Jochen Utikal
Impact in
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers
- Cutaneous Melanoma Detection and Management
- CAR-T cell therapy research
- Immunology top 0.2%
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
- Oncology 142
- Cutaneous Melanoma Detection and Management 50
- Cancer Immunotherapy and Biomarkers 36
- CAR-T cell therapy research 30
- Immunology 82
- Immune cells in cancer 41
- Immunotherapy and Immune Responses 33
- Co-authors
- Konrad HochedlingerViktor UmanskyMatthias StadtfeldPeter AltevogtNimet MaheraliChristoffer GebhardtRebekka WeberChristopher Groth
- Journals
- JDDG Journal der Deutschen Dermatologischen Gesellschaft (23 papers)European Journal of Cancer (17 papers)International Journal of Cancer (14 papers)Cancers (13 papers)Journal of Clinical Oncology (10 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Jochen Utikal
267 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Oncology 6.4k
- Immunology 4.4k
- Molecular Biology 8.9k
- Health Informatics 165
- Cancer Research 1.6k
Countries citing papers authored by Jochen Utikal
This map shows the geographic impact of Jochen Utikal'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 Jochen Utikal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Utikal more than expected).
Fields of papers citing papers by Jochen Utikal
This network shows the impact of papers produced by Jochen Utikal. 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 Jochen Utikal. The network helps show where Jochen Utikal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jochen Utikal, 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 | 3 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 56 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 30 | |
| 14 | 2019 | 110 | |
| 15 | 2019 | 42 | |
| 16 | 2018 | 151 | |
| 17 | Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review Hit paper breakdown → | 2018 | 296 |
| 18 | 2015 | 290 | |
| 19 | 2013 | 100 | |
| 20 | Induced Pluripotent Stem Cells Generated Without Viral Integration Hit paper breakdown → | 2008 | 1176 |
About Jochen Utikal
Jochen Utikal is a scholar working on Oncology, Immunology, Dermatology, Immunology and Allergy and Molecular Biology, having authored 277 papers that have together received 16.7k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (50 papers), Melanoma and MAPK Pathways (46 papers), Immune cells in cancer (41 papers), Cancer Immunotherapy and Biomarkers (36 papers), Immunotherapy and Immune Responses (33 papers), Pluripotent Stem Cells Research (31 papers), CAR-T cell therapy research (30 papers) and CRISPR and Genetic Engineering (19 papers). The work is most often cited by research in Oncology (6.4k citations), Immunology (4.4k citations), Molecular Biology (8.9k citations), Health Informatics (165 citations) and Cancer Research (1.6k citations). Jochen Utikal has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Konrad Hochedlinger, Viktor Umansky, Matthias Stadtfeld, Peter Altevogt, Nimet Maherali, Christoffer Gebhardt, Rebekka Weber, Viktor Umansky, Christopher Groth and Dirk Schadendorf. Their work appears in journals such as JDDG Journal der Deutschen Dermatologischen Gesellschaft, European Journal of Cancer, International Journal of Cancer, Cancers and Journal of Clinical Oncology.
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.