Philipp Euskirchen

1.7k citations
24 papers · 596 · h-index 12

Impact in

Papers in

    • Glioma Diagnosis and Treatment 13
    • Cancer Genomics and Diagnostics 7
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3

Philipp Euskirchen

24 papers receiving 588 citations

Peers

Philipp Euskirchen
Comparison fields: 5 of 61
  • Genetics 251
  • Cancer Research 156
  • Neurology 49
  • Health Informatics 6
  • Neurology 61
Replace Francesco Di Meco with:
Francesco Di Meco Italy
Gerrit H. Gielen Germany
Christopher E. Mandigo United States
Serena Redaelli Italy
Atsushi Tsugu Japan
Pierpaolo Peruzzi United States
Giulia Berzero Italy
Johan Westerga Netherlands
Julius W. Kim United States
Hinke F. van Thuijl Netherlands
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Citations per field
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Francesco Di Meco · 1×
Citations per year

Countries citing papers authored by Philipp Euskirchen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Philipp Euskirchen Line = papers co-authored together Philipp Euskirchen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017130
2 201661
3 202354
4 201450
5 202149
6 202147
7 200941
8 201829
9 201527
10 201725
11 201114
12 201913
13 202311
14 202410
15 20178
16 20217
17 20196
18 20224
19 20242
20 20242

About Philipp Euskirchen

Philipp Euskirchen is a scholar working on Genetics, Cancer Research, Molecular Biology, Neurology and Epidemiology, having authored 24 papers that have together received 596 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Cancer Genomics and Diagnostics (7 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Meningioma and schwannoma management (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Genetics (251 citations), Cancer Research (156 citations), Neurology (49 citations), Health Informatics (6 citations) and Neurology (61 citations). Philipp Euskirchen has collaborated with scholars based in Germany, France and Norway. Frequent co-authors include Matthieu Peyre, David Capper, Yannick Marie, Franck Bielle, Caroline Dehais, Ahmed Idbaïh, Maïlys Daniau, Julien Masliah‐Planchon, Karim Labrèche and Shai Rosenberg. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, PLoS ONE, Acta Neuropathologica Communications and Neurology Neuroimmunology & Neuroinflammation.

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.

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