Jonathan D. Breshears
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Psychiatry and Mental health top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Edward F. ChangEric C. LeuthardtMohit SharmaCharles M. GaonaJarod L. RolandAnnette M. MolinaroGerwin SchalkMatthew K. Leonard
- Topics
- EEG and Brain-Computer Interfaces (15 papers)Meningioma and schwannoma management (14 papers)Neural dynamics and brain function (12 papers)
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Jonathan D. Breshears
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 748
- Cellular and Molecular Neuroscience 224
- Neurology 218
- Psychiatry and Mental health 166
- Radiology, Nuclear Medicine and Imaging 150
Countries citing papers authored by Jonathan D. Breshears
This map shows the geographic impact of Jonathan D. Breshears'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 Jonathan D. Breshears with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Breshears more than expected).
Fields of papers citing papers by Jonathan D. Breshears
This network shows the impact of papers produced by Jonathan D. Breshears. 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 Jonathan D. Breshears. The network helps show where Jonathan D. Breshears may publish in the future.
Co-authorship network of co-authors of Jonathan D. Breshears
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Breshears. A scholar is included among the top collaborators of Jonathan D. Breshears 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 Jonathan D. Breshears. Jonathan D. Breshears 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 | 0 | |
| 3 | 2 | |
| 4 | 106 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 62 | |
| 9 | 15 | |
| 10 | 73 | |
| 11 | 1 | |
| 12 | 99 | |
| 13 | 24 | |
| 14 | 64 | |
| 15 | 71 | |
| 16 | 123 | |
| 17 | 15 | |
| 18 | 35 | |
| 19 | Decoding Ipsilateral Finger Movements from ECoG Signals in Humans | 8 |
| 20 | 13 |
About Jonathan D. Breshears
Jonathan D. Breshears is a scholar working on Microbiology, Neurology and Cognitive Neuroscience, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (15 papers), Meningioma and schwannoma management (14 papers) and Neural dynamics and brain function (12 papers). The work is most often cited by research in Cognitive Neuroscience (748 citations), Neurology (218 citations) and Developmental Biology (28 citations). Jonathan D. Breshears has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Edward F. Chang, Eric C. Leuthardt, Mohit Sharma, Charles M. Gaona, Jarod L. Roland, Annette M. Molinaro, Gerwin Schalk, Matthew K. Leonard, Ben Dichter and Dario J. Englot. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.