Philip Jermann
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
-
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 10
- Oncology 9
- Cancer Immunotherapy and Biomarkers 8
- Lung Cancer Research Studies 2
- Co-authors
- Dirk Schübeler (1 shared paper)Lukas Burger (1 shared paper)Leslie Hoerner (1 shared paper)Ilaria Alborelli (11 shared papers)Lukas Bubendorf (8 shared papers)Luca Quagliata (6 shared papers)Markus Tolnay (3 shared papers)Spasenija Savic Prince (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Lung Cancer (2 papers)Journal of Molecular Diagnostics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Histopathology (1 paper)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Philip Jermann
17 papers receiving 382 citations
Peers
Comparison fields: 5 of 40
- Cancer Research 143
- Oncology 113
- Pulmonary and Respiratory Medicine 88
- Molecular Biology 177
- Pathology and Forensic Medicine 31
Countries citing papers authored by Philip Jermann
This map shows the geographic impact of Philip Jermann'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 Philip Jermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Jermann more than expected).
Fields of papers citing papers by Philip Jermann
This network shows the impact of papers produced by Philip Jermann. 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 Philip Jermann. The network helps show where Philip Jermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Jermann, 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 | 2014 | 110 | |
| 2 | 2019 | 103 | |
| 3 | 2019 | 89 | |
| 4 | 2020 | 17 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2019 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Philip Jermann
Philip Jermann is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 20 papers that have together received 386 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), Lung Cancer Treatments and Mutations (7 papers), Genomics and Rare Diseases (2 papers), Lung Cancer Research Studies (2 papers), Genomics and Phylogenetic Studies (2 papers), Cancer-related gene regulation (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (143 citations), Oncology (113 citations), Pulmonary and Respiratory Medicine (88 citations), Molecular Biology (177 citations) and Pathology and Forensic Medicine (31 citations). Philip Jermann has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Dirk Schübeler, Lukas Burger, Leslie Hoerner, Ilaria Alborelli, Lukas Bubendorf, Luca Quagliata, Markus Tolnay, Spasenija Savic Prince, Katharina Leonards and Sacha I. Rothschild. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Journal of Molecular Diagnostics, Proceedings of the National Academy of Sciences and Histopathology.
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.