Ye Shen

3.6k citations
122 papers · 2.5k · 1 hit paper · h-index 27

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 8
    • COVID-19 Clinical Research Studies 5
    • Influenza Virus Research Studies 18
    • Respiratory viral infections research 5

Ye Shen

108 papers receiving 2.5k citations

Ye Shen's Hit Papers

Community Outbreak Investigation of SARS-CoV-2 Transmission Among Bus Riders in Eastern China 2020 · 296 citations
2960+2+4Years since publication50100150200250

Peers

Ye Shen
Comparison fields: 5 of 160
  • Modeling and Simulation 218
  • Parasitology 141
  • Infectious Diseases 365
  • Emergency Medicine 108
  • Epidemiology 347
Replace Wei Hou with:
Wei Hou China
Kow‐Tong Chen Taiwan
Kevin Chatham‐Stephens United States
Saverio Caini Italy
Li Ye China
Xiaolong Gu China
Julia Leigh Finkelstein United States
Birgit Weinberger Austria
Denis Malvy France
Cameron Paul Hurst Australia
Ye Shen relative to Wei Hou China Wei Hou's profile →
Citations per field
00.5×1.6×
Wei Hou · 1×
Citations per year

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-authors

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.

Border = papers with Ye Shen Line = papers co-authored together Ye Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Community Outbreak Investigation of SARS-CoV-2 Transmission Among Bus Riders in Eastern China
Hit paper breakdown →
2020296
2 2013146
3 2017123
4 2020116
5 2005107
6 2019106
7 200696
8 201172
9 201869
10 202064
11 201963
12 200461
13 202160
14 201655
15 202054
16 201949
17 201538
18 201337
19 201237
20 201436

About Ye Shen

Ye Shen is a scholar working on Infectious Diseases, Epidemiology, Parasitology, Modeling and Simulation and Nutrition and Dietetics, having authored 122 papers that have together received 2.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (18 papers), Tuberculosis Research and Epidemiology (8 papers), Parasites and Host Interactions (8 papers), COVID-19 epidemiological studies (7 papers), Fatty Acid Research and Health (6 papers), Respiratory viral infections research (5 papers), Animal Disease Management and Epidemiology (5 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Modeling and Simulation (218 citations), Parasitology (141 citations), Infectious Diseases (365 citations), Emergency Medicine (108 citations) and Epidemiology (347 citations). Ye Shen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Changwei Li, Mark H. Ebell, Leonardo Martínez, Luqi Shen, Romergryko G. Geocadin, Bao Liu, Woncheol Jang, Toni P. Miles, Christopher C. Whalen and Zhenying Dong. Their work appears in journals such as The Journal of Infectious Diseases, JAMA Internal Medicine, PLoS ONE, American Journal of Tropical Medicine and Hygiene and American Journal of Respiratory and Critical Care Medicine.

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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