Simon A. Sharples
Impact in
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
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- Neuroscience and Neuropharmacology Research
Papers in
-
- Neuroscience and Neuropharmacology Research 5
- Neurobiology and Insect Physiology Research 3
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- Zebrafish Biomedical Research Applications 7
- Co-authors
- Patrick J. Whelan (10 shared papers)Jayne M. Kalmar (3 shared papers)Charlie H.T. Kwok (2 shared papers)Kyle A. Mayr (2 shared papers)Céline Jean-Xavier (2 shared papers)Sandeep Sharma (1 shared paper)Linda Kim (1 shared paper)Tuan Trang (2 shared papers)
- Journals
- Journal of Neurophysiology (3 papers)The Journal of Physiology (3 papers)Scientific Reports (1 paper)Journal of Parkinson s Disease (1 paper)iScience (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Simon A. Sharples
15 papers receiving 337 citations
Peers
Comparison fields: 5 of 87
- Endocrine and Autonomic Systems 62
- Cellular and Molecular Neuroscience 135
- Cell Biology 104
- Cognitive Neuroscience 93
- Neurology 36
Countries citing papers authored by Simon A. Sharples
This map shows the geographic impact of Simon A. Sharples'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 Simon A. Sharples with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon A. Sharples more than expected).
Fields of papers citing papers by Simon A. Sharples
This network shows the impact of papers produced by Simon A. Sharples. 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 Simon A. Sharples. The network helps show where Simon A. Sharples may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon A. Sharples, 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 | 104 | |
| 2 | 2020 | 47 | |
| 3 | 2017 | 41 | |
| 4 | 2015 | 39 | |
| 5 | 2017 | 26 | |
| 6 | 2016 | 19 | |
| 7 | 2017 | 14 | |
| 8 | 2012 | 11 | |
| 9 | 2015 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Simon A. Sharples
Simon A. Sharples is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Endocrine and Autonomic Systems, Cognitive Neuroscience and Biomedical Engineering, having authored 17 papers that have together received 340 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (7 papers), Neuroscience of respiration and sleep (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Muscle activation and electromyography studies (5 papers), Transcranial Magnetic Stimulation Studies (3 papers), Sleep and Wakefulness Research (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (62 citations), Cellular and Molecular Neuroscience (135 citations), Cell Biology (104 citations), Cognitive Neuroscience (93 citations) and Neurology (36 citations). Simon A. Sharples has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Patrick J. Whelan, Jayne M. Kalmar, Charlie H.T. Kwok, Kyle A. Mayr, Céline Jean-Xavier, Sandeep Sharma, Linda Kim, Tuan Trang, Stefan Clemens and Glen B. Baker. Their work appears in journals such as Journal of Neurophysiology, The Journal of Physiology, Scientific Reports, Journal of Parkinson s Disease and iScience.
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.