Philipp Euskirchen
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Genetics 16
- Glioma Diagnosis and Treatment 16
- Virus-based gene therapy research 2
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- Cancer Genomics and Diagnostics 4
- Co-authors
- David Capper (4 shared papers)Ahmed Idbaih (3 shared papers)Caroline Dehais (3 shared papers)Matthieu Peyre (1 shared paper)Yannick Marie (2 shared papers)Franck Bielle (3 shared papers)Julien Masliah‐Planchon (1 shared paper)Shai Rosenberg (1 shared paper)
In The Last Decade
Philipp Euskirchen
32 papers receiving 1.4k citations
Philipp Euskirchen's Hit Papers
Peers
Comparison fields: 5 of 83
- Genetics 493
- Cancer Research 360
- Neurology 138
- Neurology 64
- Molecular Biology 510
Countries citing papers authored by Philipp Euskirchen
This map shows the geographic impact of Philipp Euskirchen'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 Euskirchen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Euskirchen more than expected).
Fields of papers citing papers by Philipp Euskirchen
This network shows the impact of papers produced by Philipp Euskirchen. 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 Euskirchen. The network helps show where Philipp Euskirchen may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Euskirchen, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrated Molecular-Morphologic Meningioma Classification: A Multicenter Retrospective Analysis, Retrospectively and Prospectively Validated Hit paper breakdown → | 2021 | 179 |
| 2 | 2020 | 155 | |
| 3 | 2017 | 155 | |
| 4 | 2013 | 126 | |
| 5 | 2016 | 101 | |
| 6 | 2023 | 72 | |
| 7 | 2016 | 63 | |
| 8 | 2021 | 61 | |
| 9 | 2022 | 61 | |
| 10 | 2021 | 60 | |
| 11 | 2014 | 54 | |
| 12 | 2022 | 47 | |
| 13 | 2009 | 46 | |
| 14 | 2015 | 37 | |
| 15 | 2018 | 28 | |
| 16 | 2017 | 27 | |
| 17 | 2019 | 21 | |
| 18 | 2025 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2011 | 15 |
About Philipp Euskirchen
Philipp Euskirchen is a scholar working on Genetics, Cancer Research, Neurology, Pathology and Forensic Medicine and Psychiatry and Mental health, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (4 papers), Meningioma and schwannoma management (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Neuroblastoma Research and Treatments (2 papers), Cancer Cells and Metastasis (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Genetics (493 citations), Cancer Research (360 citations), Neurology (138 citations), Neurology (64 citations) and Molecular Biology (510 citations). Philipp Euskirchen has collaborated with scholars based in Germany, Norway and France. Frequent co-authors include David Capper, Ahmed Idbaih, Caroline Dehais, Matthieu Peyre, Yannick Marie, Franck Bielle, Julien Masliah‐Planchon, Shai Rosenberg, Jean‐Yves Delattre and Maïlys Daniau. Their work appears in journals such as Acta Neuropathologica, PLoS ONE, Neuro-Oncology, Journal of Neuro-Oncology and Neuropathology and Applied Neurobiology.
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.