Kejun Li

787 citations
21 papers · 609 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • RNA modifications and cancer 4
    • Circular RNAs in diseases 3
    • Extracellular vesicles in disease 2
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 4

Kejun Li

19 papers receiving 600 citations

Peers

Kejun Li
Comparison fields: 5 of 72
  • Cancer Research 344
  • Virology 38
  • Molecular Biology 387
  • Immunology 76
  • Oncology 89
Replace Anne L’Hernault with:
Anne L’Hernault United Kingdom
Angela Hadjipanayis United States
John Karijolich United States
Mi Li China
Sam H. Whiting United States
Tsubasa Munakata Japan
Meir Shamay United States
Eynat Tabor Israel
Mark A. Samols United States
Kejun Li relative to Anne L’Hernault United Kingdom Anne L’Hernault's profile →
Citations per field
00.5×2.7×
Anne L’Hernault · 1×
Citations per year

Countries citing papers authored by Kejun Li

Since Specialization
Citations

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

Fields of papers citing papers by Kejun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012229
2 200354
3 200852
4 201344
5 202041
6 200528
7 202025
8 202021
9 200719
10 202218
11 201717
12 202116
13
Laparoscopy and laparoscopic ultrasonography in judging the resectability of pancreatic head cancer.
200315
14 202111
15 20068
16 20044
17 20243
18 20223
19 20231
20 20250

About Kejun Li

Kejun Li is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Virology, having authored 21 papers that have together received 609 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), HIV Research and Treatment (3 papers), Circular RNAs in diseases (3 papers), Immune Cell Function and Interaction (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (344 citations), Virology (38 citations), Molecular Biology (387 citations), Immunology (76 citations) and Oncology (89 citations). Kejun Li has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Guang Tan, Hongjiang Wang, Haifeng Luo, Lei Dong, Zhongyu Wang, Lei Cheng, Henrik Garoff, Michael Wallin, Xiangliang Zhang and Gaojie Liu. Their work appears in journals such as Journal of Virology, BMC Cancer, Gene, Journal of Cellular Biochemistry and Annals of the Rheumatic Diseases.

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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