Wei Yang
- Cancer Research top 0.1%
- Breast Cancer Treatment Studies 121
- Pathology and Forensic Medicine top 0.1%
- Breast Lesions and Carcinomas 112
- Oncology top 0.5%
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- Medical Imaging Techniques and Applications 42
- MRI in cancer diagnosis 36
- Radiomics and Machine Learning in Medical Imaging 33
- Dermatology top 0.5%
- Cancer and Skin Lesions 24
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- Digital Radiography and Breast Imaging 26
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- AI in cancer detection 26
- Co-authors
- Savitri KrishnamurthyHenry M. KuererConstantine MetreweliKelly K. HuntGabriel N. HortobágyiC. MetreweliGary M. TseBaşak E. Doğan
- Journals
- American Journal of Roentgenology (46 papers)Journal of Ultrasound in Medicine (12 papers)Journal of Clinical Oncology (12 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Wei Yang
296 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cancer Research 4.9k
- Pathology and Forensic Medicine 3.9k
- Oncology 3.5k
- Radiology, Nuclear Medicine and Imaging 2.9k
- Dermatology 780
Countries citing papers authored by Wei Yang
This map shows the geographic impact of Wei Yang'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 Wei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yang more than expected).
Fields of papers citing papers by Wei Yang
This network shows the impact of papers produced by Wei Yang. 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 Wei Yang. The network helps show where Wei Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Yang, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2020 | 6 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 5 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 47 | |
| 11 | 2013 | 127 | |
| 12 | 2010 | 331 | |
| 13 | 2009 | 71 | |
| 14 | 2007 | 217 | |
| 15 | 2006 | 40 | |
| 16 | Diffraction enhanced imaging of breast tissue | 2005 | 0 |
| 17 | Phyllodes tumor of the breast | 2003 | 6 |
| 18 | Case report: Antenatal sonographic diagnosis of meconium peritonitis and subsequent evolving meconium pseudocyst formation without peritoneal calcification | 1997 | 2 |
| 19 | Mammographic, sonographic and histopathological correlation of benign axillary masses | 1997 | 2 |
| 20 | The use of sonography in differentiating cervical lymphomatous lymph nodes from cervical metastatic lymph nodes | 1996 | 4 |
About Wei Yang
Wei Yang is a scholar working on Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 308 papers that have together received 10.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (121 papers), Breast Lesions and Carcinomas (112 papers), Medical Imaging Techniques and Applications (42 papers), MRI in cancer diagnosis (36 papers), Radiomics and Machine Learning in Medical Imaging (33 papers), Digital Radiography and Breast Imaging (26 papers), AI in cancer detection (26 papers) and Cancer and Skin Lesions (24 papers). The work is most often cited by research in Cancer Research (4.9k citations), Pathology and Forensic Medicine (3.9k citations) and Oncology (3.5k citations). Wei Yang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Savitri Krishnamurthy, Henry M. Kuerer, Constantine Metreweli, Kelly K. Hunt, Gabriel N. Hortobágyi, C. Metreweli, Gary M. Tse, Başak E. Doğan, Vicente Valero and Beatriz E. Adrada. Their work appears in journals such as American Journal of Roentgenology, Journal of Ultrasound in Medicine, Journal of Clinical Oncology, Academic Radiology and Clinical Radiology.
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.