Kathryn E. Yost
- Oncology top 2%
- Immunology top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Epidemiology
- Co-authors
- Howard Y. ChangAnsuman T. SatpathyDaniel K. WellsChristina CurtisYanyan QiKavita Y. SarinJeffrey M. GranjaAnne Lynn S. Chang
- Topics
- CAR-T cell therapy research (7 papers)Immune Cell Function and Interaction (7 papers)T-cell and B-cell Immunology (6 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Kathryn E. Yost
21 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Oncology 1.1k
- Immunology 1.1k
- Molecular Biology 1.1k
- Cancer Research 444
- Epidemiology 155
Countries citing papers authored by Kathryn E. Yost
This map shows the geographic impact of Kathryn E. Yost'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 Kathryn E. Yost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn E. Yost more than expected).
Fields of papers citing papers by Kathryn E. Yost
This network shows the impact of papers produced by Kathryn E. Yost. 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 Kathryn E. Yost. The network helps show where Kathryn E. Yost may publish in the future.
Co-authorship network of co-authors of Kathryn E. Yost
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn E. Yost. A scholar is included among the top collaborators of Kathryn E. Yost 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 Kathryn E. Yost. Kathryn E. Yost is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 16 | |
| 4 | 15 | |
| 5 | 97 | |
| 6 | 40 | |
| 7 | Genome-wide CRISPR screens of T cell exhaustion identify chromatin remodeling factors that limit T cell persistencebreakdown → | 201 |
| 8 | 74 | |
| 9 | 20 | |
| 10 | 1 | |
| 11 | 69 | |
| 12 | Impaired mitochondrial oxidative phosphorylation limits the self-renewal of T cells exposed to persistent antigenbreakdown → | 343 |
| 13 | 37 | |
| 14 | 6 | |
| 15 | Clonal replacement of tumor-specific T cells following PD-1 blockadebreakdown → | 876 |
| 16 | 34 | |
| 17 | 78 | |
| 18 | 313 | |
| 19 | 11 | |
| 20 | The International Sea-Bed Authority Decision-Making Process: Does It Give a Proportionate Voice to the Participant's Interests in Deep Sea Mining? | 1 |
About Kathryn E. Yost
Kathryn E. Yost is a scholar working on Immunology, Cancer Research and Oncology, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (1.1k citations) and Cancer Research (444 citations). Kathryn E. Yost has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Howard Y. Chang, Ansuman T. Satpathy, Daniel K. Wells, Christina Curtis, Yanyan Qi, Kavita Y. Sarin, Jeffrey M. Granja, Anne Lynn S. Chang, Mark M. Davis and Rohit Gupta. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.