Mitchel S. Berger

91.3k total citations · 16 hit papers
718 papers, 51.1k citations indexed

About

Mitchel S. Berger is a scholar working on Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mitchel S. Berger has authored 718 papers receiving a total of 51.1k indexed citations (citations by other indexed papers that have themselves been cited), including 405 papers in Genetics, 195 papers in Epidemiology and 156 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mitchel S. Berger's work include Glioma Diagnosis and Treatment (404 papers), Meningioma and schwannoma management (176 papers) and Brain Metastases and Treatment (71 papers). Mitchel S. Berger is often cited by papers focused on Glioma Diagnosis and Treatment (404 papers), Meningioma and schwannoma management (176 papers) and Brain Metastases and Treatment (71 papers). Mitchel S. Berger collaborates with scholars based in United States, Germany and Netherlands. Mitchel S. Berger's co-authors include Nader Sanai, Susan M. Chang, Andrew T. Parsa, Michael W. McDermott, George A. Ojemann, Edward F. Chang, Shawn L. Hervey‐Jumper, Kathleen R. Lamborn, Ettore Lettich and Michael D. Prados and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Mitchel S. Berger

695 papers receiving 50.2k citations

Hit Papers

High Gamma Power Is Phase-Locked to Theta Osci... 1989 2026 2001 2013 2006 2011 1989 2004 2008 500 1000 1.5k

Peers

Mitchel S. Berger
Michael Chopp United States
David W. Ellison United States
Paul Kleihues Switzerland
A. Gregory Sorensen United States
Bernd W. Scheithauer United States
Mitchel S. Berger
Citations per year, relative to Mitchel S. Berger Mitchel S. Berger (= 1×) peers Otmar D. Wiestler

Countries citing papers authored by Mitchel S. Berger

Since Specialization
Citations

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

Fields of papers citing papers by Mitchel S. Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchel S. Berger. 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 Mitchel S. Berger. The network helps show where Mitchel S. Berger may publish in the future.

Co-authorship network of co-authors of Mitchel S. Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchel S. Berger. A scholar is included among the top collaborators of Mitchel S. Berger 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 Mitchel S. Berger. Mitchel S. Berger 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.
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.
2.
Goyal, Anshit, et al.. (2024). Interventional neurorehabilitation for glioma patients: A systematic review. Neuro-Oncology Practice. 11(6). 679–690. 2 indexed citations
3.
Gibson, David R., Eduardo A. Rodríguez, Susan M. Chang, et al.. (2023). Quantitative analysis of MGMT promoter methylation in glioblastoma suggests nonlinear prognostic effect. Neuro-Oncology Advances. 5(1). vdad115–vdad115. 6 indexed citations
4.
Young, Jacob S., et al.. (2023). Advances in Intraoperative Glioma Tissue Sampling and Infiltration Assessment. Brain Sciences. 13(12). 1637–1637. 1 indexed citations
5.
Gerritsen, Jasper K W, Marike L. D. Broekman, Steven De Vleeschouwer, et al.. (2022). Safe surgery for glioblastoma: Recent advances and modern challenges. Neuro-Oncology Practice. 9(5). 364–379. 42 indexed citations
6.
Aabedi, Alexander A., Benjamin Lipkin, Sofia Kakaizada, et al.. (2021). Functional alterations in cortical processing of speech in glioma-infiltrated cortex. Proceedings of the National Academy of Sciences. 118(46). 32 indexed citations
7.
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
8.
Chandra, Ankush, Michael G. Brandel, Harsh Wadhwa, et al.. (2020). The Path to U.S. Neurosurgical Residency for Foreign Medical Graduates: Trends from a Decade 2007–2017. World Neurosurgery. 137. e584–e596. 32 indexed citations
9.
Gu, Irene Yu‐Hua, Mitchel S. Berger, Johan Pallud, et al.. (2020). Domain Mapping and Deep Learning from Multiple MRI Clinical Datasets for Prediction of Molecular Subtypes in Low Grade Gliomas. Brain Sciences. 10(7). 463–463. 28 indexed citations
10.
Osorio, Joseph A., et al.. (2018). Cost-effectiveness development for the postoperative care of craniotomy patients: a safe transitions pathway in neurological surgery. Neurosurgical FOCUS. 44(5). E19–E19. 15 indexed citations
11.
Olow, Aleksandra, Sabine Mueller, Xiao-Dong Yang, et al.. (2016). BRAF Status in Personalizing Treatment Approaches for Pediatric Gliomas. Clinical Cancer Research. 22(21). 5312–5321. 33 indexed citations
12.
Lerner, Robin G., Banafsheh Kadkhodaei, Maxim Sidorov, et al.. (2015). Targeting a Plk1-Controlled Polarity Checkpoint in Therapy-Resistant Glioblastoma-Propagating Cells. Cancer Research. 75(24). 5355–5366. 33 indexed citations
13.
Maly, Dustin J., Yvan H. Chanthery, Daniel W. Sirkis, et al.. (2014). Radiotherapy Followed by Aurora Kinase Inhibition Targets Tumor-Propagating Cells in Human Glioblastoma. Molecular Cancer Therapeutics. 14(2). 419–428. 23 indexed citations
14.
Crane, Courtney A., Seunggu J. Han, Brian Ahn, et al.. (2012). Individual Patient-Specific Immunity against High-Grade Glioma after Vaccination with Autologous Tumor Derived Peptides Bound to the 96 KD Chaperone Protein. Clinical Cancer Research. 19(1). 205–214. 150 indexed citations
15.
Schiffman, Joshua D., John Hodgson, Scott R. VandenBerg, et al.. (2010). Oncogenic BRAF Mutation with CDKN2A Inactivation Is Characteristic of a Subset of Pediatric Malignant Astrocytomas. Cancer Research. 70(2). 512–519. 185 indexed citations
16.
Zhu, Xiaodong, Scott Bidlingmaier, Rintaro Hashizume, et al.. (2010). Identification of Internalizing Human Single-Chain Antibodies Targeting Brain Tumor Sphere Cells. Molecular Cancer Therapeutics. 9(7). 2131–2141. 34 indexed citations
17.
Dinca, Eduard B., Kan Lu, Jann N. Sarkaria, et al.. (2008). p53 Small-Molecule Inhibitor Enhances Temozolomide Cytotoxic Activity against Intracranial Glioblastoma Xenografts. Cancer Research. 68(24). 10034–10039. 42 indexed citations
18.
Sanai, Nader, Zaman Mirzadeh, & Mitchel S. Berger. (2008). Functional Outcome after Language Mapping for Glioma Resection. New England Journal of Medicine. 358(1). 18–27. 748 indexed citations breakdown →
19.
Panner, Amith, Jean L. Nakamura, Andrew T. Parsa, et al.. (2006). mTOR-Independent Translational Control of the Extrinsic Cell Death Pathway by RalA. Molecular and Cellular Biology. 26(20). 7345–7357. 23 indexed citations
20.
Quiñones‐Hinojosa, Alfredo, Nader Sanai, Mario Soriano‐Navarro, et al.. (2005). Cellular composition and cytoarchitecture of the adult human subventricular zone: A niche of neural stem cells. The Journal of Comparative Neurology. 494(3). 415–434. 435 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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