Michael Weichenthal
- Dermatology top 0.1%
- Dermatology and Skin Diseases 20
- Cutaneous lymphoproliferative disorders research 18
- Skin Protection and Aging 13
- Immunology top 0.5%
- Immunotherapy and Immune Responses 14
- Immunology and Allergy top 1%
- Microbiology top 0.5%
- Oncology top 2%
- Cutaneous Melanoma Detection and Management 41
- CAR-T cell therapy research 24
- Cancer Immunotherapy and Biomarkers 16
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- Melanoma and MAPK Pathways 20
- Co-authors
- Enno ChristophersStefan JenischEduard F. StangeJan WehkampKlaus FellermannAxel HauschildM SuchánCharles Bevins
- Journals
- Journal of Clinical Oncology (19 papers)JDDG Journal der Deutschen Dermatologischen Gesellschaft (11 papers)Annals of Oncology (9 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Weichenthal
136 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Dermatology 1.6k
- Immunology 2.5k
- Immunology and Allergy 489
- Microbiology 483
- Oncology 1.5k
Countries citing papers authored by Michael Weichenthal
This map shows the geographic impact of Michael Weichenthal'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 Michael Weichenthal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Weichenthal more than expected).
Fields of papers citing papers by Michael Weichenthal
This network shows the impact of papers produced by Michael Weichenthal. 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 Michael Weichenthal. The network helps show where Michael Weichenthal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Weichenthal, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 40 | |
| 9 | 2020 | 47 | |
| 10 | 2017 | 14 | |
| 11 | Diagnosis and Follow-up of Melanoma - what will change with the new S3 Guideline? | 2013 | 1 |
| 12 | 2012 | 70 | |
| 13 | 2011 | 19 | |
| 14 | 2011 | 26 | |
| 15 | 2011 | 60 | |
| 16 | 2010 | 127 | |
| 17 | 2009 | 81 | |
| 18 | 2006 | 51 | |
| 19 | Reduced Paneth cell α-defensins in ileal Crohn's diseasebreakdown → | 2005 | 749 |
| 20 | 1994 | 1 |
About Michael Weichenthal
Michael Weichenthal is a scholar working on Dermatology, Oncology and Immunology and Allergy, having authored 137 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (41 papers), CAR-T cell therapy research (24 papers), Melanoma and MAPK Pathways (20 papers), Dermatology and Skin Diseases (20 papers), Cutaneous lymphoproliferative disorders research (18 papers), Cancer Immunotherapy and Biomarkers (16 papers), Immunotherapy and Immune Responses (14 papers) and Skin Protection and Aging (13 papers). The work is most often cited by research in Dermatology (1.6k citations), Immunology (2.5k citations) and Immunology and Allergy (489 citations). Michael Weichenthal has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Enno Christophers, Stefan Jenisch, Eduard F. Stange, Jan Wehkamp, Klaus Fellermann, Axel Hauschild, M Suchán, Charles Bevins, Matthias Schwab and Thomas Schwarz. Their work appears in journals such as Journal of Clinical Oncology, JDDG Journal der Deutschen Dermatologischen Gesellschaft, Annals of Oncology, European Journal of Cancer and Acta Dermato Venereologica.
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.