Diego Rayes
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Neuroscience and Neuropharmacology Research
Papers in
-
- Nicotinic Acetylcholine Receptors Study 13
- Ion channel regulation and function 7
- Receptor Mechanisms and Signaling 6
- Aging 11
- Genetics, Aging, and Longevity in Model Organisms 11
- Co-authors
- Cecilia Bouzat (13 shared papers)Marı́a José De Rosa (13 shared papers)Steven M. Sine (4 shared papers)Guillermo Spitzmaul (4 shared papers)Hailong Wang (1 shared paper)Fernanda Gumilar (1 shared paper)Palmer Taylor (1 shared paper)Scott B. Hansen (1 shared paper)
- Journals
- Molecular Pharmacology (5 papers)eLife (3 papers)Nature (2 papers)PLoS Biology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ArgentinaUnited StatesCanada
In The Last Decade
Diego Rayes
22 papers receiving 806 citations
Peers
Comparison fields: 5 of 75
- Aging 162
- Cellular and Molecular Neuroscience 190
- Endocrine and Autonomic Systems 66
- Insect Science 111
- Molecular Biology 594
Countries citing papers authored by Diego Rayes
This map shows the geographic impact of Diego Rayes'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 Diego Rayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Rayes more than expected).
Fields of papers citing papers by Diego Rayes
This network shows the impact of papers produced by Diego Rayes. 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 Diego Rayes. The network helps show where Diego Rayes may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Rayes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 237 | |
| 2 | 2009 | 96 | |
| 3 | 2004 | 69 | |
| 4 | 2021 | 61 | |
| 5 | 2009 | 47 | |
| 6 | 2005 | 37 | |
| 7 | 2012 | 37 | |
| 8 | 2019 | 32 | |
| 9 | 2004 | 30 | |
| 10 | 2007 | 29 | |
| 11 | 2019 | 22 | |
| 12 | 2006 | 20 | |
| 13 | 2019 | 20 | |
| 14 | 2002 | 19 | |
| 15 | 2018 | 18 | |
| 16 | 2001 | 15 | |
| 17 | 2010 | 13 | |
| 18 | 2015 | 7 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 1 |
About Diego Rayes
Diego Rayes is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Insect Science, having authored 23 papers that have together received 816 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (13 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), Ion channel regulation and function (7 papers), Receptor Mechanisms and Signaling (6 papers), Circadian rhythm and melatonin (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Insect and Pesticide Research (4 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Aging (162 citations), Cellular and Molecular Neuroscience (190 citations), Endocrine and Autonomic Systems (66 citations), Insect Science (111 citations) and Molecular Biology (594 citations). Diego Rayes has collaborated with scholars based in Argentina, United States and Canada. Frequent co-authors include Cecilia Bouzat, Marı́a José De Rosa, Steven M. Sine, Guillermo Spitzmaul, Hailong Wang, Fernanda Gumilar, Palmer Taylor, Scott B. Hansen, Natalia Andersen and Andrés Garelli. Their work appears in journals such as Molecular Pharmacology, eLife, Nature, PLoS Biology and Journal of Biological Chemistry.
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.