Chen Qu

2.3k citations
74 papers · 1.7k · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

    • RNA modifications and cancer 5
    • Circular RNAs in diseases 5
    • MicroRNA in disease regulation 9
    • Cancer-related molecular mechanisms research 7

Chen Qu

72 papers receiving 1.7k citations

Peers

Chen Qu
Comparison fields: 5 of 120
  • Cancer Research 298
  • Oncology 309
  • Immunology 234
  • Molecular Biology 767
  • Hepatology 64
Replace Lin Tang with:
Lin Tang China
Gunbjørg Svineng Norway
Rui Sun China
Shuai He China
Shengnan Jia China
Chang‐Shen Lin Taiwan
Fei Xue China
Jintang Sun China
Katsumi Takada Japan
Fuminori Abe Japan
Chen Qu relative to Lin Tang China Lin Tang's profile →
Citations per field
00.5×1.5×2.1×
Lin Tang · 1×
Citations per year

Countries citing papers authored by Chen Qu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020160
2 2013133
3 2013113
4 201381
5 201676
6 201167
7 201966
8 202057
9 201656
10 202053
11 202050
12 201342
13 201740
14 201138
15 202034
16 201830
17 201330
18 202129
19 201829
20 201528

About Chen Qu

Chen Qu is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Surgery, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Invertebrate Immune Response Mechanisms (8 papers), Cancer-related molecular mechanisms research (7 papers), Aquaculture disease management and microbiota (6 papers), Liver physiology and pathology (5 papers), RNA modifications and cancer (5 papers), Antimicrobial Peptides and Activities (5 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (298 citations), Oncology (309 citations), Immunology (234 citations), Molecular Biology (767 citations) and Hepatology (64 citations). Chen Qu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Hong, Lu He, Zijuan Zhang, Weijia Zhang, Guopei Zheng, Zhimin He, Jiang Yin, Yang Xu, Lingling Wang and Yunqiang Tang. Their work appears in journals such as Fish & Shellfish Immunology, Journal of Cellular and Molecular Medicine, Gene, Scientific Reports and PLoS ONE.

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.

Explore authors with similar magnitude of impact