Michael Murek

1.8k total citations
47 papers, 1.2k citations indexed

About

Michael Murek is a scholar working on Neurology, Genetics and Surgery. According to data from OpenAlex, Michael Murek has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 13 papers in Genetics and 12 papers in Surgery. Recurrent topics in Michael Murek's work include Glioma Diagnosis and Treatment (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers) and Neurosurgical Procedures and Complications (6 papers). Michael Murek is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers) and Neurosurgical Procedures and Complications (6 papers). Michael Murek collaborates with scholars based in Switzerland, United States and Spain. Michael Murek's co-authors include Andreas Raabe, Jürgen Beck, Philippe Schucht, Kathleen Seidel, Sascha Kopic, John P. Geibel, Christian Fung, Lennart Stieglitz, Werner J. Z’Graggen and Astrid Jilch and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Michael Murek

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Murek Switzerland 20 453 394 295 257 253 47 1.2k
Qun Wang China 15 269 0.6× 236 0.6× 198 0.7× 63 0.2× 64 0.3× 51 998
Luigi Cirillo Italy 18 503 1.1× 58 0.1× 147 0.5× 48 0.2× 120 0.5× 95 1.1k
Chao Ma China 21 81 0.2× 108 0.3× 182 0.6× 103 0.4× 159 0.6× 120 1.3k
Michael Yu United States 16 61 0.1× 146 0.4× 99 0.3× 28 0.1× 72 0.3× 59 1.0k
Yongning Li China 14 90 0.2× 135 0.3× 171 0.6× 32 0.1× 155 0.6× 49 676
Rong Hu China 12 164 0.4× 98 0.2× 78 0.3× 48 0.2× 56 0.2× 36 878
Ann‐Shung Lieu Taiwan 17 296 0.7× 67 0.2× 89 0.3× 22 0.1× 100 0.4× 58 768
Jun Fan China 20 68 0.2× 273 0.7× 252 0.9× 21 0.1× 239 0.9× 99 1.3k
Yimeng Chen China 19 158 0.3× 40 0.1× 122 0.4× 28 0.1× 101 0.4× 65 1.1k
Sarah Gheuens United States 18 118 0.3× 387 1.0× 162 0.5× 23 0.1× 220 0.9× 53 1.5k

Countries citing papers authored by Michael Murek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Murek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Murek

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Murek. A scholar is included among the top collaborators of Michael Murek 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 Michael Murek. Michael Murek 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.
2.
Trivik-Barrientos, Felipe, et al.. (2024). Applied deep learning in neurosurgery: identifying cerebrospinal fluid (CSF) shunt systems in hydrocephalus patients. Acta Neurochirurgica. 166(1). 69–69. 6 indexed citations
3.
Murek, Michael, Johannes Goldberg, Mandy D. Müller, et al.. (2024). Training Performance Assessment for Intracranial Aneurysm Clipping Surgery Using a Patient-Specific Mixed-Reality Simulator: A Learning Curve Study. Operative Neurosurgery. 26(6). 727–736. 3 indexed citations
4.
Murek, Michael, et al.. (2024). European survey on follow-up strategies for unruptured intracranial aneurysms. SHILAP Revista de lepidopterología. 4. 102864–102864.
5.
Goldberg, Johannes, David Miller, Timothy Müller, et al.. (2023). Intraoperative Laser Speckle Contrast Imaging to Assess Vessel Flow in Neurosurgery: A Pilot Study. Neurosurgery. 94(5). 983–992. 3 indexed citations
6.
Schucht, Philippe, et al.. (2023). Exploring Novel Innovation Strategies to Close a Technology Gap in Neurosurgery: HORAO Crowdsourcing Campaign. Journal of Medical Internet Research. 25. e42723–e42723. 1 indexed citations
7.
Pérez-Beteta, Julián, et al.. (2023). Overcoming chemotherapy resistance in low-grade gliomas: A computational approach. PLoS Computational Biology. 19(11). e1011208–e1011208. 7 indexed citations
8.
9.
Schucht, Philippe, et al.. (2021). Optimal Combinations of Chemotherapy and Radiotherapy in Low-Grade Gliomas: A Mathematical Approach. Journal of Personalized Medicine. 11(10). 1036–1036. 16 indexed citations
10.
Schucht, Philippe, et al.. (2020). Exploring Novel Funding Strategies for Innovative Medical Research: The HORAO Crowdfunding Campaign. Journal of Medical Internet Research. 22(11). e19715–e19715. 14 indexed citations
11.
Pérez-Garcı́a, Victor M., Juan Belmonte-Beitia, Philippe Schucht, et al.. (2019). Computational design of improved standardized chemotherapy protocols for grade II oligodendrogliomas. PLoS Computational Biology. 15(7). e1006778–e1006778. 23 indexed citations
12.
Bogdańska, Magdalena, Marek Bodnar, Monika Joanna Piotrowska, et al.. (2017). A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications. PLoS ONE. 12(8). e0179999–e0179999. 30 indexed citations
13.
Andereggen, Lukas, Jürgen Beck, Werner J. Z’Graggen, et al.. (2016). Feasibility and Safety of Repeat Instant Endovascular Interventions in Patients with Refractory Cerebral Vasospasms. American Journal of Neuroradiology. 38(3). 561–567. 27 indexed citations
14.
Fung, Christian, Michael Murek, Pascal P. Klinger-Gratz, et al.. (2016). Effect of Decompressive Craniectomy on Perihematomal Edema in Patients with Intracerebral Hemorrhage. PLoS ONE. 11(2). e0149169–e0149169. 22 indexed citations
15.
Schucht, Philippe, Kathleen Seidel, Jürgen Beck, et al.. (2014). Intraoperative monopolar mapping during 5-ALA–guided resections of glioblastomas adjacent to motor eloquent areas: evaluation of resection rates and neurological outcome. Neurosurgical FOCUS. 37(6). E16–E16. 86 indexed citations
16.
Stieglitz, Lennart, Nicolas Gerber, Thomas Schmid, et al.. (2014). Intraoperative fabrication of patient-specific moulded implants for skull reconstruction: single-centre experience of 28 cases. Acta Neurochirurgica. 156(4). 793–803. 19 indexed citations
17.
Dützmann, Stephan, Bawarjan Schatlo, Alexander Lobrinus, et al.. (2013). A multi-center retrospective analysis of treatment effects and quality of life in adult patients with cranial ependymomas. Journal of Neuro-Oncology. 114(3). 319–327. 16 indexed citations
18.
Schucht, Philippe, Jürgen Beck, Lukas Andereggen, et al.. (2012). Gross Total Resection Rates in Contemporary Glioblastoma Surgery. Neurosurgery. 71(5). 927–936. 150 indexed citations
19.
Kopic, Sascha, Stefanie Corradini, Shafik Sidani, et al.. (2010). Ethanol Inhibits Gastric Acid Secretion in Rats Through Increased AMP-Kinase Activity. Cellular Physiology and Biochemistry. 25(2-3). 195–202. 22 indexed citations
20.
Sidani, Shafik, Sascha Kopic, Thenral Socrates, et al.. (2009). AMP-activated protein kinase: a physiological off switch for murine gastric acid secretion. Pflügers Archiv - European Journal of Physiology. 459(1). 39–46. 17 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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