Chang-ye Chen
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Ovarian cancer diagnosis and treatment
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 1
- FOXO transcription factor regulation 1
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Yukun Li (3 shared papers)Guifang Luo (3 shared papers)Jiao Xiao (1 shared paper)Daichao Wu (1 shared paper)Yan Li (1 shared paper)Yan Ma (1 shared paper)Ziyu Chen (2 shared papers)Juan Wang (2 shared papers)
- Journals
- Medicine (2 papers)Life Sciences (2 papers)Cancer Cell International (1 paper)International Journal of Biological Sciences (1 paper)Bioscience Reports (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chang-ye Chen
11 papers receiving 280 citations
Peers
Comparison fields: 5 of 69
- Reproductive Medicine 100
- Health Informatics 14
- Cancer Research 27
- Public Health, Environmental and Occupational Health 46
- Immunology 30
Countries citing papers authored by Chang-ye Chen
This map shows the geographic impact of Chang-ye 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 Chang-ye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang-ye Chen more than expected).
Fields of papers citing papers by Chang-ye Chen
This network shows the impact of papers produced by Chang-ye 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 Chang-ye Chen. The network helps show where Chang-ye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang-ye Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2022 | 42 | |
| 3 | 2024 | 26 | |
| 4 | 2020 | 21 | |
| 5 | 2019 | 16 | |
| 6 | 2018 | 11 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2018 | 1 |
About Chang-ye Chen
Chang-ye Chen is a scholar working on Molecular Biology, Health Informatics, Public Health, Environmental and Occupational Health, Safety Research and Cancer Research, having authored 11 papers that have together received 290 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Cancer-related molecular mechanisms research (2 papers), Biomarkers in Disease Mechanisms (1 paper), Academic integrity and plagiarism (1 paper), Ubiquitin and proteasome pathways (1 paper), FOXO transcription factor regulation (1 paper) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Reproductive Medicine (100 citations), Health Informatics (14 citations), Cancer Research (27 citations), Public Health, Environmental and Occupational Health (46 citations) and Immunology (30 citations). Chang-ye Chen has collaborated with scholars based in China and United States. Frequent co-authors include Yukun Li, Guifang Luo, Jiao Xiao, Daichao Wu, Yan Li, Yan Ma, Yukun Li, Ziyu Chen, Juan Wang and Xuhong Chen. Their work appears in journals such as Medicine, Life Sciences, Cancer Cell International, International Journal of Biological Sciences and Bioscience Reports.
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.