Chen Chu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Bioengineering top 5%
- Analytical Chemistry and Sensors
Papers in ⓘ
-
- MicroRNA in disease regulation 4
- Co-authors
- Lei Chen (11 shared papers)Xiangyin Kong (10 shared papers)Tao Huang (10 shared papers)Yu‐Dong Cai (8 shared papers)Hongyan Zhang (3 shared papers)Shuguo Yu (1 shared paper)Piotr Siciński (4 shared papers)Miao He (1 shared paper)
- Journals
- PLoS ONE (7 papers)Nature Communications (2 papers)Combinatorial Chemistry & High Throughput Screening (2 papers)Biomedicines (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaUnited StatesMongolia
In The Last Decade
Chen Chu
58 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 152
- Cancer Research 274
- Bioengineering 86
- Molecular Biology 803
- Biomaterials 101
- Pathology and Forensic Medicine 136
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 154 | |
| 2 | 2019 | 139 | |
| 3 | 2011 | 118 | |
| 4 | 2022 | 109 | |
| 5 | 2021 | 93 | |
| 6 | 2015 | 78 | |
| 7 | 2015 | 77 | |
| 8 | 2016 | 73 | |
| 9 | 2004 | 72 | |
| 10 | 2011 | 67 | |
| 11 | Overnight urinary isoflavone excretion in a population of women living in the United States, and its relationship to isoflavone intake. | 2002 | 65 |
| 12 | 2019 | 61 | |
| 13 | 2021 | 52 | |
| 14 | 2016 | 51 | |
| 15 | 2023 | 50 | |
| 16 | 2015 | 37 | |
| 17 | 2013 | 36 | |
| 18 | 2014 | 36 | |
| 19 | 2021 | 33 | |
| 20 | 2020 | 31 |
About Chen Chu
Chen Chu is a scholar working on General Energy, Cancer Research, Microbiology, Molecular Biology and Reproductive Medicine, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (6 papers), Machine Learning in Bioinformatics (5 papers), Reproductive Biology and Fertility (4 papers), MicroRNA in disease regulation (4 papers), Sperm and Testicular Function (4 papers), Bone Metabolism and Diseases (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Cancer Research (274 citations), Bioengineering (86 citations), Molecular Biology (803 citations), Biomaterials (101 citations) and Pathology and Forensic Medicine (136 citations). Chen Chu has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Lei Chen, Xiangyin Kong, Tao Huang, Yu‐Dong Cai, Hongyan Zhang, Shuguo Yu, Piotr Siciński, Miao He, Jing Tang and Qi Xiao. Their work appears in journals such as PLoS ONE, Nature Communications, Combinatorial Chemistry & High Throughput Screening, Biomedicines and International Journal of Molecular Sciences.
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.