Loren M. DeVito
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 7
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- Memory and Neural Mechanisms 7
- Co-authors
- Howard Eichenbaum (6 shared papers)Paul W. Frankland (2 shared papers)Benjamin R. Kanter (3 shared papers)Cátia M. Teixeira (1 shared paper)Andrés M. Lozano (1 shared paper)Scellig Stone (1 shared paper)Sheena A. Josselyn (1 shared paper)Kirill Zaslavsky (1 shared paper)
- Journals
- Journal of Neuroscience (3 papers)Neurobiology of Learning and Memory (2 papers)Annals of the New York Academy of Sciences (2 papers)Genes Brain & Behavior (2 papers)Cell stem cell (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Loren M. DeVito
14 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Developmental Neuroscience 228
- Cellular and Molecular Neuroscience 548
- Cognitive Neuroscience 482
- Behavioral Neuroscience 84
- Biological Psychiatry 50
Countries citing papers authored by Loren M. DeVito
This map shows the geographic impact of Loren M. DeVito'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 Loren M. DeVito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loren M. DeVito more than expected).
Fields of papers citing papers by Loren M. DeVito
This network shows the impact of papers produced by Loren M. DeVito. 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 Loren M. DeVito. The network helps show where Loren M. DeVito may publish in the future.
Co-authors
The 25 scholars most cited alongside Loren M. DeVito, 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 | 2012 | 387 | |
| 2 | 2011 | 307 | |
| 3 | 2009 | 128 | |
| 4 | 2009 | 118 | |
| 5 | 2011 | 114 | |
| 6 | 2010 | 101 | |
| 7 | 2010 | 57 | |
| 8 | 2009 | 52 | |
| 9 | 2006 | 45 | |
| 10 | 2021 | 35 | |
| 11 | 2014 | 20 | |
| 12 | 2012 | 16 | |
| 13 | 2011 | 14 | |
| 14 | 2022 | 7 |
About Loren M. DeVito
Loren M. DeVito is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Social Psychology, Molecular Biology and Sensory Systems, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (7 papers), Neuroendocrine regulation and behavior (4 papers), Olfactory and Sensory Function Studies (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Circadian rhythm and melatonin (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (228 citations), Cellular and Molecular Neuroscience (548 citations), Cognitive Neuroscience (482 citations), Behavioral Neuroscience (84 citations) and Biological Psychiatry (50 citations). Loren M. DeVito has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Howard Eichenbaum, Paul W. Frankland, Benjamin R. Kanter, Cátia M. Teixeira, Andrés M. Lozano, Scellig Stone, Sheena A. Josselyn, Kirill Zaslavsky, David R. Kaplan and David Chun Cheong Tsui. Their work appears in journals such as Journal of Neuroscience, Neurobiology of Learning and Memory, Annals of the New York Academy of Sciences, Genes Brain & Behavior and Cell stem cell.
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.