Richard G. Everson

2.6k total citations
84 papers, 1.5k citations indexed

About

Richard G. Everson is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Richard G. Everson has authored 84 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 25 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Immunology. Recurrent topics in Richard G. Everson's work include Glioma Diagnosis and Treatment (28 papers), Immunotherapy and Immune Responses (18 papers) and MRI in cancer diagnosis (14 papers). Richard G. Everson is often cited by papers focused on Glioma Diagnosis and Treatment (28 papers), Immunotherapy and Immune Responses (18 papers) and MRI in cancer diagnosis (14 papers). Richard G. Everson collaborates with scholars based in United States, United Kingdom and Japan. Richard G. Everson's co-authors include Linda M. Liau, Robert M. Prins, Timothy F. Cloughesy, Horacio Soto, William H. Yong, Joseph Antonios, Joey Orpilla, Diana Moughon, Albert Lai and Shaina Sedighim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Richard G. Everson

71 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard G. Everson United States 20 580 575 568 310 223 84 1.5k
Francesca Maria Rossi Italy 25 353 0.6× 867 1.5× 684 1.2× 459 1.5× 133 0.6× 84 1.9k
Jaime Gállego Pérez‐Larraya Spain 18 536 0.9× 861 1.5× 408 0.7× 354 1.1× 155 0.7× 48 1.5k
Denis Migliorini Switzerland 21 708 1.2× 224 0.4× 715 1.3× 543 1.8× 106 0.5× 72 1.6k
Ricardo Zwirtes United States 9 953 1.6× 873 1.5× 663 1.2× 300 1.0× 66 0.3× 16 1.7k
Chien‐Tsun Kuan United States 23 655 1.1× 245 0.4× 442 0.8× 734 2.4× 468 2.1× 37 1.6k
Pavel Klener Czechia 25 638 1.1× 338 0.6× 266 0.5× 631 2.0× 75 0.3× 121 1.6k
Syed R. Husain United States 30 772 1.3× 437 0.8× 1.2k 2.1× 688 2.2× 384 1.7× 54 2.5k
David C. Binder United States 17 759 1.3× 175 0.3× 681 1.2× 298 1.0× 94 0.4× 37 1.4k
Kendra L. Congdon United States 14 614 1.1× 417 0.7× 718 1.3× 999 3.2× 63 0.3× 25 1.9k
Michael P. Rettig United States 27 1.4k 2.3× 380 0.7× 1.1k 2.0× 977 3.2× 197 0.9× 122 3.5k

Countries citing papers authored by Richard G. Everson

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Everson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard G. Everson. 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 Richard G. Everson. The network helps show where Richard G. Everson may publish in the future.

Co-authorship network of co-authors of Richard G. Everson

This figure shows the co-authorship network connecting the top 25 collaborators of Richard G. Everson. A scholar is included among the top collaborators of Richard G. Everson 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 Richard G. Everson. Richard G. Everson 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.
Raymond, Catalina, Jingwen Yao, Bryan Clifford, et al.. (2025). Leveraging Physics-Based Synthetic MR Images and Deep Transfer Learning for Artifact Reduction in Echo-Planar Imaging. American Journal of Neuroradiology. 46(4). 733–741. 1 indexed citations
2.
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.
3.
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.
4.
Patel, Kunal, Riki Kawaguchi, Alvaro G. Alvarado, et al.. (2024). Single-nucleus expression characterization of non-enhancing region of recurrent high-grade glioma. Neuro-Oncology Advances. 6(1). vdae005–vdae005. 2 indexed citations
6.
Harary, Maya, Patricia D. Walshaw, Andrew J. Frew, et al.. (2024). Functional magnetic resonance imaging (fMRI) as adjunct for planning laser interstitial thermal therapy (LITT) near eloquent structures. Acta Neurochirurgica. 166(1). 66–66. 1 indexed citations
7.
Cho, Nicholas S., Vien Le, Francesco Sanvito, et al.. (2024). Digital “flipbooks” for enhanced visual assessment of simple and complex brain tumors. Neuro-Oncology. 26(10). 1823–1836. 1 indexed citations
8.
Kim, Shineui, et al.. (2024). Hospital-level variation in hospitalization costs for spinal fusion in the United States. PLoS ONE. 19(2). e0298135–e0298135. 3 indexed citations
9.
Sanvito, Francesco, Catalina Raymond, Nicholas S. Cho, et al.. (2023). Simultaneous quantification of perfusion, permeability, and leakage effects in brain gliomas using dynamic spin-and-gradient-echo echoplanar imaging MRI. European Radiology. 34(5). 3087–3101. 7 indexed citations
10.
Lee, Alex, Lu Sun, Aaron Mochizuki, et al.. (2021). Neoadjuvant PD-1 blockade induces T cell and cDC1 activation but fails to overcome the immunosuppressive tumor associated macrophages in recurrent glioblastoma. Nature Communications. 12(1). 6938–6938. 135 indexed citations
11.
Lü, Yue, Alphonsus H. C. Ng, Frances Chow, et al.. (2021). Resolution of tissue signatures of therapy response in patients with recurrent GBM treated with neoadjuvant anti-PD1. Nature Communications. 12(1). 4031–4031. 19 indexed citations
12.
Tucker, Alexander M., et al.. (2018). Electrodiagnostic findings in postoperative C5 palsy after cervical laminectomy and fusion. Interdisciplinary Neurosurgery. 14. 39–41. 3 indexed citations
13.
Everson, Richard G., Joseph Antonios, & Linda M. Liau. (2018). Cell-Based Immunotherapy of Gliomas. Progress in neurological surgery. 32. 90–100. 8 indexed citations
14.
Everson, Richard G., Yuuri Hashimoto, Jacob Freeman, et al.. (2018). Multiplatform profiling of meningioma provides molecular insight and prioritization of drug targets for rational clinical trial design. Journal of Neuro-Oncology. 139(2). 469–478. 18 indexed citations
15.
Sedighim, Shaina, Tina Wang, Joseph Antonios, et al.. (2016). TCR Sequencing Can Identify and Track Glioma-Infiltrating T Cells after DC Vaccination. Cancer Immunology Research. 4(5). 412–418. 53 indexed citations
16.
Antonios, Joseph, Horacio Soto, Richard G. Everson, et al.. (2016). Immunosuppressive tumor-infiltrating myeloid cells mediate adaptive immune resistance via a PD-1/PD-L1 mechanism in glioblastoma. Neuro-Oncology. 19(6). now287–now287. 151 indexed citations
17.
Everson, Richard G., Joseph Antonios, Dominique N. Lisiero, et al.. (2015). Efficacy of systemic adoptive transfer immunotherapy targeting NY-ESO-1 for glioblastoma. Neuro-Oncology. 18(3). 368–378. 36 indexed citations
18.
Li, Sichen, Arthur P. Chou, Weidong Chen, et al.. (2012). Overexpression of isocitrate dehydrogenase mutant proteins renders glioma cells more sensitive to radiation. Neuro-Oncology. 15(1). 57–68. 127 indexed citations
19.
Goetz, Christian, et al.. (2010). MAPK Signal-integrating Kinase Controls Cap-independent Translation and Cell Type-specific Cytotoxicity of an Oncolytic Poliovirus. Molecular Therapy. 18(11). 1937–1946. 32 indexed citations
20.
Yang, Zhen, Richard G. Everson, & Hujun Yin. (2004). Intelligent Data Engineering and Automated Learning - IDEAL 2004: 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 1 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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