Jingzhou Chen

2.1k citations
84 papers · 1.5k · h-index 22

Impact in

Papers in

Jingzhou Chen

83 papers receiving 1.5k citations

Peers

Jingzhou Chen
Comparison fields: 5 of 110
  • Cancer Research 299
  • Cardiology and Cardiovascular Medicine 428
  • Molecular Biology 709
  • Biochemistry 58
  • Immunology 158
Replace Chaoyong He with:
Chaoyong He China
Yi Pan Canada
Naohiko Ueda Japan
Huaqing Zhu China
Hidetsugu Matsushita Japan
Xudong Liao United States
Naohiro Yano United States
Zhi‐Sheng Jiang China
Michinari Nakamura United States
Kazuyuki Hida Japan
Jingzhou Chen relative to Chaoyong He China Chaoyong He's profile →
Citations per field
00.5×1.5×
Chaoyong He · 1×
Citations per year

Countries citing papers authored by Jingzhou Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jingzhou Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200988
2 200887
3 201171
4 202260
5 201454
6 202251
7 201048
8 201743
9
Anti-hypertensive effect of Lycium barbarum L. with down-regulated expression of renal endothelial lncRNA sONE in a rat model of salt-sensitive hypertension.
201538
10 200533
11 200933
12 201232
13 201132
14 201431
15 200530
16 200829
17 200828
18 200727
19 200927
20 201025

About Jingzhou Chen

Jingzhou Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Neurology and Endocrinology, Diabetes and Metabolism, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Cancer-related molecular mechanisms research (7 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), RNA Research and Splicing (5 papers), Kruppel-like factors research (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Blood Pressure and Hypertension Studies (5 papers) and Intracerebral and Subarachnoid Hemorrhage Research (5 papers). The work is most often cited by research in Cancer Research (299 citations), Cardiology and Cardiovascular Medicine (428 citations), Molecular Biology (709 citations), Biochemistry (58 citations) and Immunology (158 citations). Jingzhou Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rutai Hui, Kai Sun, Yongyi Bai, Yinhui Zhang, Xiaojian Wang, Weili Zhang, Xiaodong Song, Channa Zhang, Weihua Song and Hui Yu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Clinical Science, Atherosclerosis, American Journal of Clinical Nutrition and Clinical and Experimental Hypertension.

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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