A. D. Chan

419 citations
7 papers · 341 · h-index 7

Impact in

    • Cutaneous Melanoma Detection and Management
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies

Papers in

    • Cutaneous Melanoma Detection and Management 5
    • Cancer Cells and Metastasis 1
    • Nonmelanoma Skin Cancer Studies 3

A. D. Chan

7 papers receiving 327 citations

Peers

A. D. Chan
Comparison fields: 5 of 57
  • Oncology 201
  • Cancer Research 87
  • Dermatology 28
  • Biophysics 15
  • Family Practice 5
Replace David Speakman with:
David Speakman Australia
John Spillane Australia
Wilma E. Stanley United States
Diana P. English United States
Henk Wind Netherlands
Katarzyna Kozak Poland
Kaoru Okugawa Japan
G D'aste France
D. Verver Netherlands
Alfonso C. Almendral Switzerland
A. D. Chan relative to David Speakman Australia David Speakman's profile →
Citations per field
00.5×1.5×1.9×
David Speakman · 1×
Citations per year

Countries citing papers authored by A. D. Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with A. D. Chan Line = papers co-authored together A. D. Chan links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Detection of occult metastatic breast cancer cells in blood by a multimolecular marker assay: correlation with clinical stage of disease.
2001127
2 200071
3 199956
4 200041
5 201722
6 200012
7 200212

About A. D. Chan

A. D. Chan is a scholar working on Oncology, Epidemiology, Cancer Research, Immunology and Molecular Biology, having authored 7 papers that have together received 341 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (5 papers), Breast Cancer Treatment Studies (3 papers), Nonmelanoma Skin Cancer Studies (3 papers), Immunotherapy and Immune Responses (2 papers), AI in cancer detection (1 paper), Cancer Cells and Metastasis (1 paper), Medical Education and Admissions (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Oncology (201 citations), Cancer Research (87 citations), Dermatology (28 citations), Biophysics (15 citations) and Family Practice (5 citations). A. D. Chan has collaborated with scholars based in United States. Frequent co-authors include Donald L. Morton, Dave S.�B. Hoon, Bret Taback, Christine Kuo, A E Giuliano, Peter J. Bostick, He-Jing Wang, Leslie A. Wanek, Richard Essner and D L Morton. Their work appears in journals such as Journal of the American College of Surgeons, The American Journal of Surgery, Seminars in Nuclear Medicine, American Journal Of Pathology 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.

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