Yi Fu

852 citations
25 papers · 673 · h-index 12

Impact in

Papers in

    • Cardiac Arrhythmias and Treatments 5
    • Atrial Fibrillation Management and Outcomes 5
    • Parkinson's Disease Mechanisms and Treatments 2
    • Amyotrophic Lateral Sclerosis Research 2
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Yi Fu

22 papers receiving 668 citations

Peers

Yi Fu
Comparison fields: 5 of 104
  • Nephrology 151
  • Clinical Biochemistry 48
  • Geriatrics and Gerontology 25
  • Neurology 46
  • Neurology 81
Replace Qingchun Liang with:
Qingchun Liang China
Pan Liu China
Yiwen Li China
Paola Catanuto United States
Dorottya K. de Vries Netherlands
James W.S. Jahng United States
Jia-Shiong Chen Taiwan
Guoxian Qi China
Bingqing Deng China
Yi Fu relative to Qingchun Liang China Qingchun Liang's profile →
Citations per field
00.5×10×15×20×25×
Qingchun Liang · 1×
Citations per year

Countries citing papers authored by Yi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 2019128
3 201581
4 201671
5 202240
6 202238
7 201938
8 201622
9 201816
10 201916
11 202312
12 202111
13 202310
14 202110
15 20237
16 20226
17 20085
18 20244
19 20093
20 20232

About Yi Fu

Yi Fu is a scholar working on Cardiology and Cardiovascular Medicine, Neurology, Epidemiology, Surgery and Molecular Biology, having authored 25 papers that have together received 673 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Autophagy in Disease and Therapy (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Energy, Environment, Economic Growth (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Nephrology (151 citations), Clinical Biochemistry (48 citations), Geriatrics and Gerontology (25 citations), Neurology (46 citations) and Neurology (81 citations). Yi Fu has collaborated with scholars based in China and United States. Frequent co-authors include Ziying Wang, Fan Yi, Wei Tang, Yu Sun, Xiaojie Wang, Yan Zhang, Di Zhou, Min Liu, Meng Zhou and Yi Lu. Their work appears in journals such as Journal of Clinical Medicine, Frontiers in Energy Research, Cell Metabolism, Cell Death and Disease 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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