Kyle Dyson
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Immunology 10
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 2
- Immune cells in cancer 2
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- RNA Interference and Gene Delivery 5
- DNA Repair Mechanisms 1
- Co-authors
- Duane A. Mitchell (14 shared papers)Adam Grippin (11 shared papers)Elias Sayour (9 shared papers)Jianping Huang (3 shared papers)Daniel Stewart (1 shared paper)Andrés M. Rubiano (1 shared paper)Chelsey S. Simmons (1 shared paper)Alicia Y. Hou (2 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Neuro-Oncology (2 papers)Genome Medicine (2 papers)Biomedicines (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Kyle Dyson
18 papers receiving 840 citations
Peers
Comparison fields: 5 of 84
- Oncology 423
- Immunology 281
- Genetics 69
- Biomedical Engineering 210
- Cancer Research 60
Countries citing papers authored by Kyle Dyson
This map shows the geographic impact of Kyle Dyson'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 Kyle Dyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Dyson more than expected).
Fields of papers citing papers by Kyle Dyson
This network shows the impact of papers produced by Kyle Dyson. 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 Kyle Dyson. The network helps show where Kyle Dyson may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Dyson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 305 | |
| 2 | 2019 | 99 | |
| 3 | 2017 | 96 | |
| 4 | 2019 | 82 | |
| 5 | 2019 | 70 | |
| 6 | 2020 | 35 | |
| 7 | 2024 | 32 | |
| 8 | 2018 | 29 | |
| 9 | 2018 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 11 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2022 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2019 | 0 | |
| 20 | 2026 | 0 |
About Kyle Dyson
Kyle Dyson is a scholar working on Immunology, Molecular Biology, Oncology, Biomedical Engineering and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 846 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), RNA Interference and Gene Delivery (5 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (2 papers), Health and Medical Research Impacts (2 papers), Cancer Research and Treatments (2 papers), Immune cells in cancer (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Oncology (423 citations), Immunology (281 citations), Genetics (69 citations), Biomedical Engineering (210 citations) and Cancer Research (60 citations). Kyle Dyson has collaborated with scholars based in United States and China. Frequent co-authors include Duane A. Mitchell, Adam Grippin, Elias Sayour, Jianping Huang, Daniel Stewart, Andrés M. Rubiano, Chelsey S. Simmons, Alicia Y. Hou, Zhiguo Lin and Na Meng. Their work appears in journals such as Clinical Cancer Research, Neuro-Oncology, Genome Medicine, Biomedicines and Molecular Therapy.
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.