May Chan
Impact in
- Dermatology top 2%
- Skin Protection and Aging
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- Vitamin D Research Studies
Papers in
- Oncology 7
- Cancer Immunotherapy and Biomarkers 4
- Cutaneous Melanoma Detection and Management 4
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- Vitamin D Research Studies 4
- Genetic factors in colorectal cancer 1
- Co-authors
- D. Timothy Bishop (12 shared papers)Julia Newton‐Bishop (11 shared papers)Faye Elliott (7 shared papers)Juliette A. Randerson‐Moor (7 shared papers)Jennifer H. Barrett (7 shared papers)Birute Karpavicius (5 shared papers)Susan Leake (5 shared papers)Yu‐Mei Chang (4 shared papers)
- Journals
- European Journal of Cancer (2 papers)Clinical Cancer Research (1 paper)International Journal of Cancer (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
May Chan
13 papers receiving 680 citations
Peers
Comparison fields: 5 of 60
- Dermatology 179
- Pathology and Forensic Medicine 239
- Oncology 307
- Immunology 114
- Cell Biology 83
Countries citing papers authored by May Chan
This map shows the geographic impact of May 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 May Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May Chan more than expected).
Fields of papers citing papers by May Chan
This network shows the impact of papers produced by May 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 May Chan. The network helps show where May Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside May 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 | 2009 | 225 | |
| 2 | 2010 | 80 | |
| 3 | 2010 | 78 | |
| 4 | 2018 | 62 | |
| 5 | 2014 | 61 | |
| 6 | 2010 | 43 | |
| 7 | 2011 | 30 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 23 | |
| 10 | 2005 | 22 | |
| 11 | 2011 | 18 | |
| 12 | 2012 | 14 | |
| 13 | 2021 | 6 |
About May Chan
May Chan is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Immunology and Dermatology, having authored 13 papers that have together received 690 indexed citations. Recurring topics across this work include Vitamin D Research Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cutaneous Melanoma Detection and Management (4 papers), Immunotherapy and Immune Responses (2 papers), Melanoma and MAPK Pathways (2 papers), Genetic factors in colorectal cancer (1 paper), Skin Protection and Aging (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Dermatology (179 citations), Pathology and Forensic Medicine (239 citations), Oncology (307 citations), Immunology (114 citations) and Cell Biology (83 citations). May Chan has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include D. Timothy Bishop, Julia Newton‐Bishop, Faye Elliott, Juliette A. Randerson‐Moor, Jennifer H. Barrett, Birute Karpavicius, Susan Leake, Yu‐Mei Chang, Sue Haynes and Kairen Kukalizch. Their work appears in journals such as European Journal of Cancer, Clinical Cancer Research, International Journal of Cancer, Cancer Epidemiology Biomarkers & Prevention and Journal of Clinical Investigation.
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.