Min Pan

2.4k citations
107 papers · 1.9k indexed · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer

Papers in

Min Pan

105 papers receiving 1.8k citations

Peers

Min Pan
Comparison fields: 5 of 142
  • Cancer Research 447
  • Molecular Biology 862
  • Cardiology and Cardiovascular Medicine 284
  • Nephrology 86
  • Immunology 174
Replace Sayuri Suzuki with:
Sayuri Suzuki Japan
Ming Yao China
Yi‐Chen Li Taiwan
Yan Yang China
Jiang Chang United States
Xujun Wang China
Xue Liu China
Congcong Zhang China
Tao Zeng China
Yuyu Yao China
Min Pan relative to Sayuri Suzuki Japan Sayuri Suzuki's profile →
Citations per field
00.5×3.2×
Sayuri Suzuki · 1×
Citations per year

Countries citing papers authored by Min Pan

Since Specialization
Citations

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

Fields of papers citing papers by Min Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016326
2 2010110
3 2004102
4 200766
5 200751
6
M1 macrophages promote aortic valve calcification mediated by microRNA-214/TWIST1 pathway in valvular interstitial cells.
201645
7 202244
8 201843
9 201441
10 201839
11 200833
12 202031
13 200731
14 201030
15 201629
16 200829
17 201726
18 202024
19 200623
20 202022

About Min Pan

Min Pan is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Nephrology, Immunology and Molecular Biology, having authored 107 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Cancer-related molecular mechanisms research (9 papers), Atherosclerosis and Cardiovascular Diseases (8 papers), Renal Diseases and Glomerulopathies (7 papers), Acute Myocardial Infarction Research (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Atrial Fibrillation Management and Outcomes (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Cancer Research (447 citations), Molecular Biology (862 citations), Cardiology and Cardiovascular Medicine (284 citations), Nephrology (86 citations) and Immunology (174 citations). Min Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hai-Hua Geng, Yamin Su, Xingxing Cai, Xiaoping Ji, Jie Xiao, Rui Li, Nitin S. Baliga, Jianhua Zhu, Chak‐Tong Au and Xinzhen Feng. Their work appears in journals such as BMC Nephrology, Chemical Engineering Journal, Journal of Ethnopharmacology, Journal of Neural Engineering and BMC Cardiovascular Disorders.

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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