Ryan S. Green
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Toxin Mechanisms and Immunotoxins
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
-
- Galectins and Cancer Biology 3
- Toxin Mechanisms and Immunotoxins 3
-
- Glycosylation and Glycoproteins Research 4
- Sphingolipid Metabolism and Signaling 1
- Co-authors
- Jamey D. Marth (4 shared papers)Daniel Chui (2 shared papers)Erica L. Stone (1 shared paper)Marilyn G. Farquhar (1 shared paper)Mari Tenno (1 shared paper)Eero Lehtonen (1 shared paper)Kurt W. Marek (1 shared paper)Tammie McQuistan (1 shared paper)
- Journals
- Tropical Medicine and Infectious Disease (2 papers)Molecular and Cellular Biology (2 papers)Infection and Immunity (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Cellular Microbiology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Ryan S. Green
12 papers receiving 520 citations
Peers
Comparison fields: 5 of 57
- Immunology 285
- Parasitology 77
- Molecular Biology 333
- Radiology, Nuclear Medicine and Imaging 65
- Immunology and Allergy 16
Countries citing papers authored by Ryan S. Green
This map shows the geographic impact of Ryan S. Green'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 S. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan S. Green more than expected).
Fields of papers citing papers by Ryan S. Green
This network shows the impact of papers produced by Ryan S. Green. 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 S. Green. The network helps show where Ryan S. Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan S. Green, 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 | 2001 | 168 | |
| 2 | 2007 | 126 | |
| 3 | 2006 | 63 | |
| 4 | 2006 | 44 | |
| 5 | 2017 | 36 | |
| 6 | 2019 | 24 | |
| 7 | 2020 | 20 | |
| 8 | 2018 | 14 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2025 | 0 |
About Ryan S. Green
Ryan S. Green is a scholar working on Immunology, Molecular Biology, Parasitology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 13 papers that have together received 529 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (5 papers), Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Mosquito-borne diseases and control (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infections and Vectors (2 papers) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Immunology (285 citations), Parasitology (77 citations), Molecular Biology (333 citations), Radiology, Nuclear Medicine and Imaging (65 citations) and Immunology and Allergy (16 citations). Ryan S. Green has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jamey D. Marth, Daniel Chui, Erica L. Stone, Marilyn G. Farquhar, Mari Tenno, Eero Lehtonen, Kurt W. Marek, Tammie McQuistan, Howard R. Morris and Anne Dell. Their work appears in journals such as Tropical Medicine and Infectious Disease, Molecular and Cellular Biology, Infection and Immunity, Frontiers in Cellular and Infection Microbiology and Cellular Microbiology.
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.