A. D. Chan
Impact in
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- Cutaneous Melanoma Detection and Management
- Cancer Cells and Metastasis
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- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
Papers in
- Oncology 6
- Cutaneous Melanoma Detection and Management 5
- Cancer Cells and Metastasis 1
-
- Nonmelanoma Skin Cancer Studies 3
- Co-authors
- Donald L. Morton (3 shared papers)Christine Kuo (2 shared papers)Dave S.�B. Hoon (2 shared papers)Bret Taback (2 shared papers)Peter J. Bostick (1 shared paper)He-Jing Wang (1 shared paper)A E Giuliano (1 shared paper)Richard Essner (1 shared paper)
- Journals
- Journal of the American College of Surgeons (2 papers)Seminars in Nuclear Medicine (1 paper)American Journal Of Pathology (1 paper)The American Journal of Surgery (1 paper)Recent results in cancer research (1 paper)
- Partner nations
- United States
In The Last Decade
A. D. Chan
7 papers receiving 336 citations
Peers
Comparison fields: 5 of 50
- Oncology 193
- Cancer Research 65
- Dermatology 23
- Pathology and Forensic Medicine 32
- Obstetrics and Gynecology 13
Countries citing papers authored by A. D. Chan
This map shows the geographic impact of A. D. Chan'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 A. D. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. D. Chan more than expected).
Fields of papers citing papers by A. D. Chan
This network shows the impact of papers produced by A. D. Chan. 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 A. D. Chan. The network helps show where A. D. Chan may publish in the future.
Co-authors
The 15 scholars most cited alongside A. D. Chan, 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 | Detection of occult metastatic breast cancer cells in blood by a multimolecular marker assay: correlation with clinical stage of disease. | 2001 | 134 |
| 2 | 2000 | 74 | |
| 3 | 1999 | 58 | |
| 4 | 2000 | 43 | |
| 5 | 2017 | 22 | |
| 6 | 2002 | 13 | |
| 7 | 2000 | 12 |
About A. D. Chan
A. D. Chan is a scholar working on Oncology, Epidemiology, Cancer Research, Pathology and Forensic Medicine and Artificial Intelligence, having authored 7 papers that have together received 356 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (5 papers), Nonmelanoma Skin Cancer Studies (3 papers), Breast Cancer Treatment Studies (3 papers), Cancer Cells and Metastasis (1 paper), Immunotherapy and Immune Responses (1 paper), Innovations in Medical Education (1 paper), Breast Lesions and Carcinomas (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Oncology (193 citations), Cancer Research (65 citations), Dermatology (23 citations), Pathology and Forensic Medicine (32 citations) and Obstetrics and Gynecology (13 citations). A. D. Chan has collaborated with scholars based in United States. Frequent co-authors include Donald L. Morton, Christine Kuo, Dave S.�B. Hoon, Bret Taback, Peter J. Bostick, He-Jing Wang, A E Giuliano, Richard Essner, Leslie A. Wanek and D L Morton. Their work appears in journals such as Journal of the American College of Surgeons, Seminars in Nuclear Medicine, American Journal Of Pathology, The American Journal of Surgery and Recent results in 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.