Benjamin M. Ellingson

17.8k total citations · 3 hit papers
304 papers, 8.3k citations indexed

About

Benjamin M. Ellingson is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Benjamin M. Ellingson has authored 304 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 205 papers in Radiology, Nuclear Medicine and Imaging, 167 papers in Genetics and 41 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Benjamin M. Ellingson's work include Glioma Diagnosis and Treatment (167 papers), MRI in cancer diagnosis (94 papers) and Advanced Neuroimaging Techniques and Applications (75 papers). Benjamin M. Ellingson is often cited by papers focused on Glioma Diagnosis and Treatment (167 papers), MRI in cancer diagnosis (94 papers) and Advanced Neuroimaging Techniques and Applications (75 papers). Benjamin M. Ellingson collaborates with scholars based in United States, Japan and Switzerland. Benjamin M. Ellingson's co-authors include Timothy F. Cloughesy, Whitney B. Pope, Albert Lai, Phioanh L. Nghiemphu, Patrick Y. Wen, Noriko Salamon, Robert J. Harris, Linda M. Liau, Brian D. Schmit and Langston T. Holly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Benjamin M. Ellingson

288 papers receiving 8.3k citations

Hit Papers

Immunotherapy response assessment in neuro-oncology: a re... 2015 2026 2018 2022 2015 2017 2023 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Immunotherapy response assessment in neuro-oncology: a report of the RANO working group
    2015 471 citations Michael Weller, Raymond Y. Huang et al. profile →
  2. Modified Criteria for Radiographic Response Assessment in Glioblastoma Clinical Trials
    2017 295 citations Benjamin M. Ellingson, Patrick Y. Wen et al. profile →
  3. Vorasidenib and ivosidenib in IDH1-mutant low-grade glioma: a randomized, perioperative phase 1 trial
    2023 111 citations Ingo K. Mellinghoff, Min Lu et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin M. Ellingson United States 49 4.8k 4.4k 1.2k 873 788 304 8.3k
Christian la Fougère Germany 44 4.0k 0.8× 2.3k 0.5× 1.6k 1.3× 714 0.8× 656 0.8× 263 8.1k
Rajan Jain United States 47 3.1k 0.6× 2.9k 0.6× 1.0k 0.9× 553 0.6× 614 0.8× 164 6.4k
Norbert Galldiks Germany 47 5.1k 1.1× 5.5k 1.2× 1.7k 1.4× 926 1.1× 732 0.9× 251 8.6k
Elke Hattingen Germany 44 3.3k 0.7× 2.1k 0.5× 843 0.7× 601 0.7× 1.2k 1.5× 360 7.9k
Jong Hee Chang South Korea 46 2.1k 0.4× 3.5k 0.8× 1.2k 1.0× 907 1.0× 1.4k 1.8× 320 7.8k
Lorenzo Bello Italy 49 2.4k 0.5× 3.2k 0.7× 888 0.8× 778 0.9× 1.5k 1.9× 222 8.4k
Karl‐Josef Langen Germany 62 7.1k 1.5× 6.5k 1.5× 2.0k 1.7× 1.3k 1.5× 1.3k 1.7× 346 11.8k
Larry Junck United States 56 3.6k 0.7× 3.9k 0.9× 2.0k 1.7× 719 0.8× 1.5k 1.9× 180 9.4k
Seok‐Gu Kang South Korea 43 1.4k 0.3× 2.7k 0.6× 817 0.7× 1.1k 1.3× 1.8k 2.3× 211 6.2k
Sung‐Hye Park South Korea 41 1.2k 0.3× 3.1k 0.7× 1.2k 1.0× 706 0.8× 1.7k 2.1× 383 6.9k

Countries citing papers authored by Benjamin M. Ellingson

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin M. Ellingson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin M. Ellingson. 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 Benjamin M. Ellingson. The network helps show where Benjamin M. Ellingson may publish in the future.

Co-authorship network of co-authors of Benjamin M. Ellingson

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin M. Ellingson. A scholar is included among the top collaborators of Benjamin M. Ellingson 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 Benjamin M. Ellingson. Benjamin M. Ellingson 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.
Sanvito, Francesco, Catalina Raymond, Richard G. Everson, et al.. (2025). Impact of corticosteroid administration on contrast-enhancing volume and diffusion MRI in treatment naïve glioblastoma. Neuro-Oncology. 27(11). 3016–3026.
2.
Raymond, Catalina, Jingwen Yao, Thorsten Feiweier, et al.. (2025). Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence. Journal of Neuro-Oncology. 174(3). 653–665.
3.
Rhun, Émilie Le, Nathalie L. Albert, Martin Hüllner, et al.. (2024). Targeted radionuclide therapy for patients with central nervous system metastasis: Overlooked potential?. Neuro-Oncology. 26(Supplement_9). S229–S241. 4 indexed citations
4.
Groot, John Frederick De, Timothy F. Cloughesy, Donald A. Berry, et al.. (2024). Evaluation of VAL-083 in GBM AGILE, a phase 3 registration platform trial for newly diagnosed and recurrent glioblastoma.. Journal of Clinical Oncology. 42(16_suppl). 2005–2005.
5.
Sanvito, Francesco, Antonella Castellano, Timothy F. Cloughesy, Patrick Y. Wen, & Benjamin M. Ellingson. (2024). RANO 2.0 criteria: concepts applicable to the neuroradiologist's clinical practice. Current Opinion in Oncology. 36(6). 536–544. 3 indexed citations
6.
Ellingson, Benjamin M., Patrick Y. Wen, Susan M. Chang, et al.. (2023). Objective response rate targets for recurrent glioblastoma clinical trials based on the historic association between objective response rate and median overall survival. Neuro-Oncology. 25(6). 1017–1028. 25 indexed citations
7.
Mellinghoff, Ingo K., Min Lu, Patrick Y. Wen, et al.. (2023). Vorasidenib and ivosidenib in IDH1-mutant low-grade glioma: a randomized, perioperative phase 1 trial. Nature Medicine. 29(3). 615–622. 111 indexed citations breakdown →
8.
Hagiwara, Akifumi, Catalina Raymond, Chencai Wang, et al.. (2023). Change in volumetric tumor growth rate after cytotoxic therapy is predictive of overall survival in recurrent glioblastoma. Neuro-Oncology Advances. 5(1). vdad084–vdad084. 3 indexed citations
9.
Wang, Chencai, Francesco Sanvito, Talia C. Oughourlian, et al.. (2023). Structural Relationship between Cerebral Gray and White Matter Alterations in Degenerative Cervical Myelopathy. Tomography. 9(1). 315–327. 2 indexed citations
10.
Ellingson, Benjamin M., Jingwen Yao, Catalina Raymond, et al.. (2020). Multiparametric MR-PET Imaging Predicts Pharmacokinetics and Clinical Response to GDC-0084 in Patients with Recurrent High-Grade Glioma. Clinical Cancer Research. 26(13). 3135–3144. 10 indexed citations
11.
Kaufmann, Timothy J., Marion Smits, Jerrold L. Boxerman, et al.. (2020). Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro-Oncology. 22(6). 757–772. 150 indexed citations
12.
Tatekawa, Hiroyuki, Jingwen Yao, Talia C. Oughourlian, et al.. (2020). Maximum Uptake and Hypermetabolic Volume of 18F-FDOPA PET Estimate Molecular Status and Overall Survival in Low-Grade Gliomas. Clinical Nuclear Medicine. 45(12). e505–e511. 5 indexed citations
13.
Tatekawa, Hiroyuki, Akifumi Hagiwara, Hiroyuki Uetani, et al.. (2020). Multiparametric MR-PET measurements in hypermetabolic regions reflect differences in molecular status and tumor grade in treatment-naïve diffuse gliomas. Journal of Neuro-Oncology. 149(2). 337–346. 6 indexed citations
14.
Chakhoyan, Ararat, Kevin Leu, Whitney B. Pope, Timothy F. Cloughesy, & Benjamin M. Ellingson. (2017). Improved Spatiotemporal Resolution of Dynamic Susceptibility Contrast Perfusion MRI in Brain Tumors Using Simultaneous Multi-Slice Echo-Planar Imaging. American Journal of Neuroradiology. 39(1). 43–45. 10 indexed citations
15.
Leu, Kevin, Jerrold L. Boxerman, Albert Lai, et al.. (2016). Bidirectional Contrast agent leakage correction of dynamic susceptibility contrast (DSC)‐MRI improves cerebral blood volume estimation and survival prediction in recurrent glioblastoma treated with bevacizumab. Journal of Magnetic Resonance Imaging. 44(5). 1229–1237. 25 indexed citations
16.
Gerstner, Elizabeth R., Zheng Zhang, James R. Fink, et al.. (2016). ACRIN 6684: Assessment of Tumor Hypoxia in Newly Diagnosed Glioblastoma Using 18F-FMISO PET and MRI. Clinical Cancer Research. 22(20). 5079–5086. 85 indexed citations
17.
Ellingson, Benjamin M., et al.. (2015). Quantification of Nonenhancing Tumor Burden in Gliomas Using Effective T2 Maps Derived from Dual-Echo Turbo Spin-Echo MRI. Clinical Cancer Research. 21(19). 4373–4383. 24 indexed citations
18.
Zaw, Taryar, Whitney B. Pope, Timothy F. Cloughesy, et al.. (2014). Short-interval estimation of proliferation rate using serial diffusion MRI predicts progression-free survival in newly diagnosed glioblastoma treated with radiochemotherapy. Journal of Neuro-Oncology. 116(3). 601–608. 6 indexed citations
19.
Ellingson, Benjamin M., Mark G. Malkin, Scott D. Rand, et al.. (2010). Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity. Journal of Magnetic Resonance Imaging. 31(3). 538–548. 214 indexed citations
20.
Ellingson, Benjamin M., John L. Ulmer, & Brian D. Schmit. (2007). Gray and White Matter Delineation in the Human Spinal Cord Using Diffusion Tensor Imaging and Fuzzy Logic. Academic Radiology. 14(7). 847–858. 20 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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