Chen Chu

18.9k citations
68 papers · 2.0k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Analytical Chemistry and Sensors

Papers in

    • Machine Learning in Bioinformatics 5
    • Bioinformatics and Genomic Networks 5
    • Bone Metabolism and Diseases 3
    • MicroRNA in disease regulation 4

Chen Chu

63 papers receiving 2.0k citations

Peers

Chen Chu
Comparison fields: 5 of 153
  • Cancer Research 240
  • Bioengineering 87
  • Molecular Biology 731
  • Biomaterials 104
  • Reproductive Medicine 61
Replace Mingyu Chen with:
Mingyu Chen China
Tengfei Liu China
Chien‐Hsing Lu Taiwan
Yuan Qu China
Shili Xu United States
Siying Wang China
Yuxiang Chen China
Xiaofeng Chen China
Yingying Wei China
Xinping Yang China
Chen Chu relative to Mingyu Chen China Mingyu Chen's profile →
Citations per field
00.5×2.9×
Mingyu Chen · 1×
Citations per year

Countries citing papers authored by Chen Chu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016157
2 2019143
3 2011122
4 2022116
5 2021103
6 201579
7 201578
8 200477
9 201675
10 201171
11
Overnight urinary isoflavone excretion in a population of women living in the United States, and its relationship to isoflavone intake.
200266
12 201962
13 202358
14 202154
15 201653
16 201538
17 201438
18 201337
19 202135
20 202033

About Chen Chu

Chen Chu is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health and Oncology, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Machine Learning in Bioinformatics (5 papers), Bioinformatics and Genomic Networks (5 papers), MicroRNA in disease regulation (4 papers), Sperm and Testicular Function (4 papers), Reproductive Biology and Fertility (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Cancer Research (240 citations), Bioengineering (87 citations), Molecular Biology (731 citations), Biomaterials (104 citations) and Reproductive Medicine (61 citations). Chen Chu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lei Chen, Xiangyin Kong, Tao Huang, Hongyan Zhang, Yu‐Dong Cai, Piotr Siciński, Shuguo Yu, Zhen Wang, Xuelong Li and Shuyue Hu. Their work appears in journals such as PLoS ONE, Nature Communications, Biomedicines, Combinatorial Chemistry & High Throughput Screening and Cell Cycle.

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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