Yan Pan

1.2k citations
46 papers · 942 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Ion channel regulation and function
    • Muscle Physiology and Disorders

Papers in

    • Kawasaki Disease and Coronary Complications 11
    • Helicobacter pylori-related gastroenterology studies 2

Yan Pan

41 papers receiving 933 citations

Peers

Yan Pan
Comparison fields: 5 of 92
  • Cancer Research 347
  • Molecular Biology 482
  • Oncology 146
  • Cell Biology 67
  • Pulmonary and Respiratory Medicine 120
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Yan Pan relative to Mitsuhiko Abe Japan Mitsuhiko Abe's profile →
Citations per field
00.5×1.5×
Mitsuhiko Abe · 1×
Citations per year

Countries citing papers authored by Yan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010200
2 2016116
3 201167
4 200364
5 202051
6 201545
7 201739
8 201837
9 201636
10 200033
11 201733
12 201628
13 201526
14 201424
15 199616
16 202315
17 201313
18 202313
19 19978
20 20197

About Yan Pan

Yan Pan is a scholar working on Surgery, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 942 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (11 papers), Cancer-related molecular mechanisms research (5 papers), Microtubule and mitosis dynamics (3 papers), MicroRNA in disease regulation (3 papers), Lung Cancer Treatments and Mutations (3 papers), Coronary Artery Anomalies (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Cancer Research (347 citations), Molecular Biology (482 citations), Oncology (146 citations), Cell Biology (67 citations) and Pulmonary and Respiratory Medicine (120 citations). Yan Pan has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Longbang Chen, Guanhong Luo, Tao Su, Bin Feng, Daiming Fan, Leilei Tao, Guichun Huang, Haifeng Jin, Kai Li and Gui Ren. Their work appears in journals such as Cellular Physiology and Biochemistry, Dose-Response, Frontiers in Nutrition, International Journal of Molecular Medicine and Phytotherapy Research.

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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