Rigel J. Kishton

9.5k total citations · 4 hit papers
29 papers, 5.1k citations indexed

About

Rigel J. Kishton is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Rigel J. Kishton has authored 29 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 15 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in Rigel J. Kishton's work include Immune Cell Function and Interaction (15 papers), CAR-T cell therapy research (13 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Rigel J. Kishton is often cited by papers focused on Immune Cell Function and Interaction (15 papers), CAR-T cell therapy research (13 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Rigel J. Kishton collaborates with scholars based in United States, China and Malaysia. Rigel J. Kishton's co-authors include Luke O'neill, Nicholas P. Restifo, Madhusudhanan Sukumar, Jeffrey C. Rathmell, Tori N. Yamamoto, Jason W. Locasale, Sivan Cohen, Valerie A. Gerriets, Nancie J. MacIver and Peter J. Siska and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Rigel J. Kishton

29 papers receiving 5.0k citations

Hit Papers

A guide to immunometabolism for immunologists 2016 2026 2019 2022 2016 2019 2016 2017 500 1000 1.5k 2.0k

Peers

Rigel J. Kishton
Andrew N. Macintyre United States
Rui Li China
Louis M. Pelus United States
Valerie A. Gerriets United States
Eva Tolosa Germany
Andrew N. Macintyre United States
Rigel J. Kishton
Citations per year, relative to Rigel J. Kishton Rigel J. Kishton (= 1×) peers Andrew N. Macintyre

Countries citing papers authored by Rigel J. Kishton

Since Specialization
Citations

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

Fields of papers citing papers by Rigel J. Kishton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rigel J. Kishton. 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 Rigel J. Kishton. The network helps show where Rigel J. Kishton may publish in the future.

Co-authorship network of co-authors of Rigel J. Kishton

This figure shows the co-authorship network connecting the top 25 collaborators of Rigel J. Kishton. A scholar is included among the top collaborators of Rigel J. Kishton 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 Rigel J. Kishton. Rigel J. Kishton 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.
Kishton, Rigel J. & Nicholas P. Restifo. (2024). T cells lead the charge against solid tumors. Nature Cancer. 5(12). 1762–1764. 3 indexed citations
2.
Islam, S.M. Rafiqul, Naritaka Tamaoki, Rigel J. Kishton, et al.. (2023). Reprogramming of Tumor-reactive Tumor-infiltrating Lymphocytes to Human-induced Pluripotent Stem Cells. Cancer Research Communications. 3(5). 917–932. 6 indexed citations
3.
Zhang, Yu, Douglas C. Palmer, Rigel J. Kishton, et al.. (2022). A T cell resilience model associated with response to immunotherapy in multiple tumor types. Nature Medicine. 28(7). 1421–1431. 40 indexed citations
4.
Kishton, Rigel J., Suman K. Vodnala, Raul Vizcardo, & Nicholas P. Restifo. (2021). Next generation immunotherapy: enhancing stemness of polyclonal T cells to improve anti-tumor activity. Current Opinion in Immunology. 74. 39–45. 18 indexed citations
5.
Sukumar, Madhusudhanan, Kuoyuan Cheng, Arunakumar Gangaplara, et al.. (2021). Abstract 1527: Integrated computational and experimental analysis identifies the mitochondrial uncoupling protein 2 (Ucp2) as a key regulator of T cell anti-tumor function. Cancer Research. 81(13_Supplement). 1527–1527. 1 indexed citations
6.
Dersh, Devin, James D. Phelan, Megan E. Gumina, et al.. (2020). Genome-wide Screens Identify Lineage- and Tumor-Specific Genes Modulating MHC-I- and MHC-II-Restricted Immunosurveillance of Human Lymphomas. Immunity. 54(1). 116–131.e10. 85 indexed citations
7.
Yamamoto, Tori N., Rigel J. Kishton, & Nicholas P. Restifo. (2019). Developing neoantigen-targeted T cell–based treatments for solid tumors. Nature Medicine. 25(10). 1488–1499. 178 indexed citations
8.
Lee, Ping‐Hsien, Tori N. Yamamoto, Devikala Gurusamy, et al.. (2019). Host conditioning with IL-1β improves the antitumor function of adoptively transferred T cells. The Journal of Experimental Medicine. 216(11). 2619–2634. 60 indexed citations
9.
Collins, Nicholas, Seong‐Ji Han, Michel Enamorado, et al.. (2019). The Bone Marrow Protects and Optimizes Immunological Memory during Dietary Restriction. Cell. 178(5). 1088–1101.e15. 186 indexed citations
10.
Yamamoto, Tori N., Ping‐Hsien Lee, Suman K. Vodnala, et al.. (2019). T cells genetically engineered to overcome death signaling enhance adoptive cancer immunotherapy. Journal of Clinical Investigation. 129(4). 1551–1565. 110 indexed citations
11.
Stice, James P., Suzanne E. Wardell, John D. Norris, et al.. (2017). CDK4/6 Therapeutic Intervention and Viable Alternative to Taxanes in CRPC. Molecular Cancer Research. 15(6). 660–669. 22 indexed citations
12.
Sukumar, Madhusudhanan, Rigel J. Kishton, & Nicholas P. Restifo. (2017). Metabolic reprograming of anti-tumor immunity. Current Opinion in Immunology. 46. 14–22. 74 indexed citations
13.
Kishton, Rigel J., Madhusudhanan Sukumar, & Nicholas P. Restifo. (2017). Metabolic Regulation of T Cell Longevity and Function in Tumor Immunotherapy. Cell Metabolism. 26(1). 94–109. 400 indexed citations breakdown →
14.
Zeng, Hu, Sivan Cohen, Cliff Guy, et al.. (2016). mTORC1 and mTORC2 Kinase Signaling and Glucose Metabolism Drive Follicular Helper T Cell Differentiation. Immunity. 45(3). 540–554. 260 indexed citations
15.
Gerriets, Valerie A., Rigel J. Kishton, Marc O. Johnson, et al.. (2016). Foxp3 and Toll-like receptor signaling balance Treg cell anabolic metabolism for suppression. Nature Immunology. 17(12). 1459–1466. 409 indexed citations breakdown →
16.
Kishton, Rigel J., Amanda Nichols, Sivan Cohen, et al.. (2016). AMPK Is Essential to Balance Glycolysis and Mitochondrial Metabolism to Control T-ALL Cell Stress and Survival. Cell Metabolism. 23(4). 649–662. 194 indexed citations
17.
O'neill, Luke, et al.. (2016). A guide to immunometabolism for immunologists. Nature reviews. Immunology. 16(9). 553–565. 2102 indexed citations breakdown →
18.
Kishton, Rigel J. & Jeffrey C. Rathmell. (2015). Novel Therapeutic Targets of Tumor Metabolism. The Cancer Journal. 21(2). 62–69. 35 indexed citations
19.
Kishton, Rigel J., Andrew N. Macintyre, Valerie A. Gerriets, et al.. (2014). Glucose transporter 1-mediated glucose uptake is limiting for B-cell acute lymphoblastic leukemia anabolic metabolism and resistance to apoptosis. Cell Death and Disease. 5(10). e1470–e1470. 61 indexed citations
20.
Kishton, Rigel J., et al.. (2011). DNA site-specific N3-adenine methylation targeted to estrogen receptor-positive cells. Bioorganic & Medicinal Chemistry. 19(17). 5093–5102. 2 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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