Chenying Fu

2.1k citations
48 papers · 1.4k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Chenying Fu

46 papers receiving 1.3k citations

Hit Papers

Signaling pathways and targeted therapy for myocardial infarction 2022 · 501 citations
5012022202620232024100200300400500

Peers

Chenying Fu
Comparison fields: 5 of 118
  • Cardiology and Cardiovascular Medicine 269
  • Cancer Research 170
  • Complementary and Manual Therapy 25
  • Pathology and Forensic Medicine 168
  • Molecular Biology 570
Replace Matteo Beretta with:
Matteo Beretta Italy
Stephen F. Rodrigues Brazil
Julián Nevado Spain
Geeta D. Thakker United States
G. Allen Nickols United States
Fei Yang China
Jianyun Yan China
Pierre‐Yves von der Weid Canada
Carla Giordano Italy
Stuart H. Ralston United Kingdom
Chenying Fu relative to Matteo Beretta Italy Matteo Beretta's profile →
Citations per field
00.5×4.0×
Matteo Beretta · 1×
Citations per year

Countries citing papers authored by Chenying Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chenying Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20252
5 202437
6 20242
7 20247
8 202315
9 202310
10 20235
11 20235
12 202215
13 202272
14 20226
15 202225
16 20227
17 20213
18 202131
19 202013
20 201919

About Chenying Fu

Chenying Fu is a scholar working on Complementary and Manual Therapy, Biophysics, Issues, ethics and legal aspects, Rehabilitation and Immunology and Allergy, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (5 papers), Electromagnetic Fields and Biological Effects (5 papers), MicroRNA in disease regulation (5 papers), Spinal Cord Injury Research (5 papers), Musculoskeletal pain and rehabilitation (4 papers), Cancer-related molecular mechanisms research (3 papers), Caveolin-1 and cellular processes (3 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (269 citations), Cancer Research (170 citations), Complementary and Manual Therapy (25 citations), Pathology and Forensic Medicine (168 citations) and Molecular Biology (570 citations). Chenying Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Quan Wei, Chengqi He, Shiqi Wang, Qing Zhang, Lu Wang, Hongxin Cheng, Yang Wang, Gaiqin Pei, Lin Xu and Yangfu Jiang. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Bioelectromagnetics, Clinical Rehabilitation, Biomedicine & Pharmacotherapy and Cellular and Molecular Life Sciences.

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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