Levi J. Rupp

3.3k total citations · 4 hit papers
12 papers, 2.6k citations indexed

About

Levi J. Rupp is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Levi J. Rupp has authored 12 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Levi J. Rupp's work include CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Levi J. Rupp is often cited by papers focused on CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Levi J. Rupp collaborates with scholars based in United States. Levi J. Rupp's co-authors include Kole T. Roybal, Wendell A. Lim, Krista A. McNally, Leonardo Morsut, Jason S. Park, Alexander Marson, Kathrin Schumann, Rachel E. Gate, Chun Ye and Joseph C. Sun and has published in prestigious journals such as Cell, Journal of Clinical Oncology and Immunity.

In The Last Decade

Levi J. Rupp

12 papers receiving 2.5k citations

Hit Papers

Precision Tumor Recognition by T Cells With Combinatorial... 2012 2026 2016 2021 2016 2017 2012 2016 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. 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 →
  3. The Transcription Factors T-bet and Eomes Control Key Checkpoints of Natural Killer Cell Maturation
    2012 573 citations Scott M. Gordon, Julie Chaix et al. Immunity profile →
  4. 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 →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Levi J. Rupp United States 8 1.5k 1.1k 970 635 501 12 2.6k
Laurent Poirot France 22 2.0k 1.3× 1.1k 1.1× 1.4k 1.4× 718 1.1× 1.1k 2.2× 46 3.2k
Albert Lo United States 17 2.0k 1.3× 801 0.8× 1.0k 1.1× 620 1.0× 482 1.0× 18 2.8k
Sourindra N. Maiti United States 25 2.0k 1.3× 1.3k 1.3× 1.7k 1.7× 471 0.7× 806 1.6× 46 3.5k
Rachel C. Lynn United States 16 2.4k 1.6× 1.4k 1.3× 938 1.0× 698 1.1× 634 1.3× 30 3.2k
Jorge Mansilla‐Soto United States 17 2.1k 1.4× 1.0k 1.0× 1.6k 1.6× 695 1.1× 873 1.7× 33 3.4k
Valentina Hoyos United States 19 2.1k 1.4× 1.0k 0.9× 838 0.9× 667 1.1× 782 1.6× 35 2.6k
Dhanalakshmi Chinnasamy United States 16 1.6k 1.1× 1.0k 1.0× 778 0.8× 371 0.6× 580 1.2× 25 2.2k
Jean‐Baptiste Latouche France 20 1.6k 1.0× 1.2k 1.1× 679 0.7× 301 0.5× 542 1.1× 47 2.3k
Eric Yvon United States 28 2.6k 1.7× 1.8k 1.7× 900 0.9× 698 1.1× 867 1.7× 49 3.6k
Gabriela Plesa United States 26 2.9k 1.9× 1.4k 1.3× 1.8k 1.8× 829 1.3× 1.3k 2.6× 45 4.5k

Countries citing papers authored by Levi J. Rupp

Since Specialization
Citations

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

Fields of papers citing papers by Levi J. Rupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Levi J. Rupp

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

All Works

12 of 12 papers shown
1.
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 →
2.
Santoro, Stephen P., Tiffany Tse, Michael J. Spelman, et al.. (2017). Evaluating the reversible control of an engineered CAR T cell ON-switch.. Journal of Clinical Oncology. 35(15_suppl). e14550–e14550. 2 indexed citations
3.
Roybal, Kole T., Jasper Z. Williams, Leonardo Morsut, et al.. (2016). Engineering T Cells with Customized Therapeutic Response Programs Using Synthetic Notch Receptors. Cell. 167(2). 419–432.e16. 524 indexed citations breakdown →
4.
Roybal, Kole T., Levi J. Rupp, Leonardo Morsut, et al.. (2016). Precision Tumor Recognition by T Cells With Combinatorial Antigen-Sensing Circuits. Cell. 164(4). 770–779. 727 indexed citations breakdown →
5.
Rupp, Levi J., Kathrin Schumann, Kole T. Roybal, Alexander Marson, & Wendell A. Lim. (2016). CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cells. The Journal of Immunology. 196(1_Supplement). 214.24–214.24. 13 indexed citations
6.
Wu, Chia‐Yung, Levi J. Rupp, Kole T. Roybal, & Wendell A. Lim. (2015). Synthetic biology approaches to engineer T cells. Current Opinion in Immunology. 35. 123–130. 29 indexed citations
7.
Rupp, Levi J., Liang Chen, Michael S. Krangel, & Craig H. Bassing. (2015). Molecular Analysis of Mouse T Cell Receptor α and β Gene Rearrangements. Methods in molecular biology. 1323. 179–202. 3 indexed citations
8.
Majumder, Kinjal, Levi J. Rupp, Katherine Yang‐Iott, et al.. (2015). Domain-Specific and Stage-Intrinsic Changes in Tcrb Conformation during Thymocyte Development. The Journal of Immunology. 195(3). 1262–1272. 11 indexed citations
9.
Rupp, Levi J., Andrea C. Carpenter, Maria Elena De Obaldia, et al.. (2014). The microRNA Biogenesis Machinery Modulates Lineage Commitment during αβ T Cell Development. The Journal of Immunology. 193(8). 4032–4042. 7 indexed citations
10.
Rupp, Levi J., et al.. (2013). Requirement for Dicer in Survival of Proliferating Thymocytes Experiencing DNA Double-Strand Breaks. The Journal of Immunology. 190(7). 3256–3266. 3 indexed citations
11.
Gordon, Scott M., Julie Chaix, Levi J. Rupp, et al.. (2012). The Transcription Factors T-bet and Eomes Control Key Checkpoints of Natural Killer Cell Maturation. Immunity. 36(1). 55–67. 573 indexed citations breakdown →
12.
Navaratnarajah, Chanakha K., Numan Oezguen, Levi J. Rupp, et al.. (2011). The heads of the measles virus attachment protein move to transmit the fusion-triggering signal. Nature Structural & Molecular Biology. 18(2). 128–134. 86 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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