| 14 | 2021 | 6 | |
| 15 | 2018 | 9 | |
| 16 | 2016 | 1 | |
| 17 | 2016 | 38 | |
| 18 | [Analysis of protective effect of using chickenpox live attenuated vaccine among 4-17 years old children in Minhang district, Shanghai]. | 2014 | 1 |
| 19 | 2009 | 12 | |
| 20 | 2006 | 99 |
About Ye Wang
Ye Wang is a scholar working on Aging, Epidemiology, Immunology, Infectious Diseases and Molecular Biology, having authored 121 papers that have together received 2.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Respiratory viral infections research (11 papers), Genomics and Phylogenetic Studies (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Gut microbiota and health (6 papers), Autophagy in Disease and Therapy (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and HIV, Drug Use, Sexual Risk (5 papers). The work is most often cited by research in Aging (136 citations), Epidemiology (738 citations), Infectious Diseases (356 citations), Immunology (286 citations) and Molecular Biology (825 citations). Ye Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bao‐Zhong Wang, Sang‐Moo Kang, Spencer D. Proctor, Lei Deng, Gilbert X. Gonzalez, M. Miriam Jacome‐Sosa, Peng Lin, Qun He, Erik C. Andersen and Yiping Liu. Their work appears in journals such as AIDS and Behavior, PLoS ONE, Frontiers in Immunology, Scientific Reports and Infection Genetics and Evolution.
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.