Philipp Euskirchen

1.8k citations
25 papers · 632 · h-index 12

Impact in

Papers in

    • Glioma Diagnosis and Treatment 12
    • Cancer Genomics and Diagnostics 5
    • MicroRNA in disease regulation 3

Philipp Euskirchen

25 papers receiving 628 citations

Peers

Philipp Euskirchen
Comparison fields: 5 of 59
  • Genetics 232
  • Cancer Research 132
  • Neurology 48
  • Health Informatics 6
  • Psychiatry and Mental health 50
Replace Gerrit H. Gielen with:
Gerrit H. Gielen Germany
Julius W. Kim United States
Christopher E. Mandigo United States
Sherry L. Taylor United States
Suojun Zhang China
Pierpaolo Peruzzi United States
Mariella G. Filbin United States
Shigeo Ueda Japan
Irina V. Balyasnikova United States
Mark W. Youngblood United States
Philipp Euskirchen relative to Gerrit H. Gielen Germany Gerrit H. Gielen's profile →
Citations per field
00.5×2.8×
Gerrit H. Gielen · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017137
2 201663
3 202358
4 201453
5 202152
6 202147
7 200943
8 201533
9 201829
10 201726
11 201114
12 201913
13 202311
14 202411
15 20178
16 20218
17 20227
18 20197
19 20243
20 20242

About Philipp Euskirchen

Philipp Euskirchen is a scholar working on Genetics, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 25 papers that have together received 632 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), MicroRNA in disease regulation (3 papers), Migraine and Headache Studies (2 papers), Meningioma and schwannoma management (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Genetics (232 citations), Cancer Research (132 citations), Neurology (48 citations), Health Informatics (6 citations) and Psychiatry and Mental health (50 citations). Philipp Euskirchen has collaborated with scholars based in Germany, France and Norway. Frequent co-authors include Matthieu Peyre, Caroline Dehais, Ahmed Idbaïh, David Capper, Shai Rosenberg, Wigard P. Kloosterman, Jean‐Yves Delattre, Yannick Marie, Julien Masliah‐Planchon and Charlotte Schmitt. Their work appears in journals such as Neuro-Oncology, Journal of Neuro-Oncology, PLoS ONE, Acta Neuropathologica Communications and Neuro-Oncology Advances.

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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