May Chan

2.4k citations
25 papers · 1.9k · h-index 20

Impact in

    • Skin Protection and Aging
  • Oncology top 5%
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research

Papers in

    • Cutaneous Melanoma Detection and Management 11
    • Cancer Immunotherapy and Biomarkers 4
    • Skin Protection and Aging 5

May Chan

25 papers receiving 1.9k citations

Peers

May Chan
Comparison fields: 5 of 88
  • Dermatology 401
  • Oncology 1.1k
  • Pathology and Forensic Medicine 309
  • Cancer Research 235
  • Cell Biology 242
Replace Anna Måsbäck with:
Anna Måsbäck Sweden
Urvi Mujumdar United States
Wilma Bergman Netherlands
Veronique A. Bataille United Kingdom
Adina Figl Germany
Peter Kaskel Germany
Hamida Mohamdi France
Sarah V. Ward Australia
Bettina Schlagenhauff Germany
Burkhard Hirsch Germany
May Chan relative to Anna Måsbäck Sweden Anna Måsbäck's profile →
Citations per field
00.5×1.5×2×2.3×
Anna Måsbäck · 1×
Citations per year

Countries citing papers authored by May Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006343
2 2006338
3 2009246
4 2010104
5 201092
6 201091
7 201875
8 201462
9 202053
10 201851
11 201050
12 201047
13 201447
14 201742
15 201137
16 201234
17 201932
18 201131
19 200524
20 201923

About May Chan

May Chan is a scholar working on Oncology, Dermatology, Pathology and Forensic Medicine, Cell Biology and Immunology, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (11 papers), Skin Protection and Aging (5 papers), Vitamin D Research Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), melanin and skin pigmentation (3 papers), Immunotherapy and Immune Responses (2 papers), Melanoma and MAPK Pathways (2 papers) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Dermatology (401 citations), Oncology (1.1k citations), Pathology and Forensic Medicine (309 citations), Cancer Research (235 citations) and Cell Biology (242 citations). May Chan has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include D. Timothy Bishop, Julia Newton‐Bishop, Faye Elliott, Jennifer H. Barrett, Juliette A. Randerson‐Moor, Susan Leake, Birute Karpavicius, Sue E. Haynes, Yu‐Mei Chang and Kairen Kukalizch. Their work appears in journals such as Journal of Clinical Oncology, Cancer Epidemiology Biomarkers & Prevention, European Journal of Cancer, Pigment Cell & Melanoma Research and Journal of Medical Genetics.

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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