Kun Li

3.2k citations
126 papers · 2.2k · 1 hit paper · h-index 26

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Microbial Metabolic Engineering and Bioproduction
    • Enzyme Catalysis and Immobilization
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • RNA modifications and cancer 12
    • RNA Research and Splicing 11
    • Microbial Metabolic Engineering and Bioproduction 10
    • Circular RNAs in diseases 9
    • Cancer-related molecular mechanisms research 22
    • MicroRNA in disease regulation 10

Kun Li

118 papers receiving 2.2k citations

Hit Papers

lncRNA NEAT1: Key player in neurodegenerative diseases 2023 · 82 citations
820+1+2Years since publication255075

Peers

Kun Li
Comparison fields: 5 of 124
  • Cancer Research 454
  • Molecular Biology 1.4k
  • Biomedical Engineering 599
  • Radiology, Nuclear Medicine and Imaging 238
  • Immunology 158
Replace Win‐Ping Deng with:
Win‐Ping Deng Taiwan
Zhongqiu Wang China
Wiktoria Maria Suchorska Poland
Xiaoyan Xie China
Sonja Klebe Australia
Lan Cao China
Xiaoxuan Xu China
Yanli Tan China
Olivier Hérault France
Kun Li relative to Win‐Ping Deng Taiwan Win‐Ping Deng's profile →
Citations per field
00.5×4.1×
Win‐Ping Deng · 1×
Citations per year

Countries citing papers authored by Kun Li

Since Specialization
Citations

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

Fields of papers citing papers by Kun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014131
2 2014117
3 201394
4 201990
5
lncRNA NEAT1: Key player in neurodegenerative diseases
Hit paper breakdown →
202382
6 202172
7 201671
8 202164
9 201462
10 202152
11 201450
12 201448
13 200947
14 201945
15 201339
16 201034
17 202132
18 202031
19 202228
20 201928

About Kun Li

Kun Li is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Oncology and Epidemiology, having authored 126 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (22 papers), RNA modifications and cancer (12 papers), RNA Research and Splicing (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (9 papers), Laser Applications in Dentistry and Medicine (9 papers) and Biofuel production and bioconversion (8 papers). The work is most often cited by research in Cancer Research (454 citations), Molecular Biology (1.4k citations), Biomedical Engineering (599 citations), Radiology, Nuclear Medicine and Imaging (238 citations) and Immunology (158 citations). Kun Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ziqiang Wang, Ping Xu, Cuiqing Ma, Chao Gao, Lixiang Li, Lijie Zhang, Yu Wang, Chao Chen, Fei Tao and Youqiang Xu. Their work appears in journals such as Frontiers in Immunology, Frontiers in Oncology, Scientific Reports, Therapeutic Advances in Medical Oncology and Cellular Signalling.

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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