Min Pan

2.4k citations
108 papers · 1.9k · 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 1.9k citations

Peers

Min Pan
Comparison fields: 5 of 137
  • Cancer Research 379
  • Molecular Biology 778
  • Cardiology and Cardiovascular Medicine 222
  • Nephrology 72
  • Process Chemistry and Technology 22
Replace Sayuri Suzuki with:
Sayuri Suzuki Japan
Nathaniel E. David United States
Yan Yang China
Congcong Zhang China
Yi‐Chen Li Taiwan
Xiaohui Bai China
Ming Yao China
Xue Liu China
Xujun Wang China
Suzanne G. Eskin United States
Min Pan relative to Sayuri Suzuki Japan Sayuri Suzuki's profile →
Citations per field
00.5×
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 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016327
2 2010111
3 2004102
4 200767
5 200751
6
M1 macrophages promote aortic valve calcification mediated by microRNA-214/TWIST1 pathway in valvular interstitial cells.
201646
7 202245
8 201845
9 201442
10 201839
11 202033
12 200833
13 201030
14 200730
15 200829
16 201629
17 202026
18 201726
19 202023
20 201322

About Min Pan

Min Pan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Biomedical Engineering and Surgery, having authored 108 papers that have together received 1.9k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cancer-related molecular mechanisms research (5 papers), Renal Diseases and Glomerulopathies (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Ultrasound and Hyperthermia Applications (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Cancer Research (379 citations), Molecular Biology (778 citations), Cardiology and Cardiovascular Medicine (222 citations), Nephrology (72 citations) and Process Chemistry and Technology (22 citations). Min Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yamin Su, Hai-Hua Geng, Xingxing Cai, Xiaoping Ji, Rui Li, Jie Xiao, Nitin S. Baliga, Jianhua Zhu, Junfeng Zhang and Chak‐Tong Au. Their work appears in journals such as PLoS ONE, Medicine, BMC Cardiovascular Disorders, Coronary Artery Disease and Journal of Neural Engineering.

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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