Itay Raphael

2.1k total citations · 1 hit paper
32 papers, 1.4k citations indexed

About

Itay Raphael is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Itay Raphael has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Itay Raphael's work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (8 papers). Itay Raphael is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (8 papers). Itay Raphael collaborates with scholars based in United States, Israel and China. Itay Raphael's co-authors include Thomas G. Forsthuber, Saisha Nalawade, Todd N. Eagar, William E. Haskins, Mandy J. McGeachy, Gary Kohanbash, Shankar Revu, Olaf Stüve, Saikat Majumder and Michael R. Olin and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Itay Raphael

28 papers receiving 1.3k citations

Hit Papers

T cell subsets and their signature cytokines in autoimmun... 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Itay Raphael United States 12 665 342 220 146 126 32 1.4k
Avijit Ray United States 20 896 1.3× 404 1.2× 169 0.8× 141 1.0× 174 1.4× 29 1.6k
Hongmei Li United States 19 1.1k 1.7× 277 0.8× 272 1.2× 162 1.1× 120 1.0× 46 1.7k
Saisha Nalawade United States 5 502 0.8× 231 0.7× 177 0.8× 85 0.6× 95 0.8× 7 991
John R. Ferdinand United Kingdom 20 817 1.2× 558 1.6× 306 1.4× 90 0.6× 158 1.3× 31 1.8k
Chunfang Gu United States 21 469 0.7× 572 1.7× 187 0.8× 122 0.8× 113 0.9× 28 1.5k
Danay Cibrián Spain 19 917 1.4× 507 1.5× 287 1.3× 74 0.5× 144 1.1× 31 1.8k
Zhi-Hua Cui China 16 760 1.1× 361 1.1× 206 0.9× 113 0.8× 237 1.9× 41 1.6k
Masashi Shiina Japan 10 469 0.7× 470 1.4× 251 1.1× 74 0.5× 111 0.9× 12 1.3k
Axel Weber Germany 14 560 0.8× 707 2.1× 216 1.0× 64 0.4× 167 1.3× 25 1.6k

Countries citing papers authored by Itay Raphael

Since Specialization
Citations

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

Fields of papers citing papers by Itay Raphael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itay Raphael

This figure shows the co-authorship network connecting the top 25 collaborators of Itay Raphael. A scholar is included among the top collaborators of Itay Raphael 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 Itay Raphael. Itay Raphael 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.
Reinheimer, Jorge, Ahmed Habib, Baoli Hu, et al.. (2025). Transcript-targeted antigen mapping reveals the potential of POSTN splicing junction epitopes in glioblastoma immunotherapy. Genes and Immunity. 26(3). 190–199.
2.
Josefsson, Anders, Bo Li, Joseph D. Latoche, et al.. (2025). Targeting Tumor-Infiltrating Immune Cells for Targeted Alpha Therapy in Gliomas: Optimization of [225Ac]Ac-DOTA-αCD11b Dosing through PET Imaging. Molecular Cancer Therapeutics. 24(12). 1948–1958.
3.
Walsh, Kyle M., Costas G. Hadjipanayis, Sameer Agnihotri, et al.. (2025). Immuno-epidemiologic mapping of human leukocyte antigen diversity across glioma patient cohorts. Neuro-Oncology. 27(6). 1628–1639.
4.
Kohanbash, Gary, et al.. (2025). NK cells link immune-checkpoint blockade immunotherapy and response in melanoma brain metastases. Journal for ImmunoTherapy of Cancer. 13(3). e011581–e011581. 1 indexed citations
5.
Pollack, Ian F., et al.. (2024). Immunotherapy for pediatric low-grade gliomas. Child s Nervous System. 40(10). 3263–3275. 1 indexed citations
6.
Sharma, Nikhil, et al.. (2024). Myeloid cells as potential targets for immunotherapy in pediatric gliomas. Frontiers in Pediatrics. 12. 1346493–1346493. 11 indexed citations
7.
Raphael, Itay, et al.. (2024). Glioblastoma vaccines: past, present, and opportunities. EBioMedicine. 100. 104963–104963. 45 indexed citations
8.
Simon, Dennis, Itay Raphael, C. Edward Dixon, et al.. (2022). Endogenous Interleukin-17a Contributes to Normal Spatial Memory Retention but Does Not Affect Early Behavioral or Neuropathological Outcomes after Experimental Traumatic Brain Injury. SHILAP Revista de lepidopterología. 3(1). 340–351. 5 indexed citations
9.
Raphael, Itay, Shankar Revu, Natalie Rittenhouse, et al.. (2020). Noncanonical STAT3 activity sustains pathogenic Th17 proliferation and cytokine response to antigen. The Journal of Experimental Medicine. 217(10). 36 indexed citations
10.
Raphael, Itay, et al.. (2020). Genomic, proteomic, and systems biology approaches in biomarker discovery for multiple sclerosis. Cellular Immunology. 358. 104219–104219. 17 indexed citations
11.
Raphael, Itay, et al.. (2019). TNFR2 limits proinflammatory astrocyte functions during EAE induced by pathogenic DR2b-restricted T cells. JCI Insight. 4(24). 14 indexed citations
12.
Hernández-Mir, Gerard, Itay Raphael, Shankar Revu, et al.. (2019). The Alzheimer’s Disease–Associated Protein BACE1 Modulates T Cell Activation and Th17 Function. The Journal of Immunology. 203(3). 665–675. 12 indexed citations
13.
Majumder, Saikat, Nilesh Amatya, Shankar Revu, et al.. (2019). IL-17 metabolically reprograms activated fibroblastic reticular cells for proliferation and survival. Nature Immunology. 20(5). 534–545. 76 indexed citations
15.
Raphael, Itay, et al.. (2017). Early response index: a statistic to discover potential early stage disease biomarkers. BMC Bioinformatics. 18(1). 313–313. 5 indexed citations
16.
Raphael, Itay, Rishein Gupta, Bernard P. Arulanandam, et al.. (2017). Serum Neuroinflammatory Disease-Induced Central Nervous System Proteins Predict Clinical Onset of Experimental Autoimmune Encephalomyelitis. Frontiers in Immunology. 8. 812–812. 6 indexed citations
17.
Raphael, Itay & Thomas G. Forsthuber. (2015). Identification of predictive protein biomarkers for treatment efficacy and clinical relapses of multiple sclerosis (THER7P.950). The Journal of Immunology. 194(1_Supplement). 208.10–208.10. 1 indexed citations
18.
Raphael, Itay, et al.. (2014). Body fluid biomarkers in multiple sclerosis: how far we have come and how they could affect the clinic now and in the future. Expert Review of Clinical Immunology. 11(1). 69–91. 45 indexed citations
19.
Raphael, Itay, Saisha Nalawade, Todd N. Eagar, & Thomas G. Forsthuber. (2014). T cell subsets and their signature cytokines in autoimmune and inflammatory diseases. Cytokine. 74(1). 5–17. 857 indexed citations breakdown →

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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