Run Fan

978 citations
25 papers · 588 · h-index 13

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Colorectal Cancer Treatments and Studies

Papers in

    • Shoulder Injury and Treatment 6
    • Cardiovascular Syncope and Autonomic Disorders 3
    • Cancer Immunotherapy and Biomarkers 5
    • CAR-T cell therapy research 3

Run Fan

23 papers receiving 581 citations

Peers

Run Fan
Comparison fields: 5 of 73
  • Oncology 265
  • Health Informatics 7
  • Pulmonary and Respiratory Medicine 123
  • Epidemiology 126
  • Immunology 76
Replace Yi‐Jun Kim with:
Yi‐Jun Kim South Korea
Carrie Ye Canada
Akinari Sekine Japan
Jie Peng China
Tom Kurzawinski United Kingdom
Ayako Suzuki Japan
Xianchun Meng China
Elizabeth E. Frauenhoffer United States
Run Fan relative to Yi‐Jun Kim South Korea Yi‐Jun Kim's profile →
Citations per field
00.5×2.7×
Yi‐Jun Kim · 1×
Citations per year

Countries citing papers authored by Run Fan

Since Specialization
Citations

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

Fields of papers citing papers by Run Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021152
2 201987
3 202052
4 202044
5 201837
6 201929
7 201821
8 201919
9 201919
10 201919
11 201818
12 201818
13 202414
14 202011
15 202311
16 201910
17 20218
18 20218
19 20186
20 20232

About Run Fan

Run Fan is a scholar working on Surgery, Oncology, Epidemiology, Genetics and Molecular Biology, having authored 25 papers that have together received 588 indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Shoulder and Clavicle Injuries (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Breast Cancer Treatment Studies (3 papers), CAR-T cell therapy research (3 papers), BRCA gene mutations in cancer (3 papers) and Cardiovascular Syncope and Autonomic Disorders (3 papers). The work is most often cited by research in Oncology (265 citations), Health Informatics (7 citations), Pulmonary and Respiratory Medicine (123 citations), Epidemiology (126 citations) and Immunology (76 citations). Run Fan has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Fei Ye, Douglas B. Johnson, Elizabeth J. Davis, Gregory D. Ayers, Laurence D. Higgins, Nitin B. Jain, John E. Kuhn, Henry T. Quach, Anna K. Dewan and Kristin Kathleen Ancell. Their work appears in journals such as JAMA Oncology, Orthopaedic Journal of Sports Medicine, Journal of Shoulder and Elbow Surgery, Cancer and JAMA Network Open.

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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