Levi J. Rupp

3.3k citations
12 papers · 2.6k indexed · 4 hit papers · h-index 8
Topics
CAR-T cell therapy research (8 papers)Immune Cell Function and Interaction (5 papers)T-cell and B-cell Immunology (5 papers)
Partner nations
United States

In The Last Decade

Levi J. Rupp

12 papers receiving 2.5k citations

Hit Papers

Precision Tumor Recognition by T Cells With Combinatorial...20122026201620212016201720122016200400600

Peers

Levi J. Rupp
Comparison fields: 5 of 80
  • Oncology 1.5k
  • Immunology 1.1k
  • Molecular Biology 970
  • Biomedical Engineering 635
  • Genetics 501
Replace Sourindra N. Maiti with:
Sourindra N. Maiti United States
Junichi Mineno Japan
Andrea Schmidts United States
Elena Provasi Italy
Laurent Poirot France
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Albert Lo United States
Rachel E. Gate United States
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Levi J. Rupp relative to Sourindra N. Maiti United States Sourindra N. Maiti's profile →
Citations per field
00.5×1.5×
Sourindra N. Maiti · 1×
Citations per year

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
#WorkIndexed citations
1
CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cellsbreakdown →
579
2 2
3
Engineering T Cells with Customized Therapeutic Response Programs Using Synthetic Notch Receptorsbreakdown →
524
4
Precision Tumor Recognition by T Cells With Combinatorial Antigen-Sensing Circuitsbreakdown →
727
5 13
6 29
7 3
8 11
9 7
10 3
11
The Transcription Factors T-bet and Eomes Control Key Checkpoints of Natural Killer Cell Maturationbreakdown →
573
12 86

About Levi J. Rupp

Levi J. Rupp is a scholar working on Immunology, Oncology and Molecular Biology, having authored 12 papers that have together received 2.6k indexed citations. Recurring topics across this 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). The work is most often cited by research in Oncology (1.5k citations), Immunology (1.1k citations) and Genetics (501 citations). Levi J. Rupp has collaborated with scholars based in United States. Frequent 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. Their work appears in journals such as Cell, Journal of Clinical Oncology and Immunity.

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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