Philipp Jansen
Impact in
- Health Informatics top 2%
- Oncology top 2%
- Cutaneous Melanoma Detection and Management
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 27
- Cutaneous Melanoma Detection and Management 21
- Cancer Immunotherapy and Biomarkers 3
- CAR-T cell therapy research 2
-
- Dermatologic Treatments and Research 2
- Co-authors
- Joachim Klode (16 shared papers)Dirk Schadendorf (26 shared papers)Titus Josef Brinker (10 shared papers)Jennifer Landsberg (3 shared papers)Tobias Bald (2 shared papers)Thomas Tüting (2 shared papers)Evelyn Gaffal (2 shared papers)Cindy Franklin (4 shared papers)
- Journals
- European Journal of Cancer (18 papers)Cancers (4 papers)JDDG Journal der Deutschen Dermatologischen Gesellschaft (2 papers)Journal of Medical Internet Research (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Philipp Jansen
49 papers receiving 2.1k citations
Philipp Jansen's Hit Papers
Peers
Comparison fields: 5 of 128
- Health Informatics 83
- Oncology 1.3k
- Biophysics 120
- Artificial Intelligence 672
- Dermatology 152
Countries citing papers authored by Philipp Jansen
This map shows the geographic impact of Philipp Jansen'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 Philipp Jansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Jansen more than expected).
Fields of papers citing papers by Philipp Jansen
This network shows the impact of papers produced by Philipp Jansen. 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 Philipp Jansen. The network helps show where Philipp Jansen may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Jansen, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task Hit paper breakdown → | 2019 | 410 |
| 2 | 2019 | 284 | |
| 3 | 2019 | 232 | |
| 4 | 2014 | 227 | |
| 5 | 2019 | 174 | |
| 6 | 2019 | 164 | |
| 7 | 2019 | 112 | |
| 8 | 2020 | 64 | |
| 9 | 2020 | 34 | |
| 10 | 1996 | 33 | |
| 11 | 2019 | 33 | |
| 12 | 2017 | 29 | |
| 13 | 2019 | 27 | |
| 14 | 2021 | 27 | |
| 15 | 2022 | 25 | |
| 16 | 2017 | 22 | |
| 17 | 2021 | 20 | |
| 18 | 2017 | 19 | |
| 19 | 2022 | 18 | |
| 20 | 2015 | 18 |
About Philipp Jansen
Philipp Jansen is a scholar working on Oncology, Dermatology, Epidemiology, Immunology and Cancer Research, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (21 papers), Melanoma and MAPK Pathways (8 papers), Nonmelanoma Skin Cancer Studies (6 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (2 papers) and Dermatologic Treatments and Research (2 papers). The work is most often cited by research in Health Informatics (83 citations), Oncology (1.3k citations), Biophysics (120 citations), Artificial Intelligence (672 citations) and Dermatology (152 citations). Philipp Jansen has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Joachim Klode, Dirk Schadendorf, Titus Josef Brinker, Jennifer Landsberg, Tobias Bald, Thomas Tüting, Evelyn Gaffal, Cindy Franklin, Christof V. Kalle and Ingo Stoffels. Their work appears in journals such as European Journal of Cancer, Cancers, JDDG Journal der Deutschen Dermatologischen Gesellschaft, Journal of Medical Internet Research and Frontiers in Immunology.
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.