Rachel E. Gate
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
Papers in ⓘ
-
- Single-cell and spatial transcriptomics 3
- CRISPR and Genetic Engineering 2
- Ion channel regulation and function 1
- Co-authors
- Alexander Marson (6 shared papers)Chun Ye (6 shared papers)Kathrin Schumann (2 shared papers)Kole T. Roybal (1 shared paper)Levi J. Rupp (1 shared paper)Wendell A. Lim (1 shared paper)Meena Subramaniam (3 shared papers)Jeffrey A. Bluestone (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Nature Immunology (1 paper)Scientific Reports (1 paper)Cell (1 paper)Neuron (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Rachel E. Gate
8 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Business and International Management 74
- Immunology 541
- Oncology 694
- Molecular Biology 1.2k
- Aging 25
Countries citing papers authored by Rachel E. Gate
This map shows the geographic impact of Rachel E. Gate'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 Rachel E. Gate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel E. Gate more than expected).
Fields of papers citing papers by Rachel E. Gate
This network shows the impact of papers produced by Rachel E. Gate. 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 Rachel E. Gate. The network helps show where Rachel E. Gate may publish in the future.
Co-authors
The 25 scholars most cited alongside Rachel E. Gate, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cells Hit paper breakdown → | 2017 | 579 |
| 2 | Generation of knock-in primary human T cells using Cas9 ribonucleoproteins Hit paper breakdown → | 2015 | 533 |
| 3 | Multiplexed droplet single-cell RNA-sequencing using natural genetic variation Hit paper breakdown → | 2017 | 525 |
| 4 | 2016 | 192 | |
| 5 | 2018 | 55 | |
| 6 | 2012 | 24 | |
| 7 | 2024 | 5 | |
| 8 | 2020 | 4 |
About Rachel E. Gate
Rachel E. Gate is a scholar working on Molecular Biology, Biomaterials, Oncology, Cancer Research and Rheumatology, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), CAR-T cell therapy research (2 papers), CRISPR and Genetic Engineering (2 papers), Ion channel regulation and function (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Nanowire Synthesis and Applications (1 paper) and Nanoparticles: synthesis and applications (1 paper). The work is most often cited by research in Business and International Management (74 citations), Immunology (541 citations), Oncology (694 citations), Molecular Biology (1.2k citations) and Aging (25 citations). Rachel E. Gate has collaborated with scholars based in United States and Canada. Frequent co-authors include Alexander Marson, Chun Ye, Kathrin Schumann, Kole T. Roybal, Levi J. Rupp, Wendell A. Lim, Meena Subramaniam, Jeffrey A. Bluestone, Jennifer A. Doudna and Dimitre R. Simeonov. Their work appears in journals such as Nature Biotechnology, Nature Immunology, Scientific Reports, Cell and Neuron.
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.