John Wade
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neuropharmacology Research 13
- Neuroscience and Neural Engineering 11
- Photoreceptor and optogenetics research 5
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- Neural dynamics and brain function 16
- Co-authors
- Liam McDaid (22 shared papers)Jim Harkin (15 shared papers)José Santos (2 shared papers)Vincenzo Crunelli (3 shared papers)Junxiu Liu (7 shared papers)J. A. Scott Kelso (2 shared papers)Liam Maguire (5 shared papers)KongFatt Wong‐Lin (4 shared papers)
- Journals
- PLoS Computational Biology (3 papers)Frontiers in Cellular Neuroscience (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Neural Networks (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
John Wade
28 papers receiving 604 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 351
- Cognitive Neuroscience 327
- Neurology 102
- Developmental Neuroscience 23
- Electrical and Electronic Engineering 327
Countries citing papers authored by John Wade
This map shows the geographic impact of John Wade'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 John Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Wade more than expected).
Fields of papers citing papers by John Wade
This network shows the impact of papers produced by John Wade. 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 John Wade. The network helps show where John Wade may publish in the future.
Co-authors
The 25 scholars most cited alongside John Wade, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 142 | |
| 2 | 2011 | 96 | |
| 3 | 2017 | 50 | |
| 4 | 2018 | 49 | |
| 5 | 2012 | 48 | |
| 6 | 2016 | 34 | |
| 7 | 2015 | 34 | |
| 8 | 2018 | 29 | |
| 9 | 2016 | 15 | |
| 10 | 2008 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2011 | 13 | |
| 13 | 2013 | 11 | |
| 14 | 2010 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2007 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2016 | 5 |
About John Wade
John Wade is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Neurology and Molecular Biology, having authored 28 papers that have together received 621 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Neuroscience and Neuropharmacology Research (13 papers), Neuroscience and Neural Engineering (11 papers), Advanced Memory and Neural Computing (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Photoreceptor and optogenetics research (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (351 citations), Cognitive Neuroscience (327 citations), Neurology (102 citations), Developmental Neuroscience (23 citations) and Electrical and Electronic Engineering (327 citations). John Wade has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Liam McDaid, Jim Harkin, José Santos, Vincenzo Crunelli, Junxiu Liu, J. A. Scott Kelso, Liam Maguire, KongFatt Wong‐Lin, John Marsland and Alexei Verkhratsky. Their work appears in journals such as PLoS Computational Biology, Frontiers in Cellular Neuroscience, IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and PLoS ONE.
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.