Ryan Underwood
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- CRISPR and Genetic Engineering 3
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Iva Greenwald (3 shared papers)Daniel D. Shaye (1 shared paper)Woojin Kim (1 shared paper)Emily R. Troemel (3 shared papers)Christina A. Cuomo (1 shared paper)Christopher A. Desjardins (1 shared paper)Kirthi C. Reddy (1 shared paper)Guled A. Osman (1 shared paper)
- Journals
- Genetics (2 papers)PLoS Pathogens (2 papers)Journal of Medical Virology (1 paper)Development (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Ryan Underwood
10 papers receiving 346 citations
Peers
Comparison fields: 5 of 70
- Aging 237
- Endocrine and Autonomic Systems 45
- Biological Psychiatry 15
- Molecular Biology 183
- Parasitology 12
Countries citing papers authored by Ryan Underwood
This map shows the geographic impact of Ryan Underwood'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 Underwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Underwood more than expected).
Fields of papers citing papers by Ryan Underwood
This network shows the impact of papers produced by Ryan Underwood. 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 Underwood. The network helps show where Ryan Underwood may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Underwood, 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 | 2018 | 204 | |
| 2 | 2019 | 70 | |
| 3 | 2021 | 41 | |
| 4 | 2017 | 14 | |
| 5 | 2023 | 5 | |
| 6 | 2020 | 5 | |
| 7 | 2025 | 4 | |
| 8 | 2024 | 1 | |
| 9 | Hospitality and Tourism Education Skill Standards: Grade 12. | 2010 | 1 |
| 10 | 2024 | 1 |
About Ryan Underwood
Ryan Underwood is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Infectious Diseases and Astronomy and Astrophysics, having authored 10 papers that have together received 346 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), CRISPR and Genetic Engineering (3 papers), Circadian rhythm and melatonin (2 papers), Adolescent and Pediatric Healthcare (1 paper), Superconducting and THz Device Technology (1 paper), Tourism, Volunteerism, and Development (1 paper), Dark Matter and Cosmic Phenomena (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Aging (237 citations), Endocrine and Autonomic Systems (45 citations), Biological Psychiatry (15 citations), Molecular Biology (183 citations) and Parasitology (12 citations). Ryan Underwood has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Iva Greenwald, Daniel D. Shaye, Woojin Kim, Emily R. Troemel, Christina A. Cuomo, Christopher A. Desjardins, Kirthi C. Reddy, Guled A. Osman, Tal Dror and Michalis Barkoulas. Their work appears in journals such as Genetics, PLoS Pathogens, Journal of Medical Virology, Development and PLoS Genetics.
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.