Kevin G. Young
- Cell Biology top 5%
- Cellular Mechanics and Interactions 6
- Skin and Cellular Biology Research 5
-
- Genetic Neurodegenerative Diseases 4
- Neurobiology and Insect Physiology Research 3
- Physiology top 10%
-
- Avian ecology and behavior 7
- Physiological and biochemical adaptations 4
-
- Neuroinflammation and Neurodegeneration Mechanisms 3
-
- Immunotherapy and Immune Responses 3
- Co-authors
- Rashmi KotharyJohn W. CopelandJeffrey I. GoldbergJohn P. ChangMadeline PoolChelsea A. SmallwoodKunal BhanotGilbert Bernier
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (1 paper)PLoS ONE (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Kevin G. Young
29 papers receiving 615 citations
Peers
Comparison fields: 5 of 104
- Cell Biology 249
- Cellular and Molecular Neuroscience 155
- Physiology 26
- Aging 8
- Ecological Modeling 16
Countries citing papers authored by Kevin G. Young
This map shows the geographic impact of Kevin G. Young'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 Kevin G. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin G. Young more than expected).
Fields of papers citing papers by Kevin G. Young
This network shows the impact of papers produced by Kevin G. Young. 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 Kevin G. Young. The network helps show where Kevin G. Young may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin G. Young, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 7 | |
| 6 | Training Artemis Astronauts to Explore the Moon | 2020 | 2 |
| 7 | 2019 | 10 | |
| 8 | 2018 | 5 | |
| 9 | 2017 | 9 | |
| 10 | 2013 | 31 | |
| 11 | 2012 | 8 | |
| 12 | 2009 | 10 | |
| 13 | 2008 | 93 | |
| 14 | 2008 | 53 | |
| 15 | 2007 | 44 | |
| 16 | 2005 | 50 | |
| 17 | 2005 | 32 | |
| 18 | 2003 | 41 | |
| 19 | 1999 | 21 | |
| 20 | 1997 | 1 |
About Kevin G. Young
Kevin G. Young is a scholar working on Cell Biology, Ecological Modeling and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 622 indexed citations. Recurring topics across this work include Avian ecology and behavior (7 papers), Cellular Mechanics and Interactions (6 papers), Skin and Cellular Biology Research (5 papers), Genetic Neurodegenerative Diseases (4 papers), Physiological and biochemical adaptations (4 papers), Neurobiology and Insect Physiology Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Cell Biology (249 citations), Cellular and Molecular Neuroscience (155 citations) and Physiology (26 citations). Kevin G. Young has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Rashmi Kothary, John W. Copeland, Jeffrey I. Goldberg, John P. Chang, Madeline Pool, Chelsea A. Smallwood, Kunal Bhanot, Gilbert Bernier, Lakshmi Krishnan and Subash Sad. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.
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.