Leming Fan

23 papers receiving 405 citations

Peers

Leming Fan
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 68
  • Cardiology and Cardiovascular Medicine 84
  • Surgery 74
  • Immunology 35
  • Molecular Biology 117
Replace Wenhui Ding with:
Wenhui Ding China
Yuen Ting Lam Australia
Joshua Cutts United States
Jiahn-Chun Wu Taiwan
Shipeng Dang China
Yumi Ishikawa Japan
Jung Hee Kang South Korea
Jonathan R. Davey Australia
Ulrich Becher Germany
Shota Tanaka Japan
Leming Fan relative to Wenhui Ding China Wenhui Ding's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leming Fan

Since Specialization
Citations

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

Fields of papers citing papers by Leming Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leming Fan, 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 Leming Fan Line = papers co-authored together Leming Fan 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 200558
2 200952
3 200631
4 200629
5 200527
6 200723
7 200423
8 200821
9 201018
10 199916
11 200515
12 200714
13 200713
14 200811
15
[Study on the association of ABCA1 gene common variants with the risk of coronary atherosclerotic heart disease].
200511
16 200511
17 20179
18
Inhibitory effects of praeruptorin C on cattle aortic smooth muscle cell proliferation.
20027
19
Association between apolipoprotein A5 - 1131T > C polymorphism and susceptibility of coronary artery disease in Chinese.
20057
20 20087

About Leming Fan

Leming Fan is a scholar working on Molecular Biology, Surgery, Physiology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 410 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Cholesterol and Lipid Metabolism (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Ultrasound and Cavitation Phenomena (2 papers), Microbial Inactivation Methods (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Ultrasound and Hyperthermia Applications (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (68 citations), Cardiology and Cardiovascular Medicine (84 citations), Surgery (74 citations), Immunology (35 citations) and Molecular Biology (117 citations). Leming Fan has collaborated with scholars based in China, United Kingdom and Russia. Frequent co-authors include Yong Ji, Qi Chen, Ping Sun, Dongping Guo, Albert Ferro, Qi Chen, Yong Ji, Yuehua Li, Limin Zhou and Guo‐Qing Zhu. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Atherosclerosis, Clinical Rheumatology, Biochemical and Biophysical Research Communications and Journal of Nanoscience and Nanotechnology.

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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