Jun Fan

5.5k citations
78 papers · 2.0k · h-index 21

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Mitochondrial Function and Pathology
    • Metabolism, Diabetes, and Cancer
    • ATP Synthase and ATPases Research
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 14
    • Metabolism, Diabetes, and Cancer 6
    • Mitochondrial Function and Pathology 5
    • ATP Synthase and ATPases Research 5
    • Cancer, Hypoxia, and Metabolism 25

Jun Fan

74 papers receiving 2.0k citations

Peers

Jun Fan
Comparison fields: 5 of 132
  • Cancer Research 837
  • Molecular Biology 1.1k
  • Biochemistry 104
  • Oncology 263
  • Health, Toxicology and Mutagenesis 128
Replace Yiwen Liu with:
Yiwen Liu China
Xiaoping He China
Jonathan G. Moggs United Kingdom
Sabrina Angelini Italy
Takahiro Ueda Japan
Binghua Li China
Qiming Zhou China
Stephen O. Brennan New Zealand
Yun Yang China
Furong Li China
Jun Fan relative to Yiwen Liu China Yiwen Liu's profile →
Citations per field
00.5×3.2×
Yiwen Liu · 1×
Citations per year

Countries citing papers authored by Jun Fan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011262
2 2017201
3 2011188
4 202088
5 201981
6 201462
7 202058
8 201957
9 201556
10 202052
11 201451
12 202050
13 201650
14 200848
15 201442
16 202137
17 201535
18 201832
19 202228
20 202225

About Jun Fan

Jun Fan is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Immunology, having authored 78 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (25 papers), RNA modifications and cancer (14 papers), Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Mitochondrial Function and Pathology (5 papers), ATP Synthase and ATPases Research (5 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Cancer Research (837 citations), Molecular Biology (1.1k citations), Biochemistry (104 citations), Oncology (263 citations) and Health, Toxicology and Mutagenesis (128 citations). Jun Fan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fadlo R. Khuri, Shui‐Hong Zhou, Sumin Kang, Titus J. Boggon, Tae‐Wook Chung, Jianxin Xie, Jing Chen, Sagar Lonial, Taro Hitosugi and Qingyuan Ge. Their work appears in journals such as Oncogene, Frontiers in Oncology, OncoTargets and Therapy, Journal of Biological Chemistry and Annals of Oncology.

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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