Sharon Crook
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
- Biophysics 17
- Cell Image Analysis Techniques 17
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- Neural dynamics and brain function 32
- Co-authors
- James M. BowerBard ErmentroutPadraig GleesonR. Angus SilverRobert C. CannonMichael VanierSteven M. BaerJorge Otero‐Millan
- Journals
- BMC Neuroscience (11 papers)Journal of Computational Neuroscience (5 papers)Frontiers in Neuroinformatics (3 papers)eLife (3 papers)Neuron (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Sharon Crook
53 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Cognitive Neuroscience 609
- Biophysics 134
- Cellular and Molecular Neuroscience 295
- Aging 21
- Statistical and Nonlinear Physics 123
Countries citing papers authored by Sharon Crook
This map shows the geographic impact of Sharon Crook'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 Sharon Crook with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon Crook more than expected).
Fields of papers citing papers by Sharon Crook
This network shows the impact of papers produced by Sharon Crook. 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 Sharon Crook. The network helps show where Sharon Crook may publish in the future.
Co-authors
The 25 scholars most cited alongside Sharon Crook, 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 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 9 | |
| 6 | 2021 | 41 | |
| 7 | 2021 | 6 | |
| 8 | 2018 | 5 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 9 | |
| 11 | 2015 | 13 | |
| 12 | 2014 | 20 | |
| 13 | 2012 | 9 | |
| 14 | 2012 | 15 | |
| 15 | 2007 | 2 | |
| 16 | 2007 | 5 | |
| 17 | 2007 | 6 | |
| 18 | 2007 | 40 | |
| 19 | Structural and Biophysical Mechanisms Underlying Dynamic Sensitivity of Primary Sensory Interneurons in the Cricket Cercal Sensory System | 2002 | 1 |
| 20 | 1998 | 37 |
About Sharon Crook
Sharon Crook is a scholar working on Biophysics, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Aging and Computer Science Applications, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (32 papers), Cell Image Analysis Techniques (17 papers), Gene Regulatory Network Analysis (9 papers), Neurobiology and Insect Physiology Research (7 papers), Neuroscience and Neural Engineering (7 papers), Photoreceptor and optogenetics research (6 papers), Advanced Memory and Neural Computing (6 papers) and stochastic dynamics and bifurcation (6 papers). The work is most often cited by research in Cognitive Neuroscience (609 citations), Biophysics (134 citations), Cellular and Molecular Neuroscience (295 citations), Aging (21 citations) and Statistical and Nonlinear Physics (123 citations). Sharon Crook has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include James M. Bower, Bard Ermentrout, Padraig Gleeson, R. Angus Silver, Robert C. Cannon, Michael Vanier, Steven M. Baer, Jorge Otero‐Millan, Michael B. McCamy and Stephen L. Macknik. Their work appears in journals such as BMC Neuroscience, Journal of Computational Neuroscience, Frontiers in Neuroinformatics, eLife and Neuron.
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.