Jason W. Middleton
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Sensory Systems top 2%
- Neurology top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- André LongtinThanos TzounopoulosLeonard MalerGordon M. ShepherdCourtney J. PedersenTaro KiritaniJeremy G. TurnerJan Benda
- Topics
- Neural dynamics and brain function (14 papers)Neuroscience and Neuropharmacology Research (7 papers)Neuroscience and Neural Engineering (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceJournal of Neurophysiology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Jason W. Middleton
30 papers receiving 850 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 562
- Cellular and Molecular Neuroscience 305
- Sensory Systems 238
- Neurology 138
- Statistical and Nonlinear Physics 131
Countries citing papers authored by Jason W. Middleton
This map shows the geographic impact of Jason W. Middleton'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 Jason W. Middleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason W. Middleton more than expected).
Fields of papers citing papers by Jason W. Middleton
This network shows the impact of papers produced by Jason W. Middleton. 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 Jason W. Middleton. The network helps show where Jason W. Middleton may publish in the future.
Co-authorship network of co-authors of Jason W. Middleton
This figure shows the co-authorship network connecting the top 25 collaborators of Jason W. Middleton. A scholar is included among the top collaborators of Jason W. Middleton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason W. Middleton. Jason W. Middleton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 38 | |
| 6 | 9 | |
| 7 | 18 | |
| 8 | 83 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 32 | |
| 13 | 29 | |
| 14 | 65 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | 27 | |
| 18 | 20 | |
| 19 | 15 | |
| 20 | 82 |
About Jason W. Middleton
Jason W. Middleton is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 860 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Sensory Systems (238 citations), Cognitive Neuroscience (562 citations) and Cellular and Molecular Neuroscience (305 citations). Jason W. Middleton has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include André Longtin, Thanos Tzounopoulos, Leonard Maler, Gordon M. Shepherd, Courtney J. Pedersen, Taro Kiritani, Jeremy G. Turner, Jan Benda, Nicholas W. Gilpin and Brent Doiron. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Neurophysiology.
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.