Jun Pan

896 citations
46 papers · 593 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 9
    • RNA Research and Splicing 6
    • Circular RNAs in diseases 5
    • Plant Virus Research Studies 4

Jun Pan

43 papers receiving 588 citations

Peers

Jun Pan
Comparison fields: 5 of 90
  • Cancer Research 98
  • Molecular Biology 330
  • Plant Science 162
  • Microbiology 3
  • Immunology 71
Replace Xinyang Li with:
Xinyang Li China
Guoli Li China
Yanwei Liu China
Andrea Soares‐Costa Brazil
Christoph Schwarz Germany
Tingting Xie China
Yajuan Fu China
Yang Xue China
Jun Pan relative to Xinyang Li China Xinyang Li's profile →
Citations per field
00.5×1.5×2.3×
Xinyang Li · 1×
Citations per year

Countries citing papers authored by Jun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun 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 Jun Pan Line = papers co-authored together Jun 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 202359
2 201059
3 200543
4 201936
5 202133
6 202132
7 202132
8 202130
9 200830
10 202027
11 202021
12 202219
13 202216
14 202015
15 202114
16 202312
17 202111
18 20229
19 20219
20 20209

About Jun Pan

Jun Pan is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Immunology, having authored 46 papers that have together received 593 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (9 papers), RNA Research and Splicing (6 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Viral Infections and Immunology Research (5 papers), Plant Virus Research Studies (4 papers), Virus-based gene therapy research (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (98 citations), Molecular Biology (330 citations), Plant Science (162 citations), Microbiology (3 citations) and Immunology (71 citations). Jun Pan has collaborated with scholars based in China, India and Taiwan. Frequent co-authors include Chengliang Gong, Min Zhu, Xiaolong Hu, Guangli Cao, Renyu Xue, Zi Liang, Yunshan Zhang, San Zhou, Zhihong Yang and Haruo Sekizaki. Their work appears in journals such as International Journal of Biological Macromolecules, Aquaculture, Journal of Agricultural and Food Chemistry, Frontiers in Immunology and Applied Microbiology and Biotechnology.

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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