Ulrich Schüller

21.5k total citations
174 papers, 4.5k citations indexed

About

Ulrich Schüller is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Ulrich Schüller has authored 174 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 77 papers in Genetics and 25 papers in Cancer Research. Recurrent topics in Ulrich Schüller's work include Glioma Diagnosis and Treatment (77 papers), Hedgehog Signaling Pathway Studies (30 papers) and Chromatin Remodeling and Cancer (28 papers). Ulrich Schüller is often cited by papers focused on Glioma Diagnosis and Treatment (77 papers), Hedgehog Signaling Pathway Studies (30 papers) and Chromatin Remodeling and Cancer (28 papers). Ulrich Schüller collaborates with scholars based in Germany, United States and Switzerland. Ulrich Schüller's co-authors include David H. Rowitch, Jörg‐Christian Tonn, Hans A. Kretzschmar, Arend Koch, Julia Pöschl, Stefan Rutkowski, Robert J. Wechsler‐Reya, Brandon J. Wainwright, Gord Fishell and Tammy Ellis and has published in prestigious journals such as Journal of Neuroscience, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Ulrich Schüller

160 papers receiving 4.4k citations

Peers

Ulrich Schüller
Rolf Buslei Germany
Joon H. Uhm United States
Andreas Waha Germany
Seok‐Gu Kang South Korea
Sonika Dahiya United States
John K. Park United States
Ulrich Schüller
Citations per year, relative to Ulrich Schüller Ulrich Schüller (= 1×) peers Nils Ole Schmidt

Countries citing papers authored by Ulrich Schüller

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Schüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Schüller

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Schüller. A scholar is included among the top collaborators of Ulrich Schüller 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 Ulrich Schüller. Ulrich Schüller 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.
Ritzmann, Timothy, Denise Obrecht, Martin Benesch, et al.. (2025). European standard clinical practice recommendations for newly diagnosed ependymoma of childhood and adolescence. EUR Research Repository (Erasmus University Rotterdam). 5. 100227–100227. 1 indexed citations
2.
Schoof, Melanie, et al.. (2025). Integration of omics data in the diagnosis and therapy of glioblastoma. Brain Pathology. 36(1). e70027–e70027.
3.
Drexler, Richard, Franz Ricklefs, Jens Gempt, et al.. (2024). Unclassifiable CNS tumors in DNA methylation-based classification: clinical challenges and prognostic impact. Acta Neuropathologica Communications. 12(1). 9–9. 9 indexed citations
4.
Obrecht, Denise, Pablo Hernáiz Driever, Axel Sauerbrey, et al.. (2024). Medulloblastoma in children with Fanconi anemia: Association with FA-D1/FA-N, SHH type and poor survival independent of treatment strategies. Neuro-Oncology. 26(11). 2125–2139. 1 indexed citations
5.
Walter, Carolin, Eric Suero Molina, Walter Stummer, et al.. (2024). Single-cell transcriptomics link gene expression signatures to clinicopathological features of gonadotroph and lactotroph PitNET. Journal of Translational Medicine. 22(1). 1027–1027. 1 indexed citations
6.
Rascon, Jelena, Sabine Taschner‐Mandl, Stefan Rutkowski, et al.. (2024). Twinning to reduce research and innovation inequalities in paediatric solid tumours across Europe. SHILAP Revista de lepidopterología. 3. 100153–100153.
7.
Bremmer, Felix, Gereon Poschmann, Catena Kresbach, et al.. (2024). Assessing the risk to develop a growing teratoma syndrome based on molecular and epigenetic subtyping as well as novel secreted biomarkers. Cancer Letters. 585. 216673–216673. 2 indexed citations
8.
Skowron, Margaretha A., Gereon Poschmann, Patrick Petzsch, et al.. (2024). Molecular and epigenetic ex vivo profiling of testis cancer-associated fibroblasts and their interaction with germ cell tumor cells and macrophages. Matrix Biology. 132. 10–23. 3 indexed citations
10.
Dottermusch, Matthias, et al.. (2024). Morphology‐based molecular classification of spinal cord ependymomas using deep neural networks. Brain Pathology. 34(5). e13239–e13239. 1 indexed citations
11.
Oing, Christoph, Susanne Burdak‐Rothkamm, Malik Alawi, et al.. (2023). Preclinical patient‐derived modeling of castration‐resistant prostate cancer facilitates individualized assessment of homologous recombination repair deficient disease. Molecular Oncology. 17(6). 1129–1147. 4 indexed citations
12.
Dottermusch, Matthias, Ulrich Schüller, Christian Hagel, & Wolfgang Saeger. (2022). Unveiling the identities of null cell tumours: Epigenomics corroborate subtle histological cues in pituitary neuroendocrine tumour/adenoma classification. Neuropathology and Applied Neurobiology. 49(1). e12870–e12870. 12 indexed citations
13.
Xu, Zhenhua, Najiba Murad, Daniel Malawsky, et al.. (2022). OLIG2 Is a Determinant for the Relapse of MYC -Amplified Medulloblastoma. Clinical Cancer Research. 28(19). 4278–4291. 6 indexed citations
14.
Schweizer, Leonille, Philipp Seegerer, Anja Osterloh, et al.. (2022). Analysing cerebrospinal fluid with explainable deep learning: From diagnostics to insights. Neuropathology and Applied Neurobiology. 49(1). e12866–e12866. 4 indexed citations
15.
Drexler, Richard, Ulrich Schüller, Katharina Filipski, et al.. (2022). DNA methylation subclasses predict the benefit from gross total tumor resection in IDH-wildtype glioblastoma patients. Neuro-Oncology. 25(2). 315–325. 37 indexed citations
16.
Gessi, Marco, Nicolas U. Gerber, Carsten Friedrich, et al.. (2021). Treatment of embryonal tumors with multilayered rosettes with carboplatin/etoposide induction and high-dose chemotherapy within the prospective P-HIT trial. Neuro-Oncology. 24(1). 127–137. 9 indexed citations
17.
Bockmayr, Michael, Frederick Klauschen, Cécile L. Maire, et al.. (2019). Immunologic Profiling of Mutational and Transcriptional Subgroups in Pediatric and Adult High-Grade Gliomas. Cancer Immunology Research. 7(9). 1401–1411. 27 indexed citations
18.
Wojtaś, Bartosz, Bartłomiej Gielniewski, Kamil Wojnicki, et al.. (2019). Gliosarcoma Is Driven by Alterations in PI3K/Akt, RAS/MAPK Pathways and Characterized by Collagen Gene Expression Signature. Cancers. 11(3). 284–284. 18 indexed citations
19.
Ahlfeld, Julia, Rebecca Favaro, Pierfrancesco Pagella, et al.. (2013). Sox2 Requirement in Sonic Hedgehog-Associated Medulloblastoma. Cancer Research. 73(12). 3796–3807. 57 indexed citations
20.
Pöschl, Julia, André O. von Bueren, Yoon‐Jae Cho, et al.. (2011). Expression of FoxM1 Is Required for the Proliferation of Medulloblastoma Cells and Indicates Worse Survival of Patients. Clinical Cancer Research. 17(21). 6791–6801. 60 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026