Jinyu Chi

576 citations
26 papers · 487 · h-index 14

Impact in

Papers in

Jinyu Chi

26 papers receiving 483 citations

Peers

Jinyu Chi
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 113
  • Physiology 20
  • Nephrology 29
  • Molecular Biology 257
  • Cancer Research 51
Replace Bowen Li with:
Bowen Li China
Zhongming Zhang China
Yunhe Zhang China
Opher S. Kornfeld United States
Michelle Jennings United States
Markus Blaess Germany
Ziyi Liu China
Masoud Pezeshkian Iran
Jeffery D. Hasday United States
Jinyu Chi relative to Bowen Li China Bowen Li's profile →
Citations per field
00.5×1.5×1.9×
Bowen Li · 1×
Citations per year

Countries citing papers authored by Jinyu Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jinyu Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201583
2 201745
3 201938
4 201237
5 201926
6 201425
7
Cyclosporin A induces cardiomyocyte injury through calcium-sensing receptor-mediated calcium overload.
201122
8 201520
9 201820
10 202019
11 201216
12 201714
13 201514
14 201814
15 201213
16 201813
17 202013
18 201611
19
Involvement of the calcium-sensing receptor in cyclosporin A-induced cardiomyocyte apoptosis in rats.
20119
20 20238

About Jinyu Chi

Jinyu Chi is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Immunology and Occupational Therapy, having authored 26 papers that have together received 487 indexed citations. Recurring topics across this work include Occupational Health and Performance (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Pregnancy-related medical research (4 papers), Inflammasome and immune disorders (4 papers), Autophagy in Disease and Therapy (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Injury Epidemiology and Prevention (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (113 citations), Physiology (20 citations), Nephrology (29 citations), Molecular Biology (257 citations) and Cancer Research (51 citations). Jinyu Chi has collaborated with scholars based in China. Frequent co-authors include Xinhua Yin, Yu Fu, Wenxiu Liu, Yue Liu, Meng Zhao, Xiaohui Zhang, Xiaohui Zhang, Xin Zhang, Yejing Zhu and Zhiyu Shi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Annals of Translational Medicine, Molecular and Cellular Biochemistry, Cellular Physiology and Biochemistry and Biochimie.

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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