Ryan Swanson
Impact in
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- Viral-associated cancers and disorders
Papers in
- Oncology 6
- Cancer Immunotherapy and Biomarkers 3
- Viral-associated cancers and disorders 2
- CAR-T cell therapy research 2
- Peptidase Inhibition and Analysis 1
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- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- Scott W. Wong (3 shared papers)Eric P. Bergquam (3 shared papers)Michael K. Axthelm (1 shared paper)Stanley M. Shiigi (1 shared paper)John W. Fanton (1 shared paper)Matthew T. Aliota (1 shared paper)James Weger‐Lucarelli (1 shared paper)Nathan Wlodarchak (1 shared paper)
- Journals
- Blood (1 paper)Journal of Medical Primatology (1 paper)Nursing Research (1 paper)The Journal of Experimental Medicine (1 paper)Nature (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan Swanson
10 papers receiving 218 citations
Ryan Swanson's Hit Papers
Peers
Comparison fields: 5 of 36
- Oncology 95
- Virology 15
- Infectious Diseases 58
- Epidemiology 106
- Business and International Management 5
Countries citing papers authored by Ryan Swanson
This map shows the geographic impact of Ryan Swanson'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 Swanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Swanson more than expected).
Fields of papers citing papers by Ryan Swanson
This network shows the impact of papers produced by Ryan Swanson. 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 Swanson. The network helps show where Ryan Swanson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Swanson, 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 | 1999 | 102 | |
| 2 | Transposase-assisted target-site integration for efficient plant genome engineering Hit paper breakdown → | 2024 | 50 |
| 3 | 2015 | 33 | |
| 4 | 1998 | 26 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 2 | |
| 7 | 2008 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 1970 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 1997 | 0 |
About Ryan Swanson
Ryan Swanson is a scholar working on Oncology, Immunology, Infectious Diseases, Virology and Molecular Biology, having authored 11 papers that have together received 223 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), HIV Research and Treatment (2 papers), Viral-associated cancers and disorders (2 papers), CAR-T cell therapy research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Peptidase Inhibition and Analysis (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Oncology (95 citations), Virology (15 citations), Infectious Diseases (58 citations), Epidemiology (106 citations) and Business and International Management (5 citations). Ryan Swanson has collaborated with scholars based in United States. Frequent co-authors include Scott W. Wong, Eric P. Bergquam, Michael K. Axthelm, Stanley M. Shiigi, John W. Fanton, Matthew T. Aliota, James Weger‐Lucarelli, Nathan Wlodarchak, Jorge E. Osorio and Yu‐Hung Hung. Their work appears in journals such as Blood, Journal of Medical Primatology, Nursing Research, The Journal of Experimental Medicine and Nature.
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.