Philipp Sievers

4.9k total citations
31 papers, 351 citations indexed

About

Philipp Sievers is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Philipp Sievers has authored 31 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 13 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Philipp Sievers's work include Glioma Diagnosis and Treatment (23 papers), Chromatin Remodeling and Cancer (8 papers) and Meningioma and schwannoma management (7 papers). Philipp Sievers is often cited by papers focused on Glioma Diagnosis and Treatment (23 papers), Chromatin Remodeling and Cancer (8 papers) and Meningioma and schwannoma management (7 papers). Philipp Sievers collaborates with scholars based in Germany, Netherlands and United States. Philipp Sievers's co-authors include Damian Stichel, Daniel Schrimpf, Felix Sahm, Sybren L. N. Maas, Thomas Hielscher, Michael Weller, Hans‐Georg Wirsching, Anna S. Berghoff, Elisabeth J. Rushing and David Jones and has published in prestigious journals such as Genes & Development, Acta Neuropathologica and Neuro-Oncology.

In The Last Decade

Philipp Sievers

27 papers receiving 347 citations

Peers

Philipp Sievers
Melissa Umphlett United States
Ina Ly United States
Ralf Ketter Germany
Melissa Umphlett United States
Philipp Sievers
Citations per year, relative to Philipp Sievers Philipp Sievers (= 1×) peers Melissa Umphlett

Countries citing papers authored by Philipp Sievers

Since Specialization
Citations

This map shows the geographic impact of Philipp Sievers'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 Sievers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Sievers more than expected).

Fields of papers citing papers by Philipp Sievers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philipp Sievers. 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 Sievers. The network helps show where Philipp Sievers may publish in the future.

Co-authorship network of co-authors of Philipp Sievers

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Sievers. A scholar is included among the top collaborators of Philipp Sievers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philipp Sievers. Philipp Sievers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tauziède‐Espariat, Arnault, Philipp Sievers, Volodia Dangouloff‐Ros, et al.. (2025). Pediatric high-grade gliomas with concomitant RB1 and SETD2 alterations and Li-Fraumeni syndrome. Acta Neuropathologica Communications. 13(1). 8–8. 1 indexed citations
2.
Okonechnikov, Konstantin, David R. Ghasemi, Daniel Schrimpf, et al.. (2025). Biglycan-driven risk stratification in ZFTA-RELA fusion supratentorial ependymomas through transcriptome profiling. Acta Neuropathologica Communications. 13(1). 4–4. 1 indexed citations
3.
Tauziède‐Espariat, Arnault, Volodia Dangouloff‐Ros, Philipp Sievers, et al.. (2025). Glioneuronal tumors PATZ1-fused: clinico-molecular and DNA methylation signatures for a variety of morphological and radiological profiles. Acta Neuropathologica Communications. 13(1). 114–114.
4.
Sill, Martin, Daniel Schrimpf, Dominik Sturm, et al.. (2025). PATH-60. Advancing CNS tumor diagnostics with expanded DNA methylation-based classification. Neuro-Oncology. 27(Supplement_5). v254–v254. 2 indexed citations
5.
Arora, Sonali, Sebastian Schmid, Philipp Sievers, et al.. (2024). Aggressive high-grade NF2 mutant meningiomas downregulate oncogenic YAP signaling via the upregulation of VGLL4 and FAT3/4. Neuro-Oncology Advances. 6(1). vdae148–vdae148. 2 indexed citations
6.
Galli, Roberta, Franz Lehner, Sven Richter, et al.. (2024). Prediction of WHO grade and methylation class of aggressive meningiomas: Extraction of diagnostic information from infrared spectroscopic data. Neuro-Oncology Advances. 6(1). vdae082–vdae082. 2 indexed citations
7.
Chiang, Jason, Angela N. Viaene, Philipp Sievers, et al.. (2024). A multi-institutional series of a novel, recurrent TRIM24::MET fusion-driven infant-type hemispheric glioma reveals significant clinico-pathological heterogeneity. Acta Neuropathologica Communications. 12(1). 101–101.
8.
Tauziède‐Espariat, Arnault, Aurore Siegfried, Yvan Nicaise, et al.. (2023). PLAG1 fusions extend the spectrum of PLAG(L)-altered CNS tumors. Acta Neuropathologica. 146(6). 841–844. 4 indexed citations
9.
Korshunov, Andrey, Konstantin Okonechnikov, Daniel Schrimpf, et al.. (2023). Transcriptome analysis stratifies second-generation non-WNT/non-SHH medulloblastoma subgroups into clinically tractable subtypes. Acta Neuropathologica. 145(6). 829–842. 2 indexed citations
10.
Selt, Florian, Ahmed El Damaty, Martin U. Schuhmann, et al.. (2023). Generation of patient-derived pediatric pilocytic astrocytoma in-vitro models using SV40 large T: evaluation of a modeling workflow. Journal of Neuro-Oncology. 165(3). 467–478. 1 indexed citations
11.
12.
Tauziède‐Espariat, Arnault, Kévin Beccaria, Volodia Dangouloff‐Ros, et al.. (2023). A comprehensive analysis of infantile central nervous system tumors to improve distinctive criteria for infant‐type hemispheric glioma versus desmoplastic infantile ganglioglioma/astrocytoma. Brain Pathology. 33(5). e13182–e13182. 9 indexed citations
13.
Sievers, Philipp, Martin Sill, Daniel Schrimpf, et al.. (2022). Epigenetic profiling reveals a subset of pediatric-type glioneuronal tumors characterized by oncogenic gene fusions involving several targetable kinases. Acta Neuropathologica. 144(5). 1049–1052. 5 indexed citations
14.
Korshunov, Andrey, Konstantin Okonechnikov, Damian Stichel, et al.. (2022). Gene expression profiling of Group 3 medulloblastomas defines a clinically tractable stratification based on KIRREL2 expression. Acta Neuropathologica. 144(2). 339–352. 7 indexed citations
15.
Tauziède‐Espariat, Arnault, Gaëlle Pierron, Delphine Guillemot, et al.. (2021). A novel SMARCA2-CREM fusion: expanding the molecular spectrum of intracranial mesenchymal tumors beyond the FET genes. Acta Neuropathologica Communications. 9(1). 174–174. 10 indexed citations
16.
Selt, Florian, Cornelis M. van Tilburg, Brigitte Bison, et al.. (2020). Response to trametinib treatment in progressive pediatric low-grade glioma patients. Journal of Neuro-Oncology. 149(3). 499–510. 68 indexed citations
17.
Rhun, Émilie Le, Felix Sahm, Sophie Wang, et al.. (2020). Sensitivity of human meningioma cells to the cyclin-dependent kinase inhibitor, TG02. Translational Oncology. 13(12). 100852–100852. 4 indexed citations
18.
Korshunov, Andrey, Felix Sahm, Konstantin Okonechnikov, et al.. (2019). Desmoplastic/nodular medulloblastomas (DNMB) and medulloblastomas with extensive nodularity (MBEN) disclose similar epigenetic signatures but different transcriptional profiles. Acta Neuropathologica. 137(6). 1003–1015. 4 indexed citations
19.
Preusch, Michael R., Jonas Rusnak, Carolin Mogler, et al.. (2016). Ticagrelor promotes atherosclerotic plaque stability in a mouse model of advanced atherosclerosis. Drug Design Development and Therapy. Volume 10. 2691–2699. 20 indexed citations
20.
Preusch, Michael R., Philipp Sievers, Lorenz Uhlmann, et al.. (2015). Combined treatment with olmesartan medoxomil and amlodipine besylate attenuates atherosclerotic lesion progression in a model of advanced atherosclerosis. Drug Design Development and Therapy. 9. 3935–3935. 5 indexed citations

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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