Kun Chen

1.9k citations
59 papers · 1.5k indexed · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer

Papers in

    • MicroRNA in disease regulation 10
    • Cancer-related molecular mechanisms research 7
    • Hepatitis C virus research 5

Kun Chen

57 papers receiving 1.5k citations

Peers

Kun Chen
Comparison fields: 5 of 115
  • Cancer Research 458
  • Molecular Biology 798
  • Pathology and Forensic Medicine 188
  • Oncology 245
  • Immunology 176
Replace Kim E. Creek with:
Kim E. Creek United States
Ern Yu Tan Singapore
Miki Mori Japan
Karishma Patel United States
Peixin Liu China
Yolanda Fernández Spain
Jérémy Lambert United States
Yiyin Zhang China
Jean A. Quinn United Kingdom
Mamoun Ahram Jordan
Kun Chen relative to Kim E. Creek United States Kim E. Creek's profile →
Citations per field
00.5×4.0×
Kim E. Creek · 1×
Citations per year

Countries citing papers authored by Kun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009176
2 2010135
3 2012129
4 2010118
5 201297
6 201378
7 202173
8 201866
9 201262
10 202057
11 201855
12 201338
13 201929
14 202327
15 201725
16 201424
17 201823
18 201221
19 201019
20 201617

About Kun Chen

Kun Chen is a scholar working on Cancer Research, Hepatology, Dermatology, Rehabilitation and Molecular Biology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (7 papers), Hepatitis B Virus Studies (5 papers), RNA modifications and cancer (5 papers), Hepatitis C virus research (5 papers), RNA Research and Splicing (4 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Cancer Research (458 citations), Molecular Biology (798 citations), Pathology and Forensic Medicine (188 citations), Oncology (245 citations) and Immunology (176 citations). Kun Chen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jun Li, Libing Song, Chunping Yu, Mingjuan Jin, Chunfeng Qu, Jìng Guo, Mingwu Zhang, Mengya Zang, Haiqing Zheng and Weihua Jia. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Clinical Cancer Research, Journal of Cancer and Genetics Research.

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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