Ryan Gadd
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 3
- Viral gastroenteritis research and epidemiology 1
- COVID-19 Clinical Research Studies 1
- SARS-CoV-2 detection and testing 1
- Antimicrobial Resistance in Staphylococcus 1
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- Animal Virus Infections Studies 2
- Co-authors
- James M. Musser (3 shared papers)Randall J. Olsen (2 shared papers)James J. Davis (2 shared papers)Matthew Ojeda Saavedra (2 shared papers)Rashi M. Thakur (2 shared papers)Robert Olson (2 shared papers)Kristina Reppond (2 shared papers)Madison N. Shyer (2 shared papers)
- Partner nations
- United StatesFrance
In The Last Decade
Ryan Gadd
4 papers receiving 261 citations
Ryan Gadd's Hit Papers
Peers
Comparison fields: 5 of 44
- Infectious Diseases 191
- Modeling and Simulation 26
- Health 16
- Animal Science and Zoology 20
- Neurology 26
Countries citing papers authored by Ryan Gadd
This map shows the geographic impact of Ryan Gadd'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 Gadd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Gadd more than expected).
Fields of papers citing papers by Ryan Gadd
This network shows the impact of papers produced by Ryan Gadd. 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 Gadd. The network helps show where Ryan Gadd may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Gadd, 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 | Signals of Significantly Increased Vaccine Breakthrough, Decreased Hospitalization Rates, and Less Severe Disease in Patients with Coronavirus Disease 2019 Caused by the Omicron Variant of Severe Acute Respiratory Syndrome Coronavirus 2 in Houston, Texas Hit paper breakdown → | 2022 | 156 |
| 2 | 2021 | 88 | |
| 3 | 2021 | 17 | |
| 4 | 2024 | 2 |
About Ryan Gadd
Ryan Gadd is a scholar working on Infectious Diseases, Animal Science and Zoology, Clinical Biochemistry, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 4 papers that have together received 263 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper), COVID-19 Clinical Research Studies (1 paper), vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 detection and testing (1 paper), Streptococcal Infections and Treatments (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Infectious Diseases (191 citations), Modeling and Simulation (26 citations), Health (16 citations), Animal Science and Zoology (20 citations) and Neurology (26 citations). Ryan Gadd has collaborated with scholars based in United States and France. Frequent co-authors include James M. Musser, Randall J. Olsen, James J. Davis, Matthew Ojeda Saavedra, Rashi M. Thakur, Robert Olson, Kristina Reppond, Madison N. Shyer, Jessica Cambric and Akanksha Batajoo. Their work appears in journals such as American Journal Of Pathology and mBio.
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.