Yunn‐Yi Chen
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
-
- Breast Lesions and Carcinomas
Papers in
-
- Breast Cancer Treatment Studies 24
- Cancer Genomics and Diagnostics 9
-
- Breast Lesions and Carcinomas 25
- Co-authors
- Gregor Krings (23 shared papers)Joseph T. Rabban (6 shared papers)Stuart J. Schnitt (7 shared papers)Helen H. Wang (1 shared paper)Jonathan N. Glickman (1 shared paper)Patrick L. Fitzgibbons (3 shared papers)Donald A. Antonioli (1 shared paper)Robert D. Odze (1 shared paper)
- Journals
- Modern Pathology (13 papers)The American Journal of Surgical Pathology (6 papers)Human Pathology (5 papers)Journal of Clinical Oncology (4 papers)Cancer Research (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Yunn‐Yi Chen
60 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 94
- Cancer Research 729
- Pathology and Forensic Medicine 699
- Dermatology 302
- Immunology and Allergy 158
- Oncology 689
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 234 | |
| 2 | 2007 | 201 | |
| 3 | 2014 | 176 | |
| 4 | 2001 | 169 | |
| 5 | 2013 | 141 | |
| 6 | 2009 | 118 | |
| 7 | 2009 | 110 | |
| 8 | 2003 | 90 | |
| 9 | 2016 | 86 | |
| 10 | 2011 | 82 | |
| 11 | 2005 | 78 | |
| 12 | 2016 | 74 | |
| 13 | 2014 | 74 | |
| 14 | 2005 | 71 | |
| 15 | 2021 | 65 | |
| 16 | 2017 | 64 | |
| 17 | 2018 | 63 | |
| 18 | 2017 | 61 | |
| 19 | 2016 | 60 | |
| 20 | 2013 | 50 |
About Yunn‐Yi Chen
Yunn‐Yi Chen is a scholar working on Cancer Research, Pathology and Forensic Medicine, Dermatology, Oncology and Surgery, having authored 63 papers that have together received 2.5k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (25 papers), Breast Cancer Treatment Studies (24 papers), Cancer and Skin Lesions (18 papers), Salivary Gland Tumors Diagnosis and Treatment (13 papers), Cancer Genomics and Diagnostics (9 papers), HER2/EGFR in Cancer Research (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Ear and Head Tumors (3 papers). The work is most often cited by research in Cancer Research (729 citations), Pathology and Forensic Medicine (699 citations), Dermatology (302 citations), Immunology and Allergy (158 citations) and Oncology (689 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, Helen H. Wang, Jonathan N. Glickman, Patrick L. Fitzgibbons, Donald A. Antonioli, Robert D. Odze, Gregory R. Bean and Brian Lee. Their work appears in journals such as Modern Pathology, The American Journal of Surgical Pathology, Human Pathology, Journal of Clinical Oncology and Cancer Research.
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.