Kathleen B. Yates
- Immunology top 1%
- T-cell and B-cell Immunology 16
- Immune Cell Function and Interaction 15
- Immunotherapy and Immune Responses 6
- Immune cells in cancer 3
- Oncology top 2%
- CAR-T cell therapy research 10
- Cancer Immunotherapy and Biomarkers 5
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 5
- Single-cell and spatial transcriptomics 4
- Virology top 10%
- Aging top 10%
- Co-authors
- W. Nicholas HainingMartin W. LaFleurArlene H. SharpeJernej GodecFlavian D. BrownE. John WherryNir YosefKevin Bi
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Kathleen B. Yates
26 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Immunology 1.9k
- Oncology 1.5k
- Molecular Biology 1.1k
- Virology 69
- Aging 25
Countries citing papers authored by Kathleen B. Yates
This map shows the geographic impact of Kathleen B. Yates'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 Kathleen B. Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen B. Yates more than expected).
Fields of papers citing papers by Kathleen B. Yates
This network shows the impact of papers produced by Kathleen B. Yates. 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 Kathleen B. Yates. The network helps show where Kathleen B. Yates may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kathleen B. Yates, 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 | Simultaneous CRISPR screening and spatial transcriptomics reveal intracellular, intercellular, and functional transcriptional circuitsbreakdown → | 2025 | 18 |
| 2 | 2023 | 2 | |
| 3 | 2022 | 47 | |
| 4 | 2021 | 146 | |
| 5 | 2021 | 51 | |
| 6 | 2021 | 73 | |
| 7 | 2020 | 78 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 55 | |
| 10 | 2019 | 80 | |
| 11 | 2019 | 162 | |
| 12 | 2019 | 3 | |
| 13 | 2018 | 46 | |
| 14 | In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy targetbreakdown → | 2017 | 774 |
| 15 | 2017 | 69 | |
| 16 | The epigenetic landscape of T cell exhaustionbreakdown → | 2016 | 659 |
| 17 | 2015 | 262 | |
| 18 | 2014 | 267 | |
| 19 | 2013 | 8 | |
| 20 | 2013 | 1 |
About Kathleen B. Yates
Kathleen B. Yates is a scholar working on Immunology, Oncology and Transplantation, having authored 28 papers that have together received 3.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (15 papers), CAR-T cell therapy research (10 papers), Immunotherapy and Immune Responses (6 papers), CRISPR and Genetic Engineering (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Single-cell and spatial transcriptomics (4 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Immunology (1.9k citations), Oncology (1.5k citations) and Molecular Biology (1.1k citations). Kathleen B. Yates has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include W. Nicholas Haining, Martin W. LaFleur, Arlene H. Sharpe, Jernej Godec, Flavian D. Brown, E. John Wherry, Nir Yosef, Kevin Bi, R. Anthony Barnitz and Debattama R. Sen. Their work appears in journals such as Nature, Science and Cell.
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.