Cong Chen

1.6k citations
54 papers · 1.1k · h-index 16

Impact in

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

Papers in

Cong Chen

54 papers receiving 1.1k citations

Peers

Cong Chen
Comparison fields: 5 of 114
  • Infectious Diseases 470
  • Parasitology 166
  • Small Animals 93
  • Cardiology and Cardiovascular Medicine 151
  • Internal Medicine 19
Replace Tapio Rantanen with:
Tapio Rantanen Finland
Charles Brummitt United States
Vera Afreixo Portugal
Miriam L. Cameron United States
James B. Williams United States
Kathryn L. Howe Canada
Animesh Ray India
Nasir Salam India
Ying Wen China
Jiandong Shi China
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Citations per field
00.5×10×12.7×
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 2002253
2 2002215
3 201382
4 201757
5 200240
6 201640
7 202228
8 201527
9 202021
10 201720
11 201819
12 201718
13 202117
14 201716
15 201215
16 201615
17 202314
18 202313
19 202212
20 202112

About Cong Chen

Cong Chen is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Molecular Biology, Complementary and alternative medicine and Pathology and Forensic Medicine, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (4 papers), Traditional Chinese Medicine Analysis (4 papers), Cardiovascular Function and Risk Factors (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Tuberculosis Research and Epidemiology (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Traditional Chinese Medicine Studies (2 papers). The work is most often cited by research in Infectious Diseases (470 citations), Parasitology (166 citations), Small Animals (93 citations), Cardiology and Cardiovascular Medicine (151 citations) and Internal Medicine (19 citations). Cong Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Christine Furtek, Coleen M. Clineschmidt, Cynthia Guzzo, Robert Tipping, Arturo G. Porras, David Sciberras, Kenneth C. Lasseter, 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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