Ye Shen

3.4k total citations
106 papers, 1.8k citations indexed

About

Ye Shen is a scholar working on Epidemiology, Infectious Diseases and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ye Shen has authored 106 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 20 papers in Infectious Diseases and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ye Shen's work include Influenza Virus Research Studies (19 papers), COVID-19 epidemiological studies (9 papers) and Respiratory viral infections research (9 papers). Ye Shen is often cited by papers focused on Influenza Virus Research Studies (19 papers), COVID-19 epidemiological studies (9 papers) and Respiratory viral infections research (9 papers). Ye Shen collaborates with scholars based in United States, China and Tanzania. Ye Shen's 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 and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ye Shen

95 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ye Shen United States 23 423 329 281 275 201 106 1.8k
Julia L. Finkelstein United States 28 226 0.5× 363 1.1× 242 0.9× 251 0.9× 634 3.2× 121 2.6k
Wade Watson Canada 36 293 0.7× 185 0.6× 443 1.6× 89 0.3× 194 1.0× 93 4.4k
Yingxi Chen China 25 250 0.6× 180 0.5× 666 2.4× 202 0.7× 129 0.6× 111 2.0k
Supriya Krishnan United States 22 315 0.7× 371 1.1× 167 0.6× 101 0.4× 447 2.2× 42 1.9k
Pierre‐Régis Burgel France 44 811 1.9× 494 1.5× 811 2.9× 187 0.7× 158 0.8× 248 6.6k
Xiaohua Wang China 30 327 0.8× 255 0.8× 351 1.2× 123 0.4× 870 4.3× 82 3.4k
Jinquan Cheng China 30 462 1.1× 416 1.3× 353 1.3× 64 0.2× 284 1.4× 102 2.4k
Yusra Habib Khan Pakistan 21 224 0.5× 491 1.5× 220 0.8× 69 0.3× 339 1.7× 136 1.8k
Yoojin Lee United States 30 595 1.4× 346 1.1× 366 1.3× 46 0.2× 170 0.8× 113 2.4k
Lars Peter Nielsen Denmark 33 860 2.0× 463 1.4× 253 0.9× 50 0.2× 124 0.6× 113 3.1k

Countries citing papers authored by Ye Shen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ye Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Shen. A scholar is included among the top collaborators of Ye Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ye Shen. Ye Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Chen, Cheng, C. Robert Horsburgh, Mark Hatherill, et al.. (2025). Trajectories of Interferon-Gamma Release Assay Results Over 2 Years in Independent Cohorts From China, South Africa, Tanzania, and the United States. CHEST Journal. 168(1). 33–42.
3.
Ge, Yang, Jessica Knight, Amanda L. Skarlupka, et al.. (2025). High-Dose Inactivated Influenza Vaccine Inconsistently Improves Heterologous Antibody Responses in an Older Human Cohort. The Journal of Infectious Diseases. 231(6). 1536–1543.
5.
Ge, Yang, Yao Lu, James D. Allen, et al.. (2024). Pre-existing immunity to influenza aids ferrets in developing stronger and broader H3 vaccine-induced antibody responses. Vaccine. 42(21). 126149–126149. 1 indexed citations
7.
Sun, Yitang, Suhang Song, Nikhil K. Khankari, et al.. (2024). Associations of plasma omega‐6 and omega‐3 fatty acids with overall and 19 site‐specific cancers: A population‐based cohort study in UK Biobank. International Journal of Cancer. 156(6). 1154–1172. 5 indexed citations
8.
Ross, Ted M., et al.. (2024). Estimating Standard-Dose and High-Dose Fluzone Vaccine Efficacies for Influenza A Based on Hemagglutination Inhibition Titers. The Journal of Infectious Diseases. 231(5). 1336–1345. 1 indexed citations
10.
Liu, Qiao, Hongqiu Pan, Ye Shen, et al.. (2021). Glycemic Trajectories and Treatment Outcomes of Patients with Newly Diagnosed Tuberculosis: A Prospective Study in Eastern China. American Journal of Respiratory and Critical Care Medicine. 204(3). 347–356. 25 indexed citations
11.
Liu, Qiao, Peng Lü, Ye Shen, et al.. (2020). Collateral Impact of the Covid-19 Pandemic on Tuberculosis Control in Jiangsu Province, China.. Clinical Infectious Diseases. 7 indexed citations
12.
Shen, Ye, Wenjie Xu, Changwei Li, et al.. (2020). A Cluster of Novel Coronavirus Disease 2019 Infections Indicating Person-to-Person Transmission Among Casual Contacts From Social Gatherings: An Outbreak Case-Contact Investigation. Open Forum Infectious Diseases. 7(6). ofaa231–ofaa231. 20 indexed citations
13.
Ebell, Mark H., et al.. (2020). Associations Between Relative Viral Load at Diagnosis and Influenza A Symptoms and Recovery. Open Forum Infectious Diseases. 7(11). ofaa494–ofaa494. 7 indexed citations
14.
Liu, Qiao, Peng Lü, Ye Shen, et al.. (2020). Collateral Impact of the Coronavirus Disease 2019 (COVID-19) Pandemic on Tuberculosis Control in Jiangsu Province, China. Clinical Infectious Diseases. 73(3). 542–544. 46 indexed citations
15.
Li, Changwei, Jiang He, Shengxu Li, et al.. (2019). Novel Metabolites Are Associated With Augmentation Index and Pulse Wave Velocity: Findings From the Bogalusa Heart Study. American Journal of Hypertension. 32(6). 547–556. 19 indexed citations
16.
Martínez, Leonardo, Wei Cheng, Xiaoxiao Wang, et al.. (2019). A Risk Classification Model to Predict Mortality Among Laboratory-Confirmed Avian Influenza A H7N9 Patients: A Population-Based Observational Cohort Study. The Journal of Infectious Diseases. 220(11). 1780–1789. 13 indexed citations
17.
Zhong, Lixian, et al.. (2019). Prevalence and incidence of systemic sclerosis: A systematic review and meta‐analysis. International Journal of Rheumatic Diseases. 22(12). 2096–2107. 48 indexed citations
18.
Li, Changwei, Toni P. Miles, Luqi Shen, et al.. (2018). Early-life exposure to severe famine and subsequent risk of depressive symptoms in late adulthood: the China Health and Retirement Longitudinal Study. The British Journal of Psychiatry. 213(4). 579–586. 58 indexed citations
19.
Shen, Ye, et al.. (2016). Clinical trial of Yupingfeng and pidotimod in the treatment of children with recurrent respiratory tract infection. 32(18). 1683. 1 indexed citations
20.
Berg, Arthur, et al.. (2010). Trilocus Disequilibrium Analysis of Multiallelic Markers in Outcrossing Populations. Statistical Applications in Genetics and Molecular Biology. 9(1). Article 16–Article 16. 3 indexed citations

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.

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