Yan Pan
Impact in
- Dermatology top 2%
- Cutaneous lymphoproliferative disorders research
- Cancer and Skin Lesions
- Oncology top 10%
- Cutaneous Melanoma Detection and Management
Papers in
- Oncology 21
- Cutaneous Melanoma Detection and Management 20
- Dermatology 10
- Cutaneous lymphoproliferative disorders research 8
- Co-authors
- John W. Kelly (13 shared papers)Catriona McLean (15 shared papers)Rory Wolfe (9 shared papers)Alex J Chamberlain (4 shared papers)Michael Bailey (1 shared paper)Martin Haskett (2 shared papers)Alvin H Chong (1 shared paper)Matthew J. Lin (3 shared papers)
In The Last Decade
Yan Pan
28 papers receiving 494 citations
Peers
Comparison fields: 5 of 63
- Dermatology 228
- Oncology 343
- Epidemiology 224
- Geriatrics and Gerontology 18
- Biophysics 22
Countries citing papers authored by Yan Pan
This map shows the geographic impact of Yan Pan'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 Yan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Pan more than expected).
Fields of papers citing papers by Yan Pan
This network shows the impact of papers produced by Yan Pan. 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 Yan Pan. The network helps show where Yan Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 101 | |
| 2 | 2008 | 71 | |
| 3 | 2018 | 41 | |
| 4 | 2020 | 35 | |
| 5 | 2016 | 33 | |
| 6 | 2014 | 26 | |
| 7 | 2019 | 23 | |
| 8 | 2019 | 22 | |
| 9 | 2021 | 19 | |
| 10 | 2016 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2017 | 14 | |
| 13 | 2015 | 14 | |
| 14 | 2019 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2005 | 8 | |
| 17 | 2012 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2025 | 5 |
About Yan Pan
Yan Pan is a scholar working on Oncology, Dermatology, Epidemiology, Molecular Biology and Biomedical Engineering, having authored 28 papers that have together received 504 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (20 papers), Nonmelanoma Skin Cancer Studies (10 papers), Cutaneous lymphoproliferative disorders research (8 papers), Cell Image Analysis Techniques (4 papers), Optical Coherence Tomography Applications (4 papers), Melanoma and MAPK Pathways (3 papers), melanin and skin pigmentation (2 papers) and Infectious Diseases and Mycology (2 papers). The work is most often cited by research in Dermatology (228 citations), Oncology (343 citations), Epidemiology (224 citations), Geriatrics and Gerontology (18 citations) and Biophysics (22 citations). Yan Pan has collaborated with scholars based in Australia, China and Vietnam. Frequent co-authors include John W. Kelly, Catriona McLean, Rory Wolfe, Alex J Chamberlain, Michael Bailey, Martin Haskett, Alvin H Chong, Matthew J. Lin, Milind Rajadhyaksha and Ashfaq A. Marghoob. Their work appears in journals such as Australasian Journal of Dermatology, Journal of the American Academy of Dermatology, Urology, Environment International and The Medical Journal of Australia.
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.