Yunn‐Yi Chen
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
-
- Breast Lesions and Carcinomas
Papers in
-
- Breast Cancer Treatment Studies 20
- Cancer Genomics and Diagnostics 9
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- Breast Lesions and Carcinomas 20
- Co-authors
- Gregor Krings (22 shared papers)Joseph T. Rabban (6 shared papers)Stuart J. Schnitt (6 shared papers)Gregory R. Bean (10 shared papers)Donald A. Antonioli (1 shared paper)Helen H. Wang (1 shared paper)Robert D. Odze (1 shared paper)Patrick L. Fitzgibbons (3 shared papers)
- Journals
- Modern Pathology (13 papers)The American Journal of Surgical Pathology (6 papers)Human Pathology (5 papers)Journal of Clinical Oncology (4 papers)Archives of Pathology & Laboratory Medicine (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Yunn‐Yi Chen
58 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 646
- Pathology and Forensic Medicine 622
- Dermatology 256
- Immunology and Allergy 151
- Oncology 651
Countries citing papers authored by Yunn‐Yi Chen
This map shows the geographic impact of Yunn‐Yi 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 Yunn‐Yi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunn‐Yi Chen more than expected).
Fields of papers citing papers by Yunn‐Yi Chen
This network shows the impact of papers produced by Yunn‐Yi 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 Yunn‐Yi Chen. The network helps show where Yunn‐Yi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunn‐Yi 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
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 222 | |
| 2 | 2007 | 194 | |
| 3 | 2014 | 169 | |
| 4 | 2001 | 150 | |
| 5 | 2013 | 140 | |
| 6 | 2009 | 99 | |
| 7 | 2009 | 98 | |
| 8 | 2003 | 88 | |
| 9 | 2016 | 79 | |
| 10 | 2011 | 79 | |
| 11 | 2014 | 73 | |
| 12 | 2016 | 70 | |
| 13 | 2021 | 65 | |
| 14 | 2005 | 62 | |
| 15 | 2018 | 62 | |
| 16 | 2017 | 62 | |
| 17 | 2005 | 60 | |
| 18 | 2016 | 59 | |
| 19 | 2017 | 58 | |
| 20 | 2021 | 48 |
About Yunn‐Yi Chen
Yunn‐Yi Chen is a scholar working on Cancer Research, Pathology and Forensic Medicine, Surgery, Dermatology and Oncology, having authored 58 papers that have together received 2.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (20 papers), Breast Lesions and Carcinomas (20 papers), Cancer and Skin Lesions (16 papers), Salivary Gland Tumors Diagnosis and Treatment (12 papers), Cancer Genomics and Diagnostics (9 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Ear and Head Tumors (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Cancer Research (646 citations), Pathology and Forensic Medicine (622 citations), Dermatology (256 citations), Immunology and Allergy (151 citations) and Oncology (651 citations). Yunn‐Yi Chen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Gregor Krings, Joseph T. Rabban, Stuart J. Schnitt, Gregory R. Bean, Donald A. Antonioli, Helen H. Wang, Robert D. Odze, Patrick L. Fitzgibbons, Jonathan N. Glickman and Karen Chew. Their work appears in journals such as Modern Pathology, The American Journal of Surgical Pathology, Human Pathology, Journal of Clinical Oncology and Archives of Pathology & Laboratory 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.