Ryan Tingle
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- Glycosylation and Glycoproteins Research 1
- vaccines and immunoinformatics approaches 1
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Oleksandr Kalyuzhniy (2 shared papers)Karen L. Saye-Francisco (1 shared paper)Robyn L. Stanfield (1 shared paper)Anita Sarkar (1 shared paper)Andreia M. Serra (1 shared paper)Shannon J. Sirk (1 shared paper)Thomas Gaj (1 shared paper)Ian A. Wilson (2 shared papers)
- Journals
- PLoS Pathogens (1 paper)The EMBO Journal (1 paper)Science Immunology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United States
In The Last Decade
Ryan Tingle
3 papers receiving 97 citations
Peers
Comparison fields: 5 of 30
- Virology 55
- Radiology, Nuclear Medicine and Imaging 29
- Infectious Diseases 23
- Business and International Management 2
- Molecular Biology 61
Countries citing papers authored by Ryan Tingle
This map shows the geographic impact of Ryan Tingle'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 Tingle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Tingle more than expected).
Fields of papers citing papers by Ryan Tingle
This network shows the impact of papers produced by Ryan Tingle. 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 Tingle. The network helps show where Ryan Tingle may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Tingle, 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 | 2017 | 56 | |
| 2 | 2014 | 22 | |
| 3 | 2020 | 19 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 |
About Ryan Tingle
Ryan Tingle is a scholar working on Molecular Biology, Virology, Radiology, Nuclear Medicine and Imaging, Immunology and Oncology, having authored 5 papers that have together received 97 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), CRISPR and Genetic Engineering (2 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CAR-T cell therapy research (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Glycosylation and Glycoproteins Research (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Virology (55 citations), Radiology, Nuclear Medicine and Imaging (29 citations), Infectious Diseases (23 citations), Business and International Management (2 citations) and Molecular Biology (61 citations). Ryan Tingle has collaborated with scholars based in United States. Frequent co-authors include Oleksandr Kalyuzhniy, Karen L. Saye-Francisco, Robyn L. Stanfield, Anita Sarkar, Andreia M. Serra, Shannon J. Sirk, Thomas Gaj, Ian A. Wilson, Devin Sok and Yumiko Adachi. Their work appears in journals such as PLoS Pathogens, The EMBO Journal, Science Immunology, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.