Richard Drexler

784 total citations
28 papers, 226 citations indexed

About

Richard Drexler is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Richard Drexler has authored 28 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 8 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Richard Drexler's work include Glioma Diagnosis and Treatment (13 papers), Meningioma and schwannoma management (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). Richard Drexler is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Meningioma and schwannoma management (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). Richard Drexler collaborates with scholars based in Germany, United States and Hungary. Richard Drexler's co-authors include Karl J. Oldhafer, Franz Ricklefs, Manfred Westphal, Lasse Dührsen, Ulrich Schüller, Katrin Lamszus, Kim C. Wagner, Thomas Sauvigny, Tim Reese and Moritz Kleine and has published in prestigious journals such as Nature, ACS Nano and Scientific Reports.

In The Last Decade

Richard Drexler

26 papers receiving 225 citations

Peers

Richard Drexler
Akanksha Sharma United States
Jennifer A. Wong United States
Shiao‐Pei Weathers United States
Silvina Pugliese United States
Sarah N. Gibbs United States
Kathryn Nevel United States
L. Brazil United Kingdom
Ashley Crook Australia
Akanksha Sharma United States
Richard Drexler
Citations per year, relative to Richard Drexler Richard Drexler (= 1×) peers Akanksha Sharma

Countries citing papers authored by Richard Drexler

Since Specialization
Citations

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

Fields of papers citing papers by Richard Drexler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Drexler

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Drexler. A scholar is included among the top collaborators of Richard Drexler 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 Richard Drexler. Richard Drexler 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.
Jütten, Kerstin, Julius M. Kernbach, Anke Meyer‐Baese, et al.. (2025). High peritumoral network connectedness in glioblastoma reveals a distinct epigenetic signature and is associated with decreased overall survival. Neuro-Oncology. 27(10). 2564–2573.
2.
Mohme, Malte, Lasse Dührsen, Dana Silverbush, et al.. (2025). Peripheral blood‐derived immune cell counts as prognostic indicators and their relationship with DNA methylation subclasses in glioblastoma patients. Brain Pathology. 35(4). e13334–e13334. 2 indexed citations
3.
Salviano‐Silva, Amanda, Santra Brenna, Rudolph Reimer, et al.. (2025). Extracellular Vesicles Carrying Tenascin-C are Clinical Biomarkers and Improve Tumor-Derived DNA Analysis in Glioblastoma Patients. ACS Nano. 19(10). 9844–9859. 6 indexed citations
4.
Drexler, Richard, Michael Lim, & Shawn L. Hervey‐Jumper. (2025). Molecular-based decision-making in glioblastoma surgery: When to aim for supramaximal resection. Neuro-Oncology. 27(6). 1434–1442. 2 indexed citations
5.
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
6.
Yalçın, Belgin, Matthew B. Pomrenze, Karen Malacon, et al.. (2024). Myelin plasticity in the ventral tegmental area is required for opioid reward. Nature. 630(8017). 677–685. 16 indexed citations
7.
Ricklefs, Franz, Amanda Salviano‐Silva, Richard Drexler, et al.. (2024). Circulating extracellular vesicles as biomarker for diagnosis, prognosis, and monitoring in glioblastoma patients. Neuro-Oncology. 26(7). 1280–1291. 18 indexed citations
8.
Hong, Christopher S., Jakob V. E. Gerstl, Richard Drexler, et al.. (2024). A multicenter study of clinical outcomes and volumetric trends in suspected microprolactinomas. Neurosurgical Review. 47(1). 703–703. 2 indexed citations
9.
Stefanits, Harald, Michael Giretzlehner, Richard Drexler, et al.. (2023). Machine learning based outcome prediction of microsurgically treated unruptured intracranial aneurysms. Scientific Reports. 13(1). 22641–22641. 8 indexed citations
10.
Drexler, Richard, Melanie Schoof, Nina Struve, et al.. (2023). Mean global DNA methylation serves as independent prognostic marker in IDH-wildtype glioblastoma. Neuro-Oncology. 26(3). 503–513. 10 indexed citations
11.
Drexler, Richard, Thomas Sauvigny, Ulrich Schüller, et al.. (2023). Epigenetic profiling reveals a strong association between lack of 5-ALA fluorescence and EGFR amplification in IDH-wildtype glioblastoma. Neuro-Oncology Practice. 10(5). 462–471. 1 indexed citations
12.
Rebchuk, Alexander D., Justin Z. Wang, Yosef Ellenbogen, et al.. (2023). Grade 3 meningioma survival and recurrence outcomes in an international multicenter cohort. Journal of neurosurgery. 140(2). 393–403. 9 indexed citations
13.
Drexler, Richard, Franz Ricklefs, Rainer Nitzschke, et al.. (2023). Association of the classification of intraoperative adverse events (ClassIntra) with complications and neurological outcome after neurosurgical procedures: a prospective cohort study. Acta Neurochirurgica. 165(8). 2015–2027. 2 indexed citations
14.
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
15.
Ricklefs, Franz, Richard Drexler, Dieter Henrik Heiland, et al.. (2022). DNA methylation subclass receptor tyrosine kinase II (RTK II) is predictive for seizure development in glioblastoma patients. Neuro-Oncology. 24(11). 1886–1897. 12 indexed citations
16.
Drexler, Richard, Kim C. Wagner, Tim Reese, et al.. (2020). The clinical relevance of the Hippo pathway in pancreatic ductal adenocarcinoma. Journal of Cancer Research and Clinical Oncology. 147(2). 373–391. 6 indexed citations
17.
Reese, Tim, Richard Drexler, Martin Schneider, et al.. (2020). Impact of acute kidney injury after extended liver resections. HPB. 23(7). 1000–1007. 14 indexed citations
18.
Drexler, Richard, Kim C. Wagner, Tim Reese, et al.. (2020). Association of subcellular localization of TEAD transcription factors with outcome and progression in pancreatic ductal adenocarcinoma. Pancreatology. 21(1). 170–179. 17 indexed citations
19.
Drexler, Richard, et al.. (2020). Involvement of Medical Students During the Coronavirus Disease 2019 Pandemic: A Cross-Sectional Survey Study. Cureus. 12(8). e10147–e10147. 34 indexed citations
20.
Drexler, Richard, et al.. (2020). Significance of unphosphorylated and phosphorylated heat shock protein 27 as a prognostic biomarker in pancreatic ductal adenocarcinoma. Journal of Cancer Research and Clinical Oncology. 146(5). 1125–1137. 4 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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