Sen Wang

1.3k citations
43 papers · 834 · h-index 16

Impact in

    • Tuberculosis Research and Epidemiology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Epidemiology top 10%
    • Mycobacterium research and diagnosis

Papers in

Sen Wang

42 papers receiving 826 citations

Peers

Sen Wang
Comparison fields: 5 of 93
  • Infectious Diseases 515
  • Epidemiology 378
  • Cancer Research 90
  • Immunology 126
  • Virology 26
Replace Masaharu Shinkai with:
Masaharu Shinkai Japan
Shuihua Lu China
Scott A. Fulton United States
Christian Herzmann Germany
Hongxia Wei China
Kristina L. Bajema United States
Clifford V. Harding United States
Eisaku Tanaka Japan
Ping Tan China
Diana Aguilar‐León Mexico
Sen Wang relative to Masaharu Shinkai Japan Masaharu Shinkai's profile →
Citations per field
00.5×2.6×
Masaharu Shinkai · 1×
Citations per year

Countries citing papers authored by Sen Wang

Since Specialization
Citations

This map shows the geographic impact of Sen 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 Sen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Wang more than expected).

Fields of papers citing papers by Sen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sen 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 Sen Wang. The network helps show where Sen Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Sen Wang, 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 Sen Wang Line = papers co-authored together Sen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201196
2 201277
3 201171
4 202159
5 202250
6 201642
7 202141
8 202338
9 201829
10 201428
11 201927
12 201822
13 201220
14 201017
15 202016
16 202116
17 201215
18 201415
19 202215
20 201212

About Sen Wang

Sen Wang is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Immunology, having authored 43 papers that have together received 834 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (21 papers), Mycobacterium research and diagnosis (17 papers), Infectious Diseases and Tuberculosis (7 papers), Diagnosis and treatment of tuberculosis (4 papers), Pleural and Pulmonary Diseases (3 papers), Bacterial Genetics and Biotechnology (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Foot and Ankle Surgery (3 papers). The work is most often cited by research in Infectious Diseases (515 citations), Epidemiology (378 citations), Cancer Research (90 citations), Immunology (126 citations) and Virology (26 citations). Sen Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lingyun Shao, Jing Wu, Yan Gao, Wenhong Zhang, Jiazhen Chen, Xinhua Weng, Chanyi Lu, Ni Diao, Ying Zhang and Feifei Wang. Their work appears in journals such as Emerging Microbes & Infections, PLoS ONE, Cell Death and Differentiation, Human Immunology and Frontiers in Microbiology.

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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