Ryan Urak
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 25
- CAR-T cell therapy research 25
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- Viral Infectious Diseases and Gene Expression in Insects 6
- Co-authors
- Stephen J. Forman (27 shared papers)Xiuli Wang (26 shared papers)Christine E. Brown (11 shared papers)Renate Starr (2 shared papers)Xin Yang (2 shared papers)Laura Lim (9 shared papers)Brenda Aguilar (3 shared papers)ChingLam W. Wong (5 shared papers)
- Journals
- Blood (9 papers)Molecular Therapy (3 papers)Journal for ImmunoTherapy of Cancer (3 papers)OncoImmunology (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesAustraliaBrazil
In The Last Decade
Ryan Urak
31 papers receiving 1.1k citations
Ryan Urak's Hit Papers
Peers
Comparison fields: 5 of 52
- Oncology 929
- Immunology 361
- Genetics 242
- Hematology 73
- Biomedical Engineering 282
Countries citing papers authored by Ryan Urak
This map shows the geographic impact of Ryan Urak'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 Ryan Urak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Urak more than expected).
Fields of papers citing papers by Ryan Urak
This network shows the impact of papers produced by Ryan Urak. 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 Ryan Urak. The network helps show where Ryan Urak may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Urak, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IL15 Enhances CAR-T Cell Antitumor Activity by Reducing mTORC1 Activity and Preserving Their Stem Cell Memory Phenotype Hit paper breakdown → | 2019 | 347 |
| 2 | 2017 | 153 | |
| 3 | 2014 | 151 | |
| 4 | 2017 | 124 | |
| 5 | 2017 | 85 | |
| 6 | 2015 | 53 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 27 | |
| 9 | 2017 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2016 | 21 | |
| 12 | 2018 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2022 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2023 | 10 | |
| 17 | 2020 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2015 | 3 | |
| 20 | 2018 | 3 |
About Ryan Urak
Ryan Urak is a scholar working on Oncology, Molecular Biology, Immunology, Biomedical Engineering and Genetics, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (25 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Nanowire Synthesis and Applications (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Virus-based gene therapy research (4 papers) and Silicon Carbide Semiconductor Technologies (3 papers). The work is most often cited by research in Oncology (929 citations), Immunology (361 citations), Genetics (242 citations), Hematology (73 citations) and Biomedical Engineering (282 citations). Ryan Urak has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Stephen J. Forman, Xiuli Wang, Christine E. Brown, Renate Starr, Xin Yang, Laura Lim, Brenda Aguilar, ChingLam W. Wong, Miriam Walter and Sandra H. Thomas. Their work appears in journals such as Blood, Molecular Therapy, Journal for ImmunoTherapy of Cancer, OncoImmunology and Clinical Cancer 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.