Chen Jin

928 citations
29 papers · 652 · h-index 13

Impact in

Papers in

Chen Jin

28 papers receiving 645 citations

Peers

Chen Jin
Comparison fields: 5 of 61
  • Cancer Research 180
  • Cardiology and Cardiovascular Medicine 222
  • Molecular Biology 306
  • Genetics 38
  • Geriatrics and Gerontology 12
Replace Xiaqiu Tian with:
Xiaqiu Tian China
Shufu Chang China
Motoi Okada Japan
Peisen Huang China
Jeremy Ben‐Shoshan Israel
Jianying Ma China
Ryan H. Cunnington Canada
Sapna Arjun United Kingdom
Shingo Minatoguchi Japan
Chen Jin relative to Xiaqiu Tian China Xiaqiu Tian's profile →
Citations per field
00.5×1.5×2.4×
Xiaqiu Tian · 1×
Citations per year

Countries citing papers authored by Chen Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019279
2 202059
3 202145
4 201736
5 201630
6 201326
7 201623
8 201722
9 201522
10 201519
11 201818
12
Tongxinluo modulates cytokine secretion by cardiac microvascular endothelial cells in ischemia/reperfusion injury.
201616
13 202012
14 20238
15 20177
16 20225
17 20184
18 20234
19 20223
20 20213

About Chen Jin

Chen Jin is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Cancer Research, having authored 29 papers that have together received 652 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (8 papers), Lipid metabolism and disorders (7 papers), Vascular Procedures and Complications (4 papers), Coronary Interventions and Diagnostics (4 papers), Cancer-related molecular mechanisms research (3 papers), ATP Synthase and ATPases Research (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Cancer Research (180 citations), Cardiology and Cardiovascular Medicine (222 citations), Molecular Biology (306 citations), Genetics (38 citations) and Geriatrics and Gerontology (12 citations). Chen Jin has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yuejin Yang, Xiaqiu Tian, Peisen Huang, Haiyan Qian, Guihao Chen, Qing Li, Yuyan Xiong, Jun Xu, Li Wang and Yu Yuan. Their work appears in journals such as PLoS ONE, Journal of the American Heart Association, Cardiovascular Research, BMC Cardiovascular Disorders and Medicine.

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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