Chen Chu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Bioengineering top 5%
- 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
- Co-authors
- Lei Chen (11 shared papers)Xiangyin Kong (10 shared papers)Tao Huang (10 shared papers)Hongyan Zhang (3 shared papers)Yu‐Dong Cai (8 shared papers)Piotr Siciński (4 shared papers)Shuguo Yu (1 shared paper)Zhen Wang (2 shared papers)
- Journals
- PLoS ONE (7 papers)Nature Communications (2 papers)Biomedicines (2 papers)Combinatorial Chemistry & High Throughput Screening (2 papers)Cell Cycle (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chen Chu
63 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 153
- Cancer Research 240
- Bioengineering 87
- Molecular Biology 731
- Biomaterials 104
- Reproductive Medicine 61
Countries citing papers authored by Chen Chu
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
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.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 157 | |
| 2 | 2019 | 143 | |
| 3 | 2011 | 122 | |
| 4 | 2022 | 116 | |
| 5 | 2021 | 103 | |
| 6 | 2015 | 79 | |
| 7 | 2015 | 78 | |
| 8 | 2004 | 77 | |
| 9 | 2016 | 75 | |
| 10 | 2011 | 71 | |
| 11 | Overnight urinary isoflavone excretion in a population of women living in the United States, and its relationship to isoflavone intake. | 2002 | 66 |
| 12 | 2019 | 62 | |
| 13 | 2023 | 58 | |
| 14 | 2021 | 54 | |
| 15 | 2016 | 53 | |
| 16 | 2015 | 38 | |
| 17 | 2014 | 38 | |
| 18 | 2013 | 37 | |
| 19 | 2021 | 35 | |
| 20 | 2020 | 33 |
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.