Ye Shen
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 9
- Infectious Diseases top 5%
- Emergency Medicine top 5%
- Epidemiology top 10%
- Influenza Virus Research Studies 19
- Respiratory viral infections research 9
- Pneumonia and Respiratory Infections 7
- Health top 10%
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- Animal Disease Management and Epidemiology 8
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- Fatty Acid Research and Health 7
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- Parasites and Host Interactions 6
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- Global Maternal and Child Health 6
- Co-authors
- Changwei LiMark H. EbellLeonardo MartínezLiu BLuqi ShenRomergryko G. GeocadinWoncheol JangToni P. Miles
- Journals
- The Journal of Infectious Diseases (5 papers)American Journal of Tropical Medicine and Hygiene (4 papers)Epidemiology and Infection (3 papers)
- Partner nations
- United StatesChinaTanzania
In The Last Decade
Ye Shen
95 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 147
- Modeling and Simulation 106
- Infectious Diseases 329
- Emergency Medicine 124
- Epidemiology 423
- Health 73
Countries citing papers authored by Ye Shen
This map shows the geographic impact of Ye Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Shen more than expected).
Fields of papers citing papers by Ye Shen
This network shows the impact of papers produced by Ye Shen. 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 Shen. The network helps show where Ye Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ye Shen, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 23 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 22 | |
| 10 | 2021 | 25 | |
| 11 | Collateral Impact of the Covid-19 Pandemic on Tuberculosis Control in Jiangsu Province, China. | 2020 | 7 |
| 12 | 2020 | 20 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 46 | |
| 15 | 2019 | 19 | |
| 16 | 2019 | 13 | |
| 17 | 2019 | 48 | |
| 18 | 2018 | 58 | |
| 19 | Clinical trial of Yupingfeng and pidotimod in the treatment of children with recurrent respiratory tract infection | 2016 | 1 |
| 20 | 2010 | 3 |
About Ye Shen
Ye Shen is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Parasitology and Agronomy and Crop Science, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (19 papers), COVID-19 epidemiological studies (9 papers), Respiratory viral infections research (9 papers), Animal Disease Management and Epidemiology (8 papers), Fatty Acid Research and Health (7 papers), Pneumonia and Respiratory Infections (7 papers), Parasites and Host Interactions (6 papers) and Global Maternal and Child Health (6 papers). The work is most often cited by research in Modeling and Simulation (106 citations), Infectious Diseases (329 citations), Emergency Medicine (124 citations), Epidemiology (423 citations) and Health (73 citations). Ye Shen has collaborated with scholars based in United States, China and Tanzania. Frequent co-authors include Changwei Li, Mark H. Ebell, Leonardo Martínez, Liu B, Luqi Shen, Romergryko G. Geocadin, Woncheol Jang, Toni P. Miles, Christopher C. Whalen and Zhenying Dong. Their work appears in journals such as The Journal of Infectious Diseases, American Journal of Tropical Medicine and Hygiene, Epidemiology and Infection, PLoS ONE and Clinical Infectious Diseases.
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.