Jin Yun Chen
Impact in
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
-
- Endometriosis Research and Treatment 2
- Ovarian cancer diagnosis and treatment 1
-
- Uterine Myomas and Treatments 2
- Co-authors
- Sunita R. Setlur (3 shared papers)Katherine W. Muto (1 shared paper)Alison M. Karst (1 shared paper)Daniela M. Dinulescu (1 shared paper)Michelle Hirsch (1 shared paper)Ruth Perets (1 shared paper)Barish B. Poole (1 shared paper)Soongu Kwak (1 shared paper)
- Journals
- Science Advances (2 papers)Cancer Cell (1 paper)Cellular and Molecular Immunology (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)npj Genomic Medicine (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jin Yun Chen
10 papers receiving 647 citations
Jin Yun Chen's Hit Papers
Peers
Comparison fields: 5 of 60
- Reproductive Medicine 287
- Obstetrics and Gynecology 86
- Cancer Research 110
- Oncology 123
- Molecular Biology 267
Countries citing papers authored by Jin Yun Chen
This map shows the geographic impact of Jin Yun 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 Jin Yun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yun Chen more than expected).
Fields of papers citing papers by Jin Yun Chen
This network shows the impact of papers produced by Jin Yun 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 Jin Yun Chen. The network helps show where Jin Yun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Yun 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 | Transformation of the Fallopian Tube Secretory Epithelium Leads to High-Grade Serous Ovarian Cancer in Brca;Tp53;Pten Models Hit paper breakdown → | 2013 | 476 |
| 2 | 2010 | 50 | |
| 3 | 2022 | 38 | |
| 4 | 2020 | 32 | |
| 5 | 2017 | 26 | |
| 6 | 2020 | 14 | |
| 7 | 2012 | 11 | |
| 8 | 2023 | 9 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 3 |
About Jin Yun Chen
Jin Yun Chen is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Genetics, Geriatrics and Gerontology and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 662 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (2 papers), Uterine Myomas and Treatments (2 papers), Genomics and Rare Diseases (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Autophagy in Disease and Therapy (1 paper), RNA modifications and cancer (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Reproductive Medicine (287 citations), Obstetrics and Gynecology (86 citations), Cancer Research (110 citations), Oncology (123 citations) and Molecular Biology (267 citations). Jin Yun Chen has collaborated with scholars based in United States, China and France. Frequent co-authors include Sunita R. Setlur, Katherine W. Muto, Alison M. Karst, Daniela M. Dinulescu, Michelle Hirsch, Ruth Perets, Barish B. Poole, Soongu Kwak, Anders Öhman and Jonathan G. Bijron. Their work appears in journals such as Science Advances, Cancer Cell, Cellular and Molecular Immunology, Cancer Epidemiology Biomarkers & Prevention and npj Genomic Medicine.
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.