Daniel D. Shaye
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
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- CRISPR and Genetic Engineering 3
- Ion channel regulation and function 1
- Muscle Physiology and Disorders 1
- Fungal and yeast genetics research 1
- Co-authors
- Iva Greenwald (8 shared papers)Woojin Kim (1 shared paper)Ryan Underwood (1 shared paper)Marta Llimargas (1 shared paper)Jordi Casanova (1 shared paper)Martha C. Soto (1 shared paper)Katherine L. Luo (1 shared paper)Jan Kitajewski (2 shared papers)
- Journals
- Development (3 papers)PLoS ONE (2 papers)Developmental Cell (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Daniel D. Shaye
12 papers receiving 906 citations
Peers
Comparison fields: 5 of 89
- Aging 506
- Endocrine and Autonomic Systems 120
- Cell Biology 172
- Molecular Biology 501
- Biological Psychiatry 11
Countries citing papers authored by Daniel D. Shaye
This map shows the geographic impact of Daniel D. Shaye'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 Daniel D. Shaye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Shaye more than expected).
Fields of papers citing papers by Daniel D. Shaye
This network shows the impact of papers produced by Daniel D. Shaye. 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 Daniel D. Shaye. The network helps show where Daniel D. Shaye may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniel D. Shaye, 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 | 2011 | 334 | |
| 2 | 2018 | 204 | |
| 3 | 2002 | 127 | |
| 4 | 2008 | 96 | |
| 5 | 2005 | 60 | |
| 6 | 2015 | 40 | |
| 7 | 2016 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2019 | 5 | |
| 11 | 2014 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2025 | 0 |
About Daniel D. Shaye
Daniel D. Shaye is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Cell Biology and Social Psychology, having authored 13 papers that have together received 911 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (10 papers), Circadian rhythm and melatonin (3 papers), CRISPR and Genetic Engineering (3 papers), Cellular Mechanics and Interactions (2 papers), Ion channel regulation and function (1 paper), Muscle Physiology and Disorders (1 paper), Fungal and yeast genetics research (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Aging (506 citations), Endocrine and Autonomic Systems (120 citations), Cell Biology (172 citations), Molecular Biology (501 citations) and Biological Psychiatry (11 citations). Daniel D. Shaye has collaborated with scholars based in United States and Spain. Frequent co-authors include Iva Greenwald, Woojin Kim, Ryan Underwood, Marta Llimargas, Jordi Casanova, Martha C. Soto, Katherine L. Luo, Jan Kitajewski, Dolly Mehta and Yuting Deng. Their work appears in journals such as Development, PLoS ONE, Developmental Cell, Arteriosclerosis Thrombosis and Vascular Biology and G3 Genes Genomes 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.