Mark R. Pittelkow
- Dermatology top 0.01%
- Cutaneous lymphoproliferative disorders research 62
- Skin Protection and Aging 22
- Pathology and Forensic Medicine top 0.1%
- Autoimmune Bullous Skin Diseases 40
- Lymphoma Diagnosis and Treatment 24
- Cell Biology top 0.2%
- Skin and Cellular Biology Research 27
- melanin and skin pigmentation 24
- Immunology top 0.5%
- Oncology top 0.5%
- Cutaneous Melanoma Detection and Management 28
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- Nonmelanoma Skin Cancer Studies 23
- Co-authors
- Gary D. ShipleyRobert E. ScottRobert J. CoffeyJohn J. WilleDominik PéusHarold L. MosesPaul W. CookRik Derynck
- Journals
- Journal of the American Academy of Dermatology (68 papers)Journal of Investigative Dermatology (22 papers)Mayo Clinic Proceedings (17 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Mark R. Pittelkow
358 papers receiving 18.6k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Dermatology 6.0k
- Pathology and Forensic Medicine 4.0k
- Cell Biology 3.0k
- Immunology 3.5k
- Oncology 3.9k
Countries citing papers authored by Mark R. Pittelkow
This map shows the geographic impact of Mark R. Pittelkow'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 Mark R. Pittelkow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Pittelkow more than expected).
Fields of papers citing papers by Mark R. Pittelkow
This network shows the impact of papers produced by Mark R. Pittelkow. 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 Mark R. Pittelkow. The network helps show where Mark R. Pittelkow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark R. Pittelkow, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 5 | |
| 12 | 2015 | 13 | |
| 13 | 2010 | 30 | |
| 14 | 2006 | 109 | |
| 15 | 2004 | 100 | |
| 16 | 2002 | 9 | |
| 17 | 2002 | 6 | |
| 18 | 2002 | 13 | |
| 19 | 2002 | 54 | |
| 20 | 2001 | 56 |
About Mark R. Pittelkow
Mark R. Pittelkow is a scholar working on Dermatology, Pathology and Forensic Medicine and Immunology and Allergy, having authored 366 papers that have together received 19.2k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (62 papers), Autoimmune Bullous Skin Diseases (40 papers), Cutaneous Melanoma Detection and Management (28 papers), Skin and Cellular Biology Research (27 papers), Lymphoma Diagnosis and Treatment (24 papers), melanin and skin pigmentation (24 papers), Nonmelanoma Skin Cancer Studies (23 papers) and Skin Protection and Aging (22 papers). The work is most often cited by research in Dermatology (6.0k citations), Pathology and Forensic Medicine (4.0k citations) and Cell Biology (3.0k citations). Mark R. Pittelkow has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Gary D. Shipley, Robert E. Scott, Robert J. Coffey, John J. Wille, Dominik Péus, Harold L. Moses, Paul W. Cook, Rik Derynck, Karin U. Schallreuter and Roger H. Weenig. Their work appears in journals such as Journal of the American Academy of Dermatology, Journal of Investigative Dermatology, Mayo Clinic Proceedings, Archives of Dermatological Research and British Journal of 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.