Tao Chen

10.5k citations
174 papers · 5.7k · 1 hit paper · h-index 24

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 0.5%
    • Long-Term Effects of COVID-19

Papers in

Tao Chen

159 papers receiving 5.6k citations

Tao Chen's Hit Papers

Clinical and immunological features of severe and moderate coronavirus disease 2019 2020 · 3.2k citations
3.2k0+2+4Years since publication10002.0k3.0k

Peers

Tao Chen
Comparison fields: 5 of 148
  • Infectious Diseases 3.0k
  • Neurology 1.6k
  • Obstetrics and Gynecology 219
  • Biological Psychiatry 62
  • Immunology 523
Replace Fang Liu with:
Fang Liu China
Shusheng Li China
Jing Yang China
Jianxin Song China
Yijin Wang China
Changqing Bai China
Jin‐Wen Song China
Emilie Sanchez United Kingdom
Zhe Xu China
Jingmin Zhao China
Tao Chen relative to Fang Liu China Fang Liu's profile →
Citations per field
00.5×3.3×
Fang Liu · 1×
Citations per year

Countries citing papers authored by Tao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical and immunological features of severe and moderate coronavirus disease 2019
Hit paper breakdown →
20203242
2 2005268
3 2013211
4 2016179
5 201886
6 201085
7 201359
8 201757
9 200957
10 201143
11 199842
12 201141
13 201940
14 202139
15 202037
16 201937
17 201834
18 201431
19 202231
20 201526

About Tao Chen

Tao Chen is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Infectious Diseases and Oncology, having authored 174 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (17 papers), Pancreatic and Hepatic Oncology Research (16 papers), Blood Pressure and Hypertension Studies (15 papers), Influenza Virus Research Studies (11 papers), Tuberculosis Research and Epidemiology (9 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Respiratory viral infections research (9 papers) and Acute Myocardial Infarction Research (8 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Neurology (1.6k citations), Obstetrics and Gynecology (219 citations), Biological Psychiatry (62 citations) and Immunology (523 citations). Tao Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qin Ning, Meifang Han, Di Wu, Minxia Zhang, Shusheng Li, Jianping Zhao, Da Huang, Jianxin Song, Wei Guo and Yong Cao. Their work appears in journals such as Scientific Reports, Medicine, PLoS ONE, Frontiers in Cardiovascular Medicine and Journal of Biopharmaceutical Statistics.

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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