Justin Eyquem
- Oncology top 0.5%
- Molecular Biology top 5%
- Genetics top 1%
- Immunology top 2%
- Biomedical Engineering top 2%
- Co-authors
- Michel SadelainMohamad HamiehSjoukje J. C. van der StegenTheodoros GiavridisJorge Mansilla‐SotoKristen CunananAshlesha OdakAlessandra Piersigilli
- Topics
- CAR-T cell therapy research (30 papers)CRISPR and Genetic Engineering (13 papers)Immune Cell Function and Interaction (13 papers)
- Cited by
- OncologyImmunologyGenetics
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- United StatesFranceGermany
In The Last Decade
Justin Eyquem
30 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Oncology 3.6k
- Molecular Biology 2.0k
- Genetics 1.3k
- Immunology 1.3k
- Biomedical Engineering 1.2k
Countries citing papers authored by Justin Eyquem
This map shows the geographic impact of Justin Eyquem'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 Justin Eyquem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Eyquem more than expected).
Fields of papers citing papers by Justin Eyquem
This network shows the impact of papers produced by Justin Eyquem. 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 Justin Eyquem. The network helps show where Justin Eyquem may publish in the future.
Co-authorship network of co-authors of Justin Eyquem
This figure shows the co-authorship network connecting the top 25 collaborators of Justin Eyquem. A scholar is included among the top collaborators of Justin Eyquem 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 Justin Eyquem. Justin Eyquem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 82 | |
| 6 | 53 | |
| 7 | 45 | |
| 8 | 51 | |
| 9 | 26 | |
| 10 | 49 | |
| 11 | 85 | |
| 12 | CAR T cell–induced cytokine release syndrome is mediated by macrophages and abated by IL-1 blockadebreakdown → | 888 |
| 13 | 196 | |
| 14 | Calibration of CAR activation potential directs alternative T cell fates and therapeutic potencybreakdown → | 373 |
| 15 | 36 | |
| 16 | Targeting a CAR to the TRAC locus with CRISPR/Cas9 enhances tumour rejectionbreakdown → | 1307 |
| 17 | 226 | |
| 18 | Multiplex Genome-Edited T-cell Manufacturing Platform for “Off-the-Shelf” Adoptive T-cell Immunotherapiesbreakdown → | 468 |
| 19 | 109 | |
| 20 | 13 |
About Justin Eyquem
Justin Eyquem is a scholar working on Oncology, Immunology and Molecular Biology, having authored 33 papers that have together received 4.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (30 papers), CRISPR and Genetic Engineering (13 papers) and Immune Cell Function and Interaction (13 papers). The work is most often cited by research in Oncology (3.6k citations), Immunology (1.3k citations) and Genetics (1.3k citations). Justin Eyquem has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Michel Sadelain, Mohamad Hamieh, Sjoukje J. C. van der Stegen, Theodoros Giavridis, Jorge Mansilla‐Soto, Kristen Cunanan, Ashlesha Odak, Alessandra Piersigilli, Mithat Gönen and Annalisa Cabriolu. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.
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.