Congcong Chen

36 papers receiving 439 citations

Peers

Congcong Chen
Comparison fields: 5 of 103
  • Critical Care and Intensive Care Medicine 80
  • Anesthesiology and Pain Medicine 50
  • Nephrology 61
  • Developmental Neuroscience 24
  • Emergency Medicine 33
Replace Tatsuo Iwasaki with:
Tatsuo Iwasaki Japan
Débora S. Ornellas Brazil
Nathan Brinkman United States
R Wakusawa Japan
Takae Kawamura Japan
Joanne Favuzza United States
Michael Jacobs Netherlands
Pierpaolo Giomarelli Italy
Bingyang Ji China
Annette D. Rieg Germany
Congcong Chen relative to Tatsuo Iwasaki Japan Tatsuo Iwasaki's profile →
Citations per field
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Tatsuo Iwasaki · 1×
Citations per year

Countries citing papers authored by Congcong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Congcong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011114
2 202054
3 200953
4 201948
5 201625
6 202113
7 201510
8 200910
9 20239
10 20249
11 20209
12 20229
13 20218
14 20158
15 20237
16 20236
17 20216
18 20226
19 20225
20 20245

About Congcong Chen

Congcong Chen is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 450 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Hormonal and reproductive studies (4 papers), Tailings Management and Properties (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac Arrest and Resuscitation (3 papers), Pancreatitis Pathology and Treatment (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (80 citations), Anesthesiology and Pain Medicine (50 citations), Nephrology (61 citations), Developmental Neuroscience (24 citations) and Emergency Medicine (33 citations). Congcong Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Daniel Chappell, Bernhard F. Becker, Matthias Jacob, Thorsten Annecke, P. Conzen, Bernhard Heindl, Markus Rehm, Qun Ni, Min Yan and Yongyu Bai. Their work appears in journals such as Molecular Carcinogenesis, Scientific Reports, International Journal of Surgery, Geotechnical and Geological Engineering and Archives of Biochemistry and Biophysics.

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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