Chenghui Yan

2.9k citations
166 papers · 2.3k · h-index 27

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Angiogenesis and VEGF in Cancer

Papers in

Chenghui Yan

159 papers receiving 2.2k citations

Peers

Chenghui Yan
Comparison fields: 5 of 119
  • Cancer Research 403
  • Molecular Biology 1.2k
  • Immunology 360
  • Cardiology and Cardiovascular Medicine 363
  • Immunology and Allergy 80
Replace Patrizia Nigro with:
Patrizia Nigro Italy
Philip M. Bauer United States
Sasha A. Singh United States
Ramendra K. Kundu United States
Mary M. Kavurma Australia
Maximillian A. Rogers United States
Weibin Cai China
Elena A. Goncharova United States
Mikko I. Mäyränpää Finland
Longhou Fang United States
Chenghui Yan relative to Patrizia Nigro Italy Patrizia Nigro's profile →
Citations per field
00.5×
Patrizia Nigro · 1×
Citations per year

Countries citing papers authored by Chenghui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chenghui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990139
2 202276
3 201471
4 202066
5 200766
6 199064
7 201654
8 201449
9 201348
10 200846
11 201439
12 201337
13 201036
14 202035
15 202035
16 201734
17 201433
18 200931
19 202131
20 201431

About Chenghui Yan

Chenghui Yan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Surgery and Cancer Research, having authored 166 papers that have together received 2.3k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (18 papers), Cardiac Fibrosis and Remodeling (14 papers), Angiogenesis and VEGF in Cancer (14 papers), Autophagy in Disease and Therapy (10 papers), Cell Adhesion Molecules Research (9 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers), S100 Proteins and Annexins (8 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Cancer Research (403 citations), Molecular Biology (1.2k citations), Immunology (360 citations), Cardiology and Cardiovascular Medicine (363 citations) and Immunology and Allergy (80 citations). Chenghui Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yaling Han, Xiaoxiang Tian, Jian Kang, Robert H. Costa, James Darnell, T A Van Dyke, Haixu Song, Xiaolin Zhang, Dan Liu and Jie Deng. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications, Frontiers in Cardiovascular Medicine, PLoS ONE and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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