Gerhard Jungwirth

531 total citations
18 papers, 214 citations indexed

About

Gerhard Jungwirth is a scholar working on Neurology, Epidemiology and Genetics. According to data from OpenAlex, Gerhard Jungwirth has authored 18 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Gerhard Jungwirth's work include Meningioma and schwannoma management (7 papers), Glioma Diagnosis and Treatment (6 papers) and Neurofibromatosis and Schwannoma Cases (6 papers). Gerhard Jungwirth is often cited by papers focused on Meningioma and schwannoma management (7 papers), Glioma Diagnosis and Treatment (6 papers) and Neurofibromatosis and Schwannoma Cases (6 papers). Gerhard Jungwirth collaborates with scholars based in Germany, Egypt and United States. Gerhard Jungwirth's co-authors include Christel Herold‐Mende, Andreas Unterberg, Rolf Warta, Sibylle Madlener, Thomas Ströbel, Okay Saydam, Daniel Senfter, Nurten Saydam, Erdoğan Pekcan Erkan and Amir Abdollahi and has published in prestigious journals such as Clinical Cancer Research, Acta Neuropathologica and Cancer Letters.

In The Last Decade

Gerhard Jungwirth

14 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerhard Jungwirth Germany 9 113 62 54 49 38 18 214
Sho Tamai Japan 10 93 0.8× 55 0.9× 85 1.6× 13 0.3× 39 1.0× 25 237
Leire Pedrosa Spain 8 81 0.7× 58 0.9× 33 0.6× 23 0.5× 27 0.7× 29 240
Lisa Storer United Kingdom 10 145 1.3× 57 0.9× 149 2.8× 28 0.6× 44 1.2× 18 280
Hsiang‐Chih Lu United States 8 142 1.3× 18 0.3× 73 1.4× 54 1.1× 76 2.0× 23 290
Ilse Zondervan Netherlands 5 212 1.9× 62 1.0× 46 0.9× 23 0.5× 14 0.4× 6 291
Dominique Figarella-Branger France 6 70 0.6× 49 0.8× 121 2.2× 25 0.5× 44 1.2× 8 191
Katharine Chen United States 4 85 0.8× 58 0.9× 98 1.8× 14 0.3× 39 1.0× 5 169
Lin Luo China 10 208 1.8× 116 1.9× 118 2.2× 31 0.6× 20 0.5× 16 304
Yen Tran United States 5 148 1.3× 48 0.8× 13 0.2× 25 0.5× 31 0.8× 5 238

Countries citing papers authored by Gerhard Jungwirth

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Jungwirth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Jungwirth

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Jungwirth. A scholar is included among the top collaborators of Gerhard Jungwirth 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 Gerhard Jungwirth. Gerhard Jungwirth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Cao, Junguo, Gerhard Jungwirth, Andreas von Deimling, et al.. (2025). Use of Tissue Specimens from Stereotactic Biopsies for Patient-Derived GBM Organoid-Based Drug Testing. Cells. 14(10). 701–701.
2.
Mäurer, M., Kianush Karimian‐Jazi, Martin Jakobs, et al.. (2025). LINNDA: Lymphoma identification through neural network detection aid. iScience. 28(12). 114153–114153.
3.
Held, Thomas, Christel Herold‐Mende, Andreas Unterberg, et al.. (2025). High-grade, metastatic disease, and adjuvant radiotherapy are independent prognostic factors for progression-free survival in patients with solitary fibrous tumors. Neuro-Oncology Advances. 7(1). vdaf077–vdaf077.
4.
Jungwirth, Gerhard, Rolf Warta, Amir Abdollahi, et al.. (2024). EXTH-54. COMBINATORIAL DRUG SCREENING IDENTIFIES CARFILZOMIB AND ENZALUTAMIDE FOR TREATING AGGRESSIVE MENINGIOMAS. Neuro-Oncology. 26(Supplement_8). viii249–viii249.
5.
6.
Warta, Rolf, Carmen Rapp, Maximilian Knoll, et al.. (2023). Effective Reprogramming of Patient-Derived M2-Polarized Glioblastoma-Associated Microglia/Macrophages by Treatment with GW2580. Clinical Cancer Research. 29(22). 4685–4697. 24 indexed citations
7.
Jungwirth, Gerhard, C. Oliver Hanemann, Ian F. Dunn, & Christel Herold‐Mende. (2023). Preclinical Models of Meningioma. Advances in experimental medicine and biology. 1416. 199–211. 2 indexed citations
8.
Jungwirth, Gerhard, et al.. (2023). Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps. 322–333. 1 indexed citations
9.
Jungwirth, Gerhard, Tao Yu, Junguo Cao, et al.. (2022). Pharmacological Landscape of FDA-Approved Anticancer Drugs Reveals Sensitivities to Ixabepilone, Romidepsin, Omacetaxine, and Carfilzomib in Aggressive Meningiomas. Clinical Cancer Research. 29(1). 233–243. 10 indexed citations
10.
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
11.
Herold‐Mende, Christel, et al.. (2022). MODL-04. ESTABLISHMENT OF A RELIABLE GLIOBLASTOMA TUMOR-ORGANOID PLATFORM ENABLES AUTOMATED HIGH-THROUGHPUT DRUG SCREENING ADVANCING PERSONALIZED MEDICINE. Neuro-Oncology. 24(Supplement_7). vii291–vii291. 1 indexed citations
12.
Jungwirth, Gerhard, Tao Yu, Junguo Cao, et al.. (2021). KIF11 inhibitors filanesib and ispinesib inhibit meningioma growth in vitro and in vivo. Cancer Letters. 506. 1–10. 21 indexed citations
13.
Yu, Tao, Junguo Cao, Mahmoud Moustafa, et al.. (2021). Receptor-Tyrosine Kinase Inhibitor Ponatinib Inhibits Meningioma Growth In Vitro and In Vivo. Cancers. 13(23). 5898–5898. 10 indexed citations
14.
Jungwirth, Gerhard, Tao Yu, Stefan Pusch, et al.. (2020). Large-Scale Drug Screening in Patient-Derived IDHmut Glioma Stem Cells Identifies Several Efficient Drugs among FDA-Approved Antineoplastic Agents. Cells. 9(6). 1389–1389. 17 indexed citations
15.
Jungwirth, Gerhard, Rolf Warta, Christopher Beynon, et al.. (2019). Intraventricular meningiomas frequently harbor NF2 mutations but lack common genetic alterations in TRAF7, AKT1, SMO, KLF4, PIK3CA, and TERT. Acta Neuropathologica Communications. 7(1). 140–140. 25 indexed citations
16.
Jungwirth, Gerhard, Tao Yu, Mahmoud Moustafa, et al.. (2019). Identification of KIF11 as a Novel Target in Meningioma. Cancers. 11(4). 545–545. 37 indexed citations
17.
Senfter, Daniel, Erdoğan Pekcan Erkan, Erdener Özer, et al.. (2017). Overexpression of minichromosome maintenance protein 10 in medulloblastoma and its clinical implications. Pediatric Blood & Cancer. 64(12). 8 indexed citations
18.
Erkan, Erdoğan Pekcan, Daniel Senfter, Sibylle Madlener, et al.. (2016). Extracellular vesicle-mediated suicide mRNA/protein delivery inhibits glioblastoma tumor growth in vivo. Cancer Gene Therapy. 24(1). 38–44. 47 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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