Shelley Hwang
- Cancer Research top 2%
- Breast Cancer Treatment Studies 16
- Cancer Genomics and Diagnostics 5
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- Breast Lesions and Carcinomas 11
- Oncology top 5%
- Global Cancer Incidence and Screening 6
- Surgery top 10%
- Breast Implant and Reconstruction 8
- Anesthesiology and Pain Medicine top 10%
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- BRCA gene mutations in cancer 6
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- Radiomics and Machine Learning in Medical Imaging 5
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- AI in cancer detection 4
- Co-authors
- Laura J. EssermanStuart J. SchnittM. Luke MarinovichMonica MorrowJay R. HarrisKimberly J. Van ZeeIrene WapnirJanet K. Horton
- Journals
- New England Journal of Medicine (1 paper)Journal of Clinical Oncology (4 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Shelley Hwang
31 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 852
- Pathology and Forensic Medicine 544
- Oncology 500
- Surgery 510
- Anesthesiology and Pain Medicine 40
Countries citing papers authored by Shelley Hwang
This map shows the geographic impact of Shelley Hwang'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 Shelley Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shelley Hwang more than expected).
Fields of papers citing papers by Shelley Hwang
This network shows the impact of papers produced by Shelley Hwang. 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 Shelley Hwang. The network helps show where Shelley Hwang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shelley Hwang, 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 | 2024 | 3 | |
| 2 | 2023 | 14 | |
| 3 | 2022 | 16 | |
| 4 | 2020 | 2 | |
| 5 | 2019 | 64 | |
| 6 | 2017 | 40 | |
| 7 | 2016 | 8 | |
| 8 | 2016 | 187 | |
| 9 | 2016 | 132 | |
| 10 | 2016 | 11 | |
| 11 | 2014 | 6 | |
| 12 | 2010 | 83 | |
| 13 | 2009 | 1 | |
| 14 | 2008 | 17 | |
| 15 | 2007 | 34 | |
| 16 | 2005 | 17 | |
| 17 | 2005 | 23 | |
| 18 | 2005 | 50 | |
| 19 | 2005 | 50 | |
| 20 | 2004 | 46 |
About Shelley Hwang
Shelley Hwang is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (16 papers), Breast Lesions and Carcinomas (11 papers), Breast Implant and Reconstruction (8 papers), BRCA gene mutations in cancer (6 papers), Global Cancer Incidence and Screening (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer Genomics and Diagnostics (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Cancer Research (852 citations), Pathology and Forensic Medicine (544 citations) and Oncology (500 citations). Shelley Hwang has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Laura J. Esserman, Stuart J. Schnitt, M. Luke Marinovich, Monica Morrow, Jay R. Harris, Kimberly J. Van Zee, Irene Wapnir, Janet K. Horton, Mariana Chávez‐MacGregor and Nehmat Houssami. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and The Journal of Immunology.
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.