Fu Yi

819 citations
24 papers · 575 · h-index 10

Impact in

Papers in

Fu Yi

19 papers receiving 570 citations

Peers

Fu Yi
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 160
  • Complementary and alternative medicine 39
  • Nephrology 33
  • Molecular Biology 326
  • Pathology and Forensic Medicine 55
Replace Simona Marchitti with:
Simona Marchitti Italy
Robrecht Thoonen United States
Guanglei Chang China
Fang Rao China
Tomasz A. Bonda Poland
Tsuneaki Homma Japan
Claire Vinel France
Rubin Tan China
Fu Yi relative to Simona Marchitti Italy Simona Marchitti's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fu Yi

Since Specialization
Citations

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

Fields of papers citing papers by Fu Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014277
2 201773
3 201548
4 201437
5 201431
6 201327
7 202019
8 201912
9 201010
10 20069
11 20186
12
Cardiac sodium/calcium exchanger preconditioning promotes anti-arrhythmic and cardioprotective effects through mitochondrial calcium-activated potassium channel.
20156
13
The Experimental Study for Gynostemma pentaphyllum With Sport Endurance
20005
14 20164
15 20223
16 20242
17 20202
18
[Effect of nanoparticle with vascular endothelial growth factor gene transferred into ischemic myocardium: experiment with rabbits].
20062
19 20242
20 20250

About Fu Yi

Fu Yi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 24 papers that have together received 575 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Ion channel regulation and function (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Cardiac pacing and defibrillation studies (2 papers), Peptidase Inhibition and Analysis (2 papers), Mesenchymal stem cell research (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (160 citations), Complementary and alternative medicine (39 citations), Nephrology (33 citations), Molecular Biology (326 citations) and Pathology and Forensic Medicine (55 citations). Fu Yi has collaborated with scholars based in China and United States. Frequent co-authors include Ling Tao, Haichang Wang, Yi Liu, Wenjun Yan, Lijian Zhang, Erhe Gao, Rutao Wang, Chao Xin, Lize Xiong and Di Zhu. Their work appears in journals such as Journal of Biological Chemistry, EP Europace, Basic Research in Cardiology, BioMed Research International and Oxidative Medicine and Cellular Longevity.

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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