Ryan Swanson

552 total citations · 1 hit paper
11 papers, 223 citations indexed

About

Ryan Swanson is a scholar working on Oncology, Immunology and Infectious Diseases. According to data from OpenAlex, Ryan Swanson has authored 11 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Ryan Swanson's work include Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers) and HIV Research and Treatment (2 papers). Ryan Swanson is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers) and HIV Research and Treatment (2 papers). Ryan Swanson collaborates with scholars based in United States. Ryan Swanson's co-authors include Scott W. Wong, Eric P. Bergquam, Stanley M. Shiigi, John W. Fanton, Michael K. Axthelm, Nathan Wlodarchak, James Weger‐Lucarelli, Jorge E. Osorio, Matthew T. Aliota and R. Keith Slotkin and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Blood.

In The Last Decade

Ryan Swanson

10 papers receiving 218 citations

Hit Papers

Transposase-assisted target-site integration for efficien... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ryan Swanson United States 5 106 95 58 56 29 11 223
Adam Z. Cheng United States 9 76 0.7× 48 0.5× 60 1.0× 89 1.6× 16 0.6× 11 225
Melanie Kremer Germany 10 86 0.8× 21 0.2× 53 0.9× 65 1.2× 10 0.3× 12 261
Matthew T. Sacco United States 7 67 0.6× 34 0.4× 47 0.8× 195 3.5× 18 0.6× 7 298
Baca Chan Germany 8 200 1.9× 86 0.9× 104 1.8× 102 1.8× 8 0.3× 14 381
Kristopher D. Azarm United States 9 119 1.1× 30 0.3× 68 1.2× 48 0.9× 21 0.7× 12 198
Nathan Price United States 6 108 1.0× 33 0.3× 35 0.6× 28 0.5× 10 0.3× 11 181
Tanner M. Tessier Canada 10 57 0.5× 95 1.0× 85 1.5× 138 2.5× 10 0.3× 14 316
Katrin Schlie Germany 7 162 1.5× 22 0.2× 180 3.1× 99 1.8× 5 0.2× 7 365
Maher Elsheikh United States 8 41 0.4× 25 0.3× 90 1.6× 137 2.4× 12 0.4× 11 280
Joseph Sassine United States 7 191 1.8× 52 0.5× 57 1.0× 110 2.0× 18 0.6× 30 277

Countries citing papers authored by Ryan Swanson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan Swanson

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Swanson. A scholar is included among the top collaborators of Ryan Swanson 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 Ryan Swanson. Ryan Swanson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Liu, Peng, Kaushik Panda, Ryan Swanson, et al.. (2024). Transposase-assisted target-site integration for efficient plant genome engineering. Nature. 631(8021). 593–600. 50 indexed citations breakdown →
3.
DeLong, Robert K., et al.. (2022). Enzyme Nanoscale Interactions with Manganese Zinc Sulfide Give Insight into Potential Antiviral Mechanisms and SARS-CoV-2 Inhibition. ACS Pharmacology & Translational Science. 5(7). 449–457. 2 indexed citations
5.
Walkey, Carl, et al.. (2020). 576 NL-201, a de novo IL-2 and IL-15 agonist, demonstrates enhanced in vivo antitumor activity in combination with multiple cancer immunotherapies. Regular and Young Investigator Award Abstracts. A346.1–A346. 1 indexed citations
6.
Weger‐Lucarelli, James, et al.. (2015). Dissecting the Role of E2 Protein Domains in Alphavirus Pathogenicity. Journal of Virology. 90(5). 2418–2433. 33 indexed citations
7.
Viney, Joanne L., Heather A. Arnett, & Ryan Swanson. (2008). Cosignaling Complexity Gets More Convoluted: The Emerging Importance of the B7-Like Butyrophilin Family of Immune Regulators. Current Immunology Reviews. 4(1). 43–52. 1 indexed citations
8.
Wong, Scott W., Eric P. Bergquam, Ryan Swanson, et al.. (1999). Induction of B Cell Hyperplasia in Simian Immunodeficiency Virus–Infected Rhesus Macaques with the Simian Homologue of Kaposi's Sarcoma–Associated Herpesvirus. The Journal of Experimental Medicine. 190(6). 827–840. 102 indexed citations
9.
Swanson, Ryan, Eric P. Bergquam, & Scott W. Wong. (1998). Characterization of Rhesus Cytomegalovirus Genes Associated with Anti-viral Susceptibility. Virology. 240(2). 338–348. 26 indexed citations
10.
Wong, Scott W., Ryan Swanson, & Eric P. Bergquam. (1997). Expression of the gibbon ape leukemia virus receptor‐1 in rhesus macaque tissues. Journal of Medical Primatology. 26(1-2). 59–62.
11.
Swanson, Ryan, et al.. (1970). 471. Stigma and the psychiatric patient career. Nursing Research. 19(5). 478–478. 1 indexed citations

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.

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