Cong Chen

1.5k citations
54 papers · 1.1k indexed · h-index 15

Impact in

    • Parasites and Host Interactions
    • Parasitic Diseases Research and Treatment
    • Dermatological diseases and infestations
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Cong Chen

53 papers receiving 1.0k citations

Peers

Cong Chen
Comparison fields: 5 of 117
  • Parasitology 214
  • Infectious Diseases 488
  • Small Animals 119
  • Applied Microbiology and Biotechnology 17
  • Internal Medicine 30
Replace Tapio Rantanen with:
Tapio Rantanen Finland
Adriana Malheiro Brazil
James B. Williams United States
Jake J. Wen United States
Duygu Yazgan Aksoy Türkiye
Animesh Ray India
G. Howitt United Kingdom
Sérgio Salles Xavier Brazil
J Brugmans Belgium
Rachna Gupta India
Cong Chen relative to Tapio Rantanen Finland Tapio Rantanen's profile →
Citations per field
00.5×10×13.8×
Tapio Rantanen · 1×
Citations per year

Countries citing papers authored by Cong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002249
2 2002215
3 201381
4 201756
5 200241
6 201640
7 202227
8 201525
9 202020
10 201719
11 201819
12 201717
13 201716
14 202116
15 201215
16 201614
17 202312
18 202211
19 202111
20 202310

About Cong Chen

Cong Chen is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Infectious Diseases, Geriatrics and Gerontology and Complementary and Manual Therapy, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (6 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac Fibrosis and Remodeling (4 papers), Cardiac Ischemia and Reperfusion (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Cardiac Imaging and Diagnostics (3 papers), Heart Failure Treatment and Management (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Parasitology (214 citations), Infectious Diseases (488 citations), Small Animals (119 citations), Applied Microbiology and Biotechnology (17 citations) and Internal Medicine (30 citations). Cong Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Coleen M. Clineschmidt, Christine Furtek, Robert Tipping, Cynthia Guzzo, David Sciberras, Kenneth C. Lasseter, Arturo G. Porras, John Y‐K. Hsieh, John Y.‐K. Hsieh and Qian Lin. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Medicine, Frontiers in Immunology, Biomedicine & Pharmacotherapy and The Journal of Clinical Pharmacology.

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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