Joy Wan
Impact in
- Dermatology top 0.5%
- Dermatology and Skin Diseases
- Contact Dermatitis and Allergies
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
Papers in
- Dermatology 48
- Dermatology and Skin Diseases 47
- Contact Dermatitis and Allergies 2
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- Psoriasis: Treatment and Pathogenesis 7
- Co-authors
- Joel M. Gelfand (26 shared papers)Daniel B. Shin (22 shared papers)Katrina Abuabara (22 shared papers)David J. Margolis (11 shared papers)Ole Hoffstad (10 shared papers)Nandita Mitra (8 shared papers)Michelle Denburg (2 shared papers)Maha N. Syed (13 shared papers)
- Journals
- Journal of the American Academy of Dermatology (17 papers)JAMA Dermatology (11 papers)British Journal of Dermatology (9 papers)Journal of Investigative Dermatology (8 papers)Pediatric Dermatology (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Joy Wan
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Dermatology 623
- Immunology 340
- Rheumatology 75
- Immunology and Allergy 23
- Nephrology 38
Countries citing papers authored by Joy Wan
This map shows the geographic impact of Joy Wan'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 Joy Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Wan more than expected).
Fields of papers citing papers by Joy Wan
This network shows the impact of papers produced by Joy Wan. 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 Joy Wan. The network helps show where Joy Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy Wan, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 168 | |
| 2 | 2012 | 101 | |
| 3 | 2015 | 96 | |
| 4 | 2021 | 59 | |
| 5 | 2018 | 49 | |
| 6 | 2013 | 48 | |
| 7 | 2019 | 44 | |
| 8 | 2021 | 40 | |
| 9 | 2011 | 38 | |
| 10 | 2019 | 38 | |
| 11 | 2021 | 34 | |
| 12 | 2023 | 33 | |
| 13 | 2022 | 32 | |
| 14 | 2017 | 31 | |
| 15 | 2019 | 31 | |
| 16 | 2019 | 31 | |
| 17 | 2016 | 28 | |
| 18 | 2018 | 24 | |
| 19 | 2020 | 24 | |
| 20 | 2016 | 23 |
About Joy Wan
Joy Wan is a scholar working on Dermatology, Immunology, Rheumatology, Health Information Management and Urology, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (47 papers), Psoriasis: Treatment and Pathogenesis (7 papers), Vascular Malformations and Hemangiomas (3 papers), Systemic Lupus Erythematosus Research (3 papers), Contact Dermatitis and Allergies (2 papers), Asthma and respiratory diseases (2 papers), Electronic Health Records Systems (2 papers) and Sleep and related disorders (2 papers). The work is most often cited by research in Dermatology (623 citations), Immunology (340 citations), Rheumatology (75 citations), Immunology and Allergy (23 citations) and Nephrology (38 citations). Joy Wan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Joel M. Gelfand, Daniel B. Shin, Katrina Abuabara, David J. Margolis, Ole Hoffstad, Nandita Mitra, Michelle Denburg, Maha N. Syed, Kevin Haynes and Junko Takeshita. Their work appears in journals such as Journal of the American Academy of Dermatology, JAMA Dermatology, British Journal of Dermatology, Journal of Investigative Dermatology and Pediatric Dermatology.
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.