Hu Chen

5.6k citations
176 papers · 3.7k · h-index 33

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

    • RNA Research and Splicing 14
    • RNA modifications and cancer 13
    • Ubiquitin and proteasome pathways 10
    • Circular RNAs in diseases 9
    • MicroRNA in disease regulation 17
    • Cancer-related molecular mechanisms research 17

Hu Chen

166 papers receiving 3.6k citations

Peers

Hu Chen
Comparison fields: 5 of 130
  • Cancer Research 953
  • Oncology 939
  • Molecular Biology 2.0k
  • Genetics 220
  • Hepatology 157
Replace You Mie Lee with:
You Mie Lee South Korea
Gaoliang Ouyang China
Emilia Wiecheć Sweden
Bangyan L. Stiles United States
Simó Schwartz Spain
Peng Hou China
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Chunhong Yan United States
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Hu Chen relative to You Mie Lee South Korea You Mie Lee's profile →
Citations per field
00.5×1.6×
You Mie Lee · 1×
Citations per year

Countries citing papers authored by Hu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007465
2 2011150
3 2008125
4 201390
5 201784
6 201473
7 201271
8 201267
9 201567
10 201360
11 201457
12 201657
13 202055
14 201454
15 201752
16 202052
17
Genome-wide analysis of histone H3 lysine 4 trimethylation by ChIP-chip in peripheral blood mononuclear cells of systemic lupus erythematosus patients.
201049
18 202048
19 201447
20 201646

About Hu Chen

Hu Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Organic Chemistry and Genetics, having authored 176 papers that have together received 3.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (17 papers), Cancer-related molecular mechanisms research (17 papers), RNA Research and Splicing (14 papers), RNA modifications and cancer (13 papers), Mesenchymal stem cell research (13 papers), Ubiquitin and proteasome pathways (10 papers), Circular RNAs in diseases (9 papers) and Autophagy in Disease and Therapy (8 papers). The work is most often cited by research in Cancer Research (953 citations), Oncology (939 citations), Molecular Biology (2.0k citations), Genetics (220 citations) and Hepatology (157 citations). Hu Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jinjun Li, Jianren Gu, Shengyong Yin, Haiyang Xie, Shusen Zheng, Chao Ge, Guo‐Ping Jiang, Ming Yao, Mingxia Yan and Yaosheng Chen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Death and Disease, PLoS ONE, Scientific Reports and OncoTargets and Therapy.

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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