Dawn Queen
Impact in
- Dermatology top 5%
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- Acute Kidney Injury Research
Papers in
- Dermatology 15
- Cutaneous lymphoproliferative disorders research 8
- Dermatologic Treatments and Research 3
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- Autoimmune Bullous Skin Diseases 4
- Co-authors
- David Kotelchuck (1 shared paper)Robert D. Bullard (1 shared paper)Liang Liu (2 shared papers)Larisa J. Geskin (13 shared papers)Megan H. Trager (14 shared papers)Faramarz H. Samie (11 shared papers)Daniel L.J. Thorek (1 shared paper)Katia Manova‐Todorova (1 shared paper)
- Journals
- Dermatologic Surgery (7 papers)Archives of Dermatological Research (2 papers)Journal of Cutaneous Pathology (1 paper)Journal of Investigative Dermatology (1 paper)Journal of Thoracic and Cardiovascular Surgery (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Dawn Queen
35 papers receiving 568 citations
Peers
Comparison fields: 5 of 118
- Dermatology 77
- Nephrology 36
- Transplantation 9
- Biomaterials 43
- Immunology 64
Countries citing papers authored by Dawn Queen
This map shows the geographic impact of Dawn Queen'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 Dawn Queen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn Queen more than expected).
Fields of papers citing papers by Dawn Queen
This network shows the impact of papers produced by Dawn Queen. 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 Dawn Queen. The network helps show where Dawn Queen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawn Queen, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 132 | |
| 2 | 2016 | 110 | |
| 3 | 2019 | 82 | |
| 4 | 2017 | 41 | |
| 5 | 2019 | 36 | |
| 6 | 2019 | 34 | |
| 7 | 2020 | 26 | |
| 8 | 2019 | 21 | |
| 9 | 1972 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2021 | 3 |
About Dawn Queen
Dawn Queen is a scholar working on Dermatology, Pathology and Forensic Medicine, Epidemiology, Urology and Oncology, having authored 40 papers that have together received 591 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (8 papers), Hair Growth and Disorders (7 papers), Nonmelanoma Skin Cancer Studies (5 papers), Autoimmune Bullous Skin Diseases (4 papers), Dermatologic Treatments and Research (3 papers), Nail Diseases and Treatments (2 papers), Patient Satisfaction in Healthcare (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Dermatology (77 citations), Nephrology (36 citations), Transplantation (9 citations), Biomaterials (43 citations) and Immunology (64 citations). Dawn Queen has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include David Kotelchuck, Robert D. Bullard, Liang Liu, Larisa J. Geskin, Megan H. Trager, Faramarz H. Samie, Daniel L.J. Thorek, Katia Manova‐Todorova, Bradley J. Beattie and David A. Scheinberg. Their work appears in journals such as Dermatologic Surgery, Archives of Dermatological Research, Journal of Cutaneous Pathology, Journal of Investigative Dermatology and Journal of Thoracic and Cardiovascular Surgery.
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.