David Reuß

15.2k total citations · 1 hit paper
58 papers, 2.6k citations indexed

About

David Reuß is a scholar working on Genetics, Neurology and Molecular Biology. According to data from OpenAlex, David Reuß has authored 58 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 22 papers in Neurology and 20 papers in Molecular Biology. Recurrent topics in David Reuß's work include Glioma Diagnosis and Treatment (25 papers), Neurofibromatosis and Schwannoma Cases (15 papers) and Sarcoma Diagnosis and Treatment (9 papers). David Reuß is often cited by papers focused on Glioma Diagnosis and Treatment (25 papers), Neurofibromatosis and Schwannoma Cases (15 papers) and Sarcoma Diagnosis and Treatment (9 papers). David Reuß collaborates with scholars based in Germany, United States and Switzerland. David Reuß's co-authors include Andreas von Deimling, Christel Herold‐Mende, Felix Sahm, Wolfgang Wick, David Capper, Stefan M. Pfister, Christian Koelsche, Michael Weller, Jens Schittenhelm and Daniel Schrimpf and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

David Reuß

56 papers receiving 2.6k citations

Hit Papers

EANO guideline on the diagnosis and treatment of vestibul... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Reuß Germany 25 1.3k 796 754 637 625 58 2.6k
Melike Pekmezci United States 28 1.4k 1.1× 556 0.7× 1.3k 1.7× 600 0.9× 744 1.2× 101 4.0k
David Meyronet France 27 1.0k 0.8× 609 0.8× 878 1.2× 394 0.6× 395 0.6× 115 2.6k
Masayuki Kanamori Japan 28 1.5k 1.2× 504 0.6× 677 0.9× 406 0.6× 509 0.8× 164 2.5k
Christine Haberler Austria 30 891 0.7× 750 0.9× 1.2k 1.6× 281 0.4× 348 0.6× 98 2.6k
Patrick N. Harter Germany 38 1.5k 1.1× 476 0.6× 1.9k 2.5× 611 1.0× 655 1.0× 181 4.8k
Dietmar Krex Germany 32 2.2k 1.7× 496 0.6× 2.1k 2.8× 450 0.7× 946 1.5× 84 4.5k
Joon H. Uhm United States 37 2.1k 1.6× 527 0.7× 1.7k 2.2× 500 0.8× 764 1.2× 127 4.4k
Aliasgar Moiyadi India 26 940 0.7× 266 0.3× 802 1.1× 404 0.6× 349 0.6× 167 2.3k
Naoki Shinojima Japan 26 1.3k 1.0× 363 0.5× 1.3k 1.7× 720 1.1× 283 0.5× 80 3.0k
Michael A. Vogelbaum United States 31 1.4k 1.1× 749 0.9× 536 0.7× 1.4k 2.2× 1.3k 2.0× 87 3.5k

Countries citing papers authored by David Reuß

Since Specialization
Citations

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

Fields of papers citing papers by David Reuß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Reuß

This figure shows the co-authorship network connecting the top 25 collaborators of David Reuß. A scholar is included among the top collaborators of David Reuß 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 David Reuß. David Reuß 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.
Hsieh, Annie L., David Reuß, Andreas Unterberg, et al.. (2024). A multi-center, clinical analysis of IDH-mutant gliomas, WHO Grade 4: implications for prognosis and clinical trial design. Journal of Neuro-Oncology. 171(2). 373–381. 2 indexed citations
2.
Reuß, David. (2023). Updates on the WHO diagnosis of IDH-mutant glioma. Journal of Neuro-Oncology. 162(3). 461–469. 24 indexed citations
3.
Kilian, Samuel, Jessica Jesser, David Reuß, et al.. (2023). Risk Estimation in Non-Enhancing Glioma: Introducing a Clinical Score. Cancers. 15(9). 2503–2503.
4.
Reuß, David, Susanna M. Downing, Cristel V. Camacho, et al.. (2023). Simultaneous Nbs1 and p53 inactivation in neural progenitors triggers high‐grade gliomas. Neuropathology and Applied Neurobiology. 49(4). e12915–e12915. 2 indexed citations
5.
Reuß, David, Daniel Schrimpf, Damian Stichel, et al.. (2023). Reference on copy number variations in pleomorphic xanthoastrocytoma: Implications for diagnostic approach. SHILAP Revista de lepidopterología. 4. 19–19. 2 indexed citations
6.
Jayavelu, Ashok Kumar, Katharina Filipski, Annekathrin Reinhardt, et al.. (2022). HIP1R and vimentin immunohistochemistry predict 1p/19q status in IDH-mutant glioma. Neuro-Oncology. 24(12). 2121–2132. 7 indexed citations
7.
Buergy, Daniel, Nima Etminan, Stefanie Brehmer, et al.. (2022). Molecular features of glioblastomas in long-term survivors compared to short-term survivors—a matched-pair analysis. Radiation Oncology. 17(1). 15–15. 12 indexed citations
8.
Jungwirth, Gerhard, Miriam Ratliff, Ralf Ketter, et al.. (2022). Single-cell DNA sequencing reveals order of mutational acquisition in TRAF7/AKT1 and TRAF7/KLF4 mutant meningiomas. Acta Neuropathologica. 144(4). 799–802. 5 indexed citations
9.
Friedrich, Mirco, Katharina A.M. Lindner, Iris Mildenberger, et al.. (2021). Intrathecal activation of CD8 + memory T cells in IgG4‐related disease of the brain parenchyma. EMBO Molecular Medicine. 13(8). e13953–e13953. 8 indexed citations
10.
Möck, Andreas, Carmen Rapp, Steffen Dettling, et al.. (2020). Surfactant Expression Defines an Inflamed Subtype of Lung Adenocarcinoma Brain Metastases that Correlates with Prolonged Survival. Clinical Cancer Research. 26(9). 2231–2243. 23 indexed citations
11.
Rapp, Carmen, Steffen Dettling, David Reuß, et al.. (2020). Increased Radiation-Associated T-Cell Infiltration in Recurrent IDH-Mutant Glioma. International Journal of Molecular Sciences. 21(20). 7801–7801. 13 indexed citations
12.
Liermann, Jakob, Julia K. Winkler, Mustafa Syed, et al.. (2020). Stereotactic Radiosurgery With Concurrent Immunotherapy in Melanoma Brain Metastases Is Feasible and Effective. Frontiers in Oncology. 10. 592796–592796. 11 indexed citations
13.
Goldbrunner, Roland, Michael Weller, Jean Régis, et al.. (2019). EANO guideline on the diagnosis and treatment of vestibular schwannoma. Neuro-Oncology. 22(1). 31–45. 230 indexed citations breakdown →
14.
Dettling, Steffen, Slava Stamova, Rolf Warta, et al.. (2018). Identification of CRKII, CFL1, CNTN1, NME2, and TKT as Novel and Frequent T-Cell Targets in Human IDH-Mutant Glioma. Clinical Cancer Research. 24(12). 2951–2962. 22 indexed citations
15.
Katz, Leah, Thomas Hielscher, Benjamin Liechty, et al.. (2018). Loss of histone H3K27me3 identifies a subset of meningiomas with increased risk of recurrence. Acta Neuropathologica. 135(6). 955–963. 102 indexed citations
16.
Reuß, David, Antje Habel, Christian Hagenlocher, et al.. (2014). Neurofibromin specific antibody differentiates malignant peripheral nerve sheath tumors (MPNST) from other spindle cell neoplasms. Acta Neuropathologica. 127(4). 565–572. 33 indexed citations
18.
Hartmann, Christian, Armin Kurtz, Michael Baier, et al.. (2012). Impaired Pten Expression in Human Malignant Peripheral Nerve Sheath Tumours. PLoS ONE. 7(11). e47595–e47595. 42 indexed citations
19.
Reuß, David & Andreas von Deimling. (2009). Hereditary Tumor Syndromes and Gliomas. Recent results in cancer research. 171. 83–102. 40 indexed citations
20.
Holtkamp, Nikola, David Reuß, Isis Atallah, et al.. (2004). Subclassification of Nerve Sheath Tumors by Gene Expression Profiling. Brain Pathology. 14(3). 258–264. 32 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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