Jun Pan

942 citations
44 papers · 645 · 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 8
    • RNA Research and Splicing 6
    • Circular RNAs in diseases 5
    • RNA Interference and Gene Delivery 3
    • Plant Virus Research Studies 4

Jun Pan

44 papers receiving 640 citations

Peers

Jun Pan
Comparison fields: 5 of 89
  • Cancer Research 102
  • Molecular Biology 334
  • Plant Science 158
  • Immunology 75
  • Microbiology 2
Replace Deyu Huang with:
Deyu Huang China
Guoli Li China
Yanwei Liu China
Christoph Schwarz Germany
Monika Maciąg-Dorszyńska Poland
Yajuan Fu China
Shiping Yang China
Jixiang Chen China
Andrea Soares‐Costa Brazil
Jun Pan relative to Deyu Huang China Deyu Huang's profile →
Citations per field
00.5×
Deyu Huang · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202370
2 201062
3 200544
4 201938
5 202135
6 202134
7 202133
8 202132
9 200830
10 202029
11 202022
12 202222
13 202217
14 202117
15 202017
16 202112
17 202312
18 202110
19 202210
20 20229

About Jun Pan

Jun Pan is a scholar working on Molecular Biology, Plant Science, Cancer Research, Genetics and Immunology, having authored 44 papers that have together received 645 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 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), Cancer-related molecular mechanisms research (4 papers), Plant Virus Research Studies (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cancer Research (102 citations), Molecular Biology (334 citations), Plant Science (158 citations), Immunology (75 citations) and Microbiology (2 citations). Jun Pan has collaborated with scholars based in China, India and Belgium. 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, Applied Microbiology and Biotechnology, Insect Biochemistry and Molecular Biology and Frontiers in Immunology.

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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