Peter Radny
Impact in
- Oncology top 5%
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
Papers in
- Oncology 11
- Cutaneous Melanoma Detection and Management 9
- CAR-T cell therapy research 2
- Lung Cancer Research Studies 1
-
- Nonmelanoma Skin Cancer Studies 7
- Co-authors
- Claus Garbe (12 shared papers)Thomas Eigentler (12 shared papers)Ulrich M. Caroli (5 shared papers)Benjamin Weide (6 shared papers)Jürgen Bauer (3 shared papers)Claudia Pföhler (3 shared papers)Annette Pflugfelder (2 shared papers)Manfred Schwarz (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (3 papers)British Journal of Dermatology (2 papers)The Lancet Oncology (2 papers)Experimental Dermatology (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Peter Radny
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 63
- Oncology 567
- Dermatology 137
- Immunology 300
- Epidemiology 192
- Radiology, Nuclear Medicine and Imaging 108
Countries citing papers authored by Peter Radny
This map shows the geographic impact of Peter Radny'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 Peter Radny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Radny more than expected).
Fields of papers citing papers by Peter Radny
This network shows the impact of papers produced by Peter Radny. 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 Peter Radny. The network helps show where Peter Radny may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Radny, 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 | 2003 | 235 | |
| 2 | 2003 | 144 | |
| 3 | 2010 | 116 | |
| 4 | 2008 | 92 | |
| 5 | 2010 | 89 | |
| 6 | 2005 | 77 | |
| 7 | 2005 | 77 | |
| 8 | 2007 | 60 | |
| 9 | 2001 | 56 | |
| 10 | 2010 | 43 | |
| 11 | 2005 | 27 | |
| 12 | 2006 | 13 | |
| 13 | 2008 | 10 | |
| 14 | 2018 | 7 | |
| 15 | 2005 | 6 | |
| 16 | 2004 | 1 | |
| 17 | 2006 | 1 | |
| 18 | 2021 | 0 | |
| 19 | 2006 | 0 |
About Peter Radny
Peter Radny is a scholar working on Oncology, Epidemiology, Dermatology, Immunology and Molecular Biology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (7 papers), Immunotherapy and Immune Responses (4 papers), Cutaneous lymphoproliferative disorders research (2 papers), CAR-T cell therapy research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Oncology (567 citations), Dermatology (137 citations), Immunology (300 citations), Epidemiology (192 citations) and Radiology, Nuclear Medicine and Imaging (108 citations). Peter Radny has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Claus Garbe, Thomas Eigentler, Ulrich M. Caroli, Benjamin Weide, Jürgen Bauer, Claudia Pföhler, Annette Pflugfelder, Manfred Schwarz, Claus D. Claussen and Christina Pfannenberg. Their work appears in journals such as Journal of the American Academy of Dermatology, British Journal of Dermatology, The Lancet Oncology, Experimental Dermatology and European Journal of Cancer.
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.