Thomas Roetzer-Pejrimovsky

1.1k total citations
37 papers, 444 citations indexed

About

Thomas Roetzer-Pejrimovsky is a scholar working on Genetics, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thomas Roetzer-Pejrimovsky has authored 37 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 13 papers in Biomedical Engineering and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thomas Roetzer-Pejrimovsky's work include Glioma Diagnosis and Treatment (23 papers), Nanoplatforms for cancer theranostics (10 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Thomas Roetzer-Pejrimovsky is often cited by papers focused on Glioma Diagnosis and Treatment (23 papers), Nanoplatforms for cancer theranostics (10 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Thomas Roetzer-Pejrimovsky collaborates with scholars based in Austria, United States and Germany. Thomas Roetzer-Pejrimovsky's co-authors include Georg Widhalm, Barbara Kiesel, Julia Furtner, Adelheid Wöehrer, Stefan Wolfsberger, Mario Mischkulnig, Matthias Millesi, Engelbert Knosp, Matthias Preusser and Johanna Gesperger and has published in prestigious journals such as NeuroImage, Journal of neurosurgery and Neurosurgery.

In The Last Decade

Thomas Roetzer-Pejrimovsky

33 papers receiving 437 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Roetzer-Pejrimovsky Austria 13 242 174 109 98 65 37 444
Aria Jamshidi United States 11 210 0.9× 103 0.6× 77 0.7× 78 0.8× 64 1.0× 44 524
Mario Mischkulnig Austria 11 271 1.1× 186 1.1× 68 0.6× 125 1.3× 122 1.9× 35 412
Lorenzo Gay Italy 14 264 1.1× 44 0.3× 175 1.6× 73 0.7× 147 2.3× 23 523
Zhongping Chen China 10 111 0.5× 56 0.3× 163 1.5× 58 0.6× 54 0.8× 34 393
J. Pearlman United States 8 248 1.0× 50 0.3× 148 1.4× 187 1.9× 59 0.9× 9 500
Abudumijiti Aibaidula China 12 253 1.0× 46 0.3× 197 1.8× 69 0.7× 40 0.6× 22 459
Daniel Rueß Germany 14 162 0.7× 62 0.4× 157 1.4× 188 1.9× 152 2.3× 48 548
Ralf Floca Germany 17 144 0.6× 44 0.3× 403 3.7× 147 1.5× 44 0.7× 39 688
Bethania Fernandes Italy 14 173 0.7× 32 0.2× 177 1.6× 75 0.8× 35 0.5× 34 536
Renske Gahrmann Netherlands 5 306 1.3× 29 0.2× 231 2.1× 96 1.0× 89 1.4× 14 405

Countries citing papers authored by Thomas Roetzer-Pejrimovsky

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Roetzer-Pejrimovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Roetzer-Pejrimovsky. 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 Thomas Roetzer-Pejrimovsky. The network helps show where Thomas Roetzer-Pejrimovsky may publish in the future.

Co-authorship network of co-authors of Thomas Roetzer-Pejrimovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Roetzer-Pejrimovsky. A scholar is included among the top collaborators of Thomas Roetzer-Pejrimovsky 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 Thomas Roetzer-Pejrimovsky. Thomas Roetzer-Pejrimovsky 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.
Kiesel, Barbara, Martin Borkovec, Julia Furtner, et al.. (2025). Sex-specific differences in DNA methylation defining prognostically relevant subgroups in glioblastoma. Journal of neurosurgery. 143(1). 204–213.
2.
Hangel, Gilbert, Julia Furtner, Lukas Hingerl, et al.. (2025). High-Resolution Mapping of Tumor and Peritumoral Glutamate and Glutamine in Gliomas Using 7-T MRSI. Radiology Imaging Cancer. 7(5). e240494–e240494.
3.
Reichert, David, Marco Andreana, Angelika Unterhuber, et al.. (2024). Analysis of the Porphyrin Peak Shift and Fluorescence Lifetime in Gliomas with Different Tumor Grades, Intratumoral Regions, and Visible Fluorescence Status. Diagnostics. 14(23). 2651–2651.
4.
Rahman, M. Azizur, Stephan Pauleit, Thomas Roetzer-Pejrimovsky, et al.. (2024). A Systems Perspective on the Interactions Between Urban Green Infrastructure and the Built Environment. IOP Conference Series Earth and Environmental Science. 1363(1). 12071–12071. 1 indexed citations
5.
Roetzer-Pejrimovsky, Thomas, Karl‐Heinz Nenning, Barbara Kiesel, et al.. (2024). Deep learning links localized digital pathology phenotypes with transcriptional subtype and patient outcome in glioblastoma. GigaScience. 13. 5 indexed citations
6.
Kiesel, Barbara, Mario Mischkulnig, Anna S. Berghoff, et al.. (2023). Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis. Journal of Neuro-Oncology. 164(1). 211–220. 5 indexed citations
7.
Reichert, David, Lisa I. Wadiura, Johanna Gesperger, et al.. (2023). Flavin fluorescence lifetime and autofluorescence optical redox ratio for improved visualization and classification of brain tumors. Frontiers in Oncology. 13. 1105648–1105648. 11 indexed citations
8.
Reichert, David, Johanna Gesperger, Lisa I. Wadiura, et al.. (2022). Improved Protoporphyrin IX-Guided Neurosurgical Tumor Detection with Frequency-Domain Fluorescence Lifetime Imaging. Applied Sciences. 12(3). 1002–1002. 3 indexed citations
9.
Wadiura, Lisa I., Barbara Kiesel, Thomas Roetzer-Pejrimovsky, et al.. (2022). Toward digital histopathological assessment in surgery for central nervous system tumors using stimulated Raman histology. Neurosurgical FOCUS. 53(6). E12–E12. 3 indexed citations
10.
Klotz, Sigrid, Thomas Roetzer-Pejrimovsky, Bernhard Baumann, et al.. (2022). OS02.5.A Alzheimer-type neuropathological changes in glioblastoma-adjacent cortex. Neuro-Oncology. 24(Supplement_2). ii11–ii11. 1 indexed citations
11.
Millesi, Matthias, et al.. (2022). Clinico-pathologic predictors of dismal course in atypical meningiomas: a retrospective single-centre analysis. Journal of Neurosurgical Sciences. 68(5). 551–557. 1 indexed citations
12.
Roetzer-Pejrimovsky, Thomas, Ellen Gelpí, Christine Haberler, et al.. (2022). The Digital Brain Tumour Atlas, an open histopathology resource. Scientific Data. 9(1). 55–55. 29 indexed citations
13.
Marhold, Franz, Thomas Roetzer-Pejrimovsky, Mario Mischkulnig, et al.. (2022). Does pigmentation, hemosiderin and blood effect visible 5-ALA fluorescence in cerebral melanoma metastasis?. Photodiagnosis and Photodynamic Therapy. 39. 102864–102864. 5 indexed citations
14.
Hosmann, Arthur, Matthias Millesi, Lisa I. Wadiura, et al.. (2021). 5-ALA Fluorescence Is a Powerful Prognostic Marker during Surgery of Low-Grade Gliomas (WHO Grade II)—Experience at Two Specialized Centers. Cancers. 13(11). 2540–2540. 28 indexed citations
15.
16.
Mischkulnig, Mario, Barbara Kiesel, Daniela Lötsch, et al.. (2021). Heme Biosynthesis mRNA Expression Signature: Towards a Novel Prognostic Biomarker in Patients with Diffusely Infiltrating Gliomas. Cancers. 13(4). 662–662. 5 indexed citations
17.
Reichert, David, Gerhard Holst, Wolfgang Drexler, et al.. (2020). Towards real-time wide-field fluorescence lifetime imaging of 5-ALA labeled brain tumors with multi-tap CMOS cameras. Biomedical Optics Express. 11(3). 1598–1598. 13 indexed citations
18.
Hosmann, Arthur, Alexander Micko, Josa M. Frischer, et al.. (2019). Multiple Pituitary Apoplexy—Cavernous Sinus Invasion as Major Risk Factor for Recurrent Hemorrhage. World Neurosurgery. 126. e723–e730. 8 indexed citations
19.
Kiesel, Barbara, Matthias Millesi, Adelheid Wöehrer, et al.. (2018). 5-ALA–induced fluorescence as a marker for diagnostic tissue in stereotactic biopsies of intracranial lymphomas: experience in 41 patients. Neurosurgical FOCUS. 44(6). E7–E7. 44 indexed citations
20.
Roetzer-Pejrimovsky, Thomas, Julia Furtner, Marco Augustin, et al.. (2018). Evaluating cellularity and structural connectivity on whole brain slides using a custom-made digital pathology pipeline. Journal of Neuroscience Methods. 311. 215–221. 9 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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