Jason Plotkin

2.6k total citations · 2 hit papers
8 papers, 2.0k citations indexed

About

Jason Plotkin is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Jason Plotkin has authored 8 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Jason Plotkin's work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (2 papers). Jason Plotkin is often cited by papers focused on CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (2 papers). Jason Plotkin collaborates with scholars based in United States, Switzerland and United Kingdom. Jason Plotkin's co-authors include Michel Sadelain, Isabelle Rivière, Maud Condomines, Gertrude Gunset, Maiko Matsushita, Sjoukje J. C. van der Stegen, Christopher C. Kloss, Fabiana Perna, Zeguo Zhao and Christos Colovos and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cancer Cell.

In The Last Decade

Jason Plotkin

8 papers receiving 2.0k citations

Hit Papers

Structural Design of Engineered Costimulation Determines ... 2014 2026 2018 2022 2015 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Plotkin United States 8 1.6k 778 603 569 499 8 2.0k
Meera Murgai United States 8 1.5k 0.9× 761 1.0× 708 1.2× 511 0.9× 370 0.7× 13 2.0k
Kheng Newick United States 14 1.9k 1.1× 897 1.2× 819 1.4× 608 1.1× 445 0.9× 15 2.4k
Christopher C. Kloss United States 11 2.2k 1.3× 925 1.2× 932 1.5× 820 1.4× 679 1.4× 15 2.6k
Dongrui Wang United States 17 1.4k 0.8× 688 0.9× 688 1.1× 480 0.8× 275 0.6× 39 1.9k
Liang‐Chuan S. Wang United States 15 1.7k 1.0× 949 1.2× 637 1.1× 406 0.7× 393 0.8× 21 2.2k
Jillian Smith United States 8 1.8k 1.1× 1.1k 1.4× 541 0.9× 574 1.0× 390 0.8× 16 2.2k
Evripidis Lanitis Switzerland 19 1.6k 1.0× 887 1.1× 695 1.2× 562 1.0× 367 0.7× 25 2.2k
Mark B. Leick United States 16 1.4k 0.9× 518 0.7× 526 0.9× 505 0.9× 408 0.8× 47 1.8k
Carmen S. Yong Australia 12 1.2k 0.7× 848 1.1× 455 0.8× 303 0.5× 313 0.6× 21 1.7k
Clare Y. Slaney Australia 23 1.8k 1.1× 1.2k 1.6× 761 1.3× 434 0.8× 304 0.6× 38 2.6k

Countries citing papers authored by Jason Plotkin

Since Specialization
Citations

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

Fields of papers citing papers by Jason Plotkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Plotkin

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Plotkin. A scholar is included among the top collaborators of Jason Plotkin 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 Jason Plotkin. Jason Plotkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Maus, Marcela V., Jason Plotkin, Guillaume B. E. Stewart-Jones, et al.. (2016). An MHC-restricted antibody-based chimeric antigen receptor requires TCR-like affinity to maintain antigen specificity. Molecular Therapy — Oncolytics. 3. 16023–16023. 71 indexed citations
2.
Condomines, Maud, Jon Arnason, Reuben Benjamin, et al.. (2015). Tumor-Targeted Human T Cells Expressing CD28-Based Chimeric Antigen Receptors Circumvent CTLA-4 Inhibition. PLoS ONE. 10(6). e0130518–e0130518. 55 indexed citations
3.
Zhao, Zeguo, Maud Condomines, Sjoukje J. C. van der Stegen, et al.. (2015). Structural Design of Engineered Costimulation Determines Tumor Rejection Kinetics and Persistence of CAR T Cells. Cancer Cell. 28(4). 415–428. 637 indexed citations breakdown →
4.
Adusumilli, Prasad S., Leonid Cherkassky, Jonathan Villena‐Vargas, et al.. (2014). Regional delivery of mesothelin-targeted CAR T cell therapy generates potent and long-lasting CD4-dependent tumor immunity. Science Translational Medicine. 6(261). 261ra151–261ra151. 434 indexed citations breakdown →
6.
Paglin, Shoshana, Megan L. Fitzgerald, Jason Plotkin, et al.. (2005). Rapamycin-Sensitive Pathway Regulates Mitochondrial Membrane Potential, Autophagy, and Survival in Irradiated MCF-7 Cells. Cancer Research. 65(23). 11061–11070. 181 indexed citations
7.
Tabrizifard, Sahba, Alexandru Olaru, Jason Plotkin, et al.. (2004). Analysis of Transcription Factor Expression during Discrete Stages of Postnatal Thymocyte Differentiation. The Journal of Immunology. 173(2). 1094–1102. 49 indexed citations
8.
Plotkin, Jason, Susan E. Prockop, Ana Paula Lepique, & Howard T. Petrie. (2003). Critical Role for CXCR4 Signaling in Progenitor Localization and T Cell Differentiation in the Postnatal Thymus. The Journal of Immunology. 171(9). 4521–4527. 179 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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