Devin Gibbs
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
- Biological Psychiatry top 10%
Papers in
-
- Muscle Physiology and Disorders 12
- Congenital heart defects research 2
-
- Functional Brain Connectivity Studies 4
- Neural and Behavioral Psychology Studies 2
- Co-authors
- Moria J. Smoski (5 shared papers)Gabriel S. Dichter (5 shared papers)Tyler M. Moore (4 shared papers)Andrew Crowther (4 shared papers)Jared Minkel (4 shared papers)Chris Petty (3 shared papers)Joshua Bizzell (4 shared papers)Louis M. Kunkel (8 shared papers)
- Journals
- Journal of Affective Disorders (2 papers)Neuropsychopharmacology (2 papers)Biology Open (1 paper)Molecular Therapy (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesJapanBrazil
In The Last Decade
Devin Gibbs
20 papers receiving 735 citations
Peers
Comparison fields: 5 of 78
- Cognitive Neuroscience 346
- Biological Psychiatry 29
- Experimental and Cognitive Psychology 156
- Aging 10
- Neurology 41
Countries citing papers authored by Devin Gibbs
This map shows the geographic impact of Devin Gibbs'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 Devin Gibbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devin Gibbs more than expected).
Fields of papers citing papers by Devin Gibbs
This network shows the impact of papers produced by Devin Gibbs. 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 Devin Gibbs. The network helps show where Devin Gibbs may publish in the future.
Co-authors
The 25 scholars most cited alongside Devin Gibbs, 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 | 2014 | 280 | |
| 2 | 2015 | 101 | |
| 3 | 2016 | 64 | |
| 4 | 2016 | 44 | |
| 5 | 2022 | 33 | |
| 6 | 2017 | 30 | |
| 7 | 2016 | 26 | |
| 8 | 2014 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2018 | 19 | |
| 11 | 2014 | 18 | |
| 12 | 2023 | 18 | |
| 13 | 2016 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2020 | 11 | |
| 17 | 2023 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Devin Gibbs
Devin Gibbs is a scholar working on Molecular Biology, Cognitive Neuroscience, Physiology, Surgery and Experimental and Cognitive Psychology, having authored 20 papers that have together received 745 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Functional Brain Connectivity Studies (4 papers), Adipose Tissue and Metabolism (3 papers), Mental Health Research Topics (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Neural and Behavioral Psychology Studies (2 papers), Congenital heart defects research (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (346 citations), Biological Psychiatry (29 citations), Experimental and Cognitive Psychology (156 citations), Aging (10 citations) and Neurology (41 citations). Devin Gibbs has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Moria J. Smoski, Gabriel S. Dichter, Tyler M. Moore, Andrew Crowther, Jared Minkel, Chris Petty, Joshua Bizzell, Louis M. Kunkel, Matthew S. Alexander and Tory A. Eisenlohr‐Moul. Their work appears in journals such as Journal of Affective Disorders, Neuropsychopharmacology, Biology Open, Molecular Therapy and Human Molecular 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.