Kole T. Roybal

8.0k total citations · 7 hit papers
45 papers, 5.3k citations indexed

About

Kole T. Roybal is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Kole T. Roybal has authored 45 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 25 papers in Immunology and 15 papers in Molecular Biology. Recurrent topics in Kole T. Roybal's work include CAR-T cell therapy research (30 papers), Immune Cell Function and Interaction (17 papers) and T-cell and B-cell Immunology (15 papers). Kole T. Roybal is often cited by papers focused on CAR-T cell therapy research (30 papers), Immune Cell Function and Interaction (17 papers) and T-cell and B-cell Immunology (15 papers). Kole T. Roybal collaborates with scholars based in United States, United Kingdom and France. Kole T. Roybal's co-authors include Wendell A. Lim, Leonardo Morsut, Levi J. Rupp, Krista A. McNally, Elias M. Puchner, James Onuffer, Chia-Yung Wu, Jason S. Park, Matthew Thomson and Russell M. Gordley and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kole T. Roybal

44 papers receiving 5.2k citations

Hit Papers

Precision Tumor Recognition by T Cells With... 2007 2026 2013 2019 2016 2016 2007 2017 2015 200 400 600
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. Precision Tumor Recognition by T Cells With Combinatorial Antigen-Sensing Circuits
    2016 727 citations Kole T. Roybal, Levi J. Rupp et al. Cell profile →
  2. Engineering Customized Cell Sensing and Response Behaviors Using Synthetic Notch Receptors
    2016 675 citations Leonardo Morsut, Kole T. Roybal et al. Cell profile →
  3. Mania-like behavior induced by disruption of CLOCK
    2007 617 citations Kole T. Roybal, Ami Graham et al. Proceedings of the National Academy of Sciences profile →
  4. CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cells
    2017 579 citations Levi J. Rupp, Kathrin Schumann et al. Scientific Reports profile →
  5. Remote control of therapeutic T cells through a small molecule–gated chimeric receptor
    2015 552 citations Kole T. Roybal, Wendell A. Lim et al. Science profile →
  6. Engineering T Cells with Customized Therapeutic Response Programs Using Synthetic Notch Receptors
    2016 524 citations Kole T. Roybal, Jasper Z. Williams et al. Cell profile →
  7. Naturally occurring T cell mutations enhance engineered T cell therapies
    2024 46 citations Julie Garcia, Jay Daniels et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kole T. Roybal United States 24 3.1k 2.3k 1.5k 1.3k 961 45 5.3k
Michael E. Barish United States 29 1.3k 0.4× 2.0k 0.9× 686 0.5× 582 0.4× 430 0.4× 71 3.9k
Yi Wu United States 34 1.0k 0.3× 2.3k 1.0× 715 0.5× 335 0.3× 185 0.2× 81 5.7k
Stanislav S. Zakharenko United States 37 1.4k 0.4× 3.2k 1.4× 205 0.1× 352 0.3× 812 0.8× 68 6.6k
James Ellis Canada 44 334 0.1× 5.1k 2.2× 585 0.4× 237 0.2× 1.9k 2.0× 123 7.1k
Angela Gritti Italy 35 1.7k 0.5× 4.8k 2.1× 461 0.3× 522 0.4× 725 0.8× 81 8.7k
Miguel Sena‐Esteves United States 46 537 0.2× 4.0k 1.7× 297 0.2× 311 0.2× 2.7k 2.8× 151 6.6k
Frederick J. Livesey United Kingdom 42 345 0.1× 6.2k 2.7× 761 0.5× 548 0.4× 907 0.9× 73 8.3k
Edwin S. Monuki United States 39 178 0.1× 2.9k 1.3× 1.0k 0.7× 225 0.2× 726 0.8× 89 5.6k
Paola Arlotta United States 42 341 0.1× 6.6k 2.9× 929 0.6× 477 0.4× 1.0k 1.1× 88 10.3k
Masaharu Ogawa Japan 41 636 0.2× 5.6k 2.4× 313 0.2× 321 0.2× 986 1.0× 93 9.6k

Countries citing papers authored by Kole T. Roybal

Since Specialization
Citations

This map shows the geographic impact of Kole T. Roybal'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 Kole T. Roybal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kole T. Roybal more than expected).

Fields of papers citing papers by Kole T. Roybal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kole T. Roybal. 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 Kole T. Roybal. The network helps show where Kole T. Roybal may publish in the future.

Co-authorship network of co-authors of Kole T. Roybal

This figure shows the co-authorship network connecting the top 25 collaborators of Kole T. Roybal. A scholar is included among the top collaborators of Kole T. Roybal 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 Kole T. Roybal. Kole T. Roybal 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.
Garcia, Julie, Jay Daniels, Iowis Zhu, et al.. (2024). Naturally occurring T cell mutations enhance engineered T cell therapies. Nature. 626(7999). 626–634. 46 indexed citations breakdown →
2.
Ledergor, Guy, Kaichun Wu, Elizabeth McCarthy, et al.. (2024). CD4+ CAR T-cell exhaustion associated with early relapse of multiple myeloma after BCMA CAR T-cell therapy. Blood Advances. 8(13). 3562–3575. 19 indexed citations
3.
Piraner, Dan I., Mohamad H. Abedi, Annie Lin, et al.. (2024). Engineered receptors for soluble cellular communication and disease sensing. Nature. 638(8051). 805–813. 16 indexed citations
4.
Garcia, Julie, Cassandra E. Burnett, & Kole T. Roybal. (2023). Toward the clinical development of synthetic immunity to cancer. Immunological Reviews. 320(1). 83–99. 3 indexed citations
5.
Zhu, Iowis, Dan I. Piraner, & Kole T. Roybal. (2023). Synthesizing a Smarter CAR T Cell: Advanced Engineering of T-cell Immunotherapies. Cancer Immunology Research. 11(8). 1030–1043. 6 indexed citations
6.
Garcia, Julie, Jay Daniels, Iowis Zhu, et al.. (2023). Naturally Occurring Mutations in Human T Cell Lymphomas Enhance Engineered T Cell Therapies. Blood. 142(Supplement 1). 884–884.
7.
Shemesh, Avishai, Yapeng Su, Daniel R. Calabrese, et al.. (2022). Diminished cell proliferation promotes natural killer cell adaptive-like phenotype by limiting FcεRIγ expression. The Journal of Experimental Medicine. 219(11). 23 indexed citations
8.
Goodman, Daniel B., Camillia S. Azimi, Alexis Talbot, et al.. (2022). Pooled screening of CAR T cells identifies diverse immune signaling domains for next-generation immunotherapies. Science Translational Medicine. 14(670). eabm1463–eabm1463. 51 indexed citations
9.
Li, Hui-Shan, Divya V. Israni, Keith A. Gagnon, et al.. (2022). Multidimensional control of therapeutic human cell function with synthetic gene circuits. Science. 378(6625). 1227–1234. 90 indexed citations
10.
Shin, Jaehoon, Matthew F.L. Parker, Iowis Zhu, et al.. (2022). Antigen-Dependent Inducible T-Cell Reporter System for PET Imaging of Breast Cancer and Glioblastoma. Journal of Nuclear Medicine. 64(1). 137–144. 7 indexed citations
11.
Beppler, Casey, En Cai, Carlos A. Castellanos, et al.. (2022). Hyperstabilization of T cell microvilli contacts by chimeric antigen receptors. The Journal of Cell Biology. 222(3). 10 indexed citations
12.
Shemesh, Avishai, Harry Pickering, Kole T. Roybal, & Lewis L. Lanier. (2022). Differential IL-12 signaling induces human natural killer cell activating receptor-mediated ligand-specific expansion. The Journal of Experimental Medicine. 219(8). 29 indexed citations
13.
Hyrenius‐Wittsten, Axel, et al.. (2021). SynNotch CAR circuits enhance solid tumor recognition and promote persistent antitumor activity in mouse models. Science Translational Medicine. 13(591). 174 indexed citations
14.
Tian, Ruilin, Priya Choudhry, Torsten Hechler, et al.. (2020). CRISPR-based screens uncover determinants of immunotherapy response in multiple myeloma. Blood Advances. 4(13). 2899–2911. 37 indexed citations
15.
Huang, Xiao, Jasper Z. Williams, Ryan Chang, et al.. (2020). DNA scaffolds enable efficient and tunable functionalization of biomaterials for immune cell modulation. Nature Nanotechnology. 16(2). 214–223. 81 indexed citations
16.
Roth, Theodore L., P. Jonathan Li, Franziska Blaeschke, et al.. (2020). Pooled Knockin Targeting for Genome Engineering of Cellular Immunotherapies. Cell. 181(3). 728–744.e21. 130 indexed citations
17.
Rupp, Levi J., Kathrin Schumann, Kole T. Roybal, et al.. (2017). CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cells. Scientific Reports. 7(1). 737–737. 579 indexed citations breakdown →
18.
Morsut, Leonardo, Kole T. Roybal, Xin Xiong, et al.. (2016). Engineering Customized Cell Sensing and Response Behaviors Using Synthetic Notch Receptors. Cell. 164(4). 780–791. 675 indexed citations breakdown →
19.
Eitson, Jennifer L., Ashley R. Hoover, Shashikant Srivastava, et al.. (2012). Mycobacterial Shuttle Vectors Designed for High-Level Protein Expression in Infected Macrophages. Applied and Environmental Microbiology. 78(19). 6829–6837. 11 indexed citations
20.
Roybal, Kole T., Ami Graham, Jennifer A. DiNieri, et al.. (2007). Mania-like behavior induced by disruption of CLOCK. Proceedings of the National Academy of Sciences. 104(15). 6406–6411. 617 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael E. Barish Breakdown of academic impact, for papers by Yi Wu Breakdown of academic impact, for papers by Stanislav S. Zakharenko Breakdown of academic impact, for papers by James Ellis Breakdown of academic impact, for papers by Angela Gritti Breakdown of academic impact, for papers by Miguel Sena‐Esteves Breakdown of academic impact, for papers by Frederick J. Livesey Breakdown of academic impact, for papers by Edwin S. Monuki Breakdown of academic impact, for papers by Paola Arlotta Breakdown of academic impact, for papers by Masaharu Ogawa
Rankless by CCL
2026