Weiqun Chen

1.9k citations
55 papers · 1.4k · h-index 22

Impact in

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

Papers in

    • Circular RNAs in diseases 7
    • Extracellular vesicles in disease 4
    • RNA Research and Splicing 3
    • MicroRNA in disease regulation 11
    • Cancer-related molecular mechanisms research 8

Weiqun Chen

54 papers receiving 1.4k citations

Peers

Weiqun Chen
Comparison fields: 5 of 116
  • Cancer Research 473
  • Molecular Biology 685
  • Immunology 109
  • Pathology and Forensic Medicine 84
  • Catalysis 36
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Qiang Gong China
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Citations per field
00.5×1.5×2.4×
Dongdong Zheng · 1×
Citations per year

Countries citing papers authored by Weiqun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weiqun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016136
2 2021121
3 202094
4 201971
5 201470
6 201464
7 201562
8 201358
9 201954
10 200651
11 201950
12 202044
13 200943
14 201837
15 202436
16 200633
17 200532
18 202127
19 202124
20 201524

About Weiqun Chen

Weiqun Chen is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Materials Chemistry and Oncology, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers), Catalytic Processes in Materials Science (6 papers), Plant Pathogens and Fungal Diseases (5 papers), Advancements in Solid Oxide Fuel Cells (5 papers), Extracellular vesicles in disease (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (473 citations), Molecular Biology (685 citations), Immunology (109 citations), Pathology and Forensic Medicine (84 citations) and Catalysis (36 citations). Weiqun Chen has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Zhongxin Lu, Shuiyi Liu, Alexandra Navrotsky, Tangwei Wu, Hui Hu, Xiaoyi Li, Yong Ning, Deyong Kong, Hongda Lu and Yong Li. Their work appears in journals such as Plant Disease, Carcinogenesis, International Journal of Medical Sciences, Technology in Cancer Research & Treatment and Oncology Reports.

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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