Jared J. Gartner

12.8k total citations · 6 hit papers
60 papers, 6.9k citations indexed

About

Jared J. Gartner is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Jared J. Gartner has authored 60 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Oncology, 38 papers in Immunology and 24 papers in Molecular Biology. Recurrent topics in Jared J. Gartner's work include CAR-T cell therapy research (34 papers), Immunotherapy and Immune Responses (33 papers) and Cancer Immunotherapy and Biomarkers (25 papers). Jared J. Gartner is often cited by papers focused on CAR-T cell therapy research (34 papers), Immunotherapy and Immune Responses (33 papers) and Cancer Immunotherapy and Biomarkers (25 papers). Jared J. Gartner collaborates with scholars based in United States, Israel and Spain. Jared J. Gartner's co-authors include Steven A. Rosenberg, Paul F. Robbins, Todd D. Prickett, Anna Pasetto, Yong‐Chen Lu, Eric Tran, Zhili Zheng, Maria R. Parkhurst, Satyajit Ray and Lee Jia and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

Jared J. Gartner

57 papers receiving 6.8k citations

Hit Papers

T-Cell Transfer Therapy Targeting Mutant KRAS in Cancer 2013 2026 2017 2021 2016 2013 2016 2015 2018 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
Jared J. Gartner United States 30 5.2k 4.3k 2.3k 733 645 60 6.9k
Eric Tran United States 30 6.0k 1.2× 4.9k 1.1× 1.7k 0.7× 690 0.9× 491 0.8× 54 7.3k
Todd D. Prickett United States 34 4.0k 0.8× 3.2k 0.7× 2.3k 1.0× 540 0.7× 561 0.9× 52 5.9k
Alena Gros Spain 28 4.3k 0.8× 3.6k 0.8× 1.5k 0.7× 939 1.3× 307 0.5× 54 5.6k
Hideho Okada United States 54 4.1k 0.8× 5.1k 1.2× 2.8k 1.2× 694 0.9× 1.1k 1.7× 198 8.8k
Gary E. Archer United States 42 3.7k 0.7× 3.2k 0.7× 1.8k 0.8× 520 0.7× 484 0.8× 80 6.5k
Maria R. Parkhurst United States 37 6.0k 1.2× 7.1k 1.7× 3.1k 1.4× 1.1k 1.5× 301 0.5× 64 9.2k
Michael A. Curran United States 35 4.0k 0.8× 3.6k 0.8× 1.7k 0.7× 646 0.9× 867 1.3× 127 7.0k
Yong F. Li United States 27 4.7k 0.9× 4.3k 1.0× 1.4k 0.6× 835 1.1× 247 0.4× 43 5.9k
Mona El‐Gamil United States 29 4.0k 0.8× 4.4k 1.0× 2.8k 1.2× 938 1.3× 237 0.4× 41 6.6k
Anna Pasetto United States 21 3.3k 0.6× 2.7k 0.6× 957 0.4× 397 0.5× 272 0.4× 43 4.0k

Countries citing papers authored by Jared J. Gartner

Since Specialization
Citations

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

Fields of papers citing papers by Jared J. Gartner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared J. Gartner

This figure shows the co-authorship network connecting the top 25 collaborators of Jared J. Gartner. A scholar is included among the top collaborators of Jared J. Gartner 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 Jared J. Gartner. Jared J. Gartner 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.
Nah, Shirley, A. Gustafson, Billel Gasmi, et al.. (2025). Adoptive Cell Transfer of Tumor-Infiltrating Lymphocytes for Metastatic Acral Lentiginous Melanoma. Journal of Clinical Oncology. 43(22). 2479–2489.
2.
Sindiri, Sivasish, Victoria Hill, Billel Gasmi, et al.. (2023). Specific recognition of an FGFR2 fusion by tumor infiltrating lymphocytes from a patient with metastatic cholangiocarcinoma. Journal for ImmunoTherapy of Cancer. 11(4). e006303–e006303. 2 indexed citations
3.
Chatani, Praveen D., Frank J. Lowery, Neilesh B. Parikh, et al.. (2023). Cell surface marker-based capture of neoantigen-reactive CD8+ T-cell receptors from metastatic tumor digests. Journal for ImmunoTherapy of Cancer. 11(5). e006264–e006264. 13 indexed citations
4.
Hanada, Ken‐ichi, Chihao Zhao, Jared J. Gartner, et al.. (2022). A phenotypic signature that identifies neoantigen-reactive T cells in fresh human lung cancers. Cancer Cell. 40(5). 479–493.e6. 90 indexed citations
5.
Levin, Noam, Biman C. Paria, Nolan R. Vale, et al.. (2021). Identification and Validation of T-cell Receptors Targeting RAS Hotspot Mutations in Human Cancers for Use in Cell-based Immunotherapy. Clinical Cancer Research. 27(18). 5084–5095. 29 indexed citations
6.
Gartner, Jared J., Maria R. Parkhurst, Alena Gros, et al.. (2021). A machine learning model for ranking candidate HLA class I neoantigens based on known neoepitopes from multiple human tumor types. Nature Cancer. 2(5). 563–574. 56 indexed citations
7.
Lo, Winifred, Maria R. Parkhurst, Paul F. Robbins, et al.. (2019). Immunologic Recognition of a Shared p53 Mutated Neoantigen in a Patient with Metastatic Colorectal Cancer. Cancer Immunology Research. 7(4). 534–543. 105 indexed citations
8.
Madigan, James P., Jared J. Gartner, Jimmy Lin, et al.. (2019). Exome Sequencing of ABCB5 Identifies Recurrent Melanoma Mutations that Result in Increased Proliferative and Invasive Capacities. Journal of Investigative Dermatology. 139(9). 1985–1992.e10. 9 indexed citations
9.
Malekzadeh, Parisa, Anna Pasetto, Paul F. Robbins, et al.. (2019). Neoantigen screening identifies broad TP53 mutant immunogenicity in patients with epithelial cancers. Journal of Clinical Investigation. 129(3). 1109–1114. 197 indexed citations
10.
Deniger, Drew C., Anna Pasetto, Paul F. Robbins, et al.. (2018). T-cell Responses to TP53 “Hotspot” Mutations and Unique Neoantigens Expressed by Human Ovarian Cancers. Clinical Cancer Research. 24(22). 5562–5573. 110 indexed citations
11.
Assadipour, Yasmine, Nikolaos Zacharakis, Jessica S. Crystal, et al.. (2017). Characterization of an Immunogenic Mutation in a Patient with Metastatic Triple-Negative Breast Cancer. Clinical Cancer Research. 23(15). 4347–4353. 28 indexed citations
12.
Stevanović, Sanja, Anna Pasetto, Sarah R. Helman, et al.. (2017). Landscape of immunogenic tumor antigens in successful immunotherapy of virally induced epithelial cancer. Science. 356(6334). 200–205. 279 indexed citations
13.
Pasetto, Anna, Alena Gros, Paul F. Robbins, et al.. (2016). Tumor- and Neoantigen-Reactive T-cell Receptors Can Be Identified Based on Their Frequency in Fresh Tumor. Cancer Immunology Research. 4(9). 734–743. 148 indexed citations
14.
Prickett, Todd D., Jessica S. Crystal, Cyrille J. Cohen, et al.. (2016). Durable Complete Response from Metastatic Melanoma after Transfer of Autologous T Cells Recognizing 10 Mutated Tumor Antigens. Cancer Immunology Research. 4(8). 669–678. 88 indexed citations
15.
Gotea, Valer, Jared J. Gartner, Nouar Qutob, Laura Elnitski, & Yardena Samuels. (2015). The functional relevance of somatic synonymous mutations in melanoma and other cancers. Pigment Cell & Melanoma Research. 28(6). 673–684. 41 indexed citations
16.
Cohen, Cyrille J., Jared J. Gartner, Miryam Horovitz‐Fried, et al.. (2015). Isolation of neoantigen-specific T cells from tumor and peripheral lymphocytes. Journal of Clinical Investigation. 125(10). 3981–3991. 275 indexed citations
17.
Parker, Stephen C.J., Jared J. Gartner, Xiaomu Wei, et al.. (2012). Mutational Signatures of De-Differentiation in Functional Non-Coding Regions of Melanoma Genomes. PLoS Genetics. 8(8). e1002871–e1002871. 8 indexed citations
18.
Gartner, Jared J., Sean Davis, Xiaomu Wei, et al.. (2012). Comparative exome sequencing of metastatic lesions provides insights into the mutational progression of melanoma. BMC Genomics. 13(1). 505–505. 25 indexed citations
19.
Wei, Xiaomu, Ángela Moncada-Pazos, Santiago Cal, et al.. (2011). Analysis of the disintegrin-metalloproteinases family reveals ADAM29 and ADAM7 are often mutated in melanoma. Human Mutation. 32(6). E2148–E2175. 31 indexed citations
20.
Prickett, Todd D., Xiaomu Wei, Jamie K. Teer, et al.. (2011). Exon capture analysis of G protein-coupled receptors identifies activating mutations in GRM3 in melanoma. Nature Genetics. 43(11). 1119–1126. 115 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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