John K. Chapin
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 44
- EEG and Brain-Computer Interfaces 23
- Visual perception and processing mechanisms 8
- Memory and Neural Mechanisms 7
- Motor Control and Adaptation 6
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neural Engineering 26
- Neuroscience and Neuropharmacology Research 23
- Neurology top 2%
- Sensory Systems top 1%
- Behavioral Neuroscience top 5%
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- Muscle activation and electromyography studies 10
- Co-authors
- Miguel A. L. NicolelisKaren A. MoxonDonald J. WoodwardChia‐Sheng LinRick C.S. LinRonald S. MarkowitzMark LaubachLuiz Antonio Baccalá
- Journals
- Nature (3 papers)Science (3 papers)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesBrazilSouth Korea
In The Last Decade
John K. Chapin
83 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cognitive Neuroscience 4.7k
- Cellular and Molecular Neuroscience 4.1k
- Neurology 499
- Sensory Systems 277
- Behavioral Neuroscience 107
Countries citing papers authored by John K. Chapin
This map shows the geographic impact of John K. Chapin'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 K. Chapin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John K. Chapin more than expected).
Fields of papers citing papers by John K. Chapin
This network shows the impact of papers produced by John K. Chapin. 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 K. Chapin. The network helps show where John K. Chapin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John K. Chapin, 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 | 2008 | 64 | |
| 2 | 2008 | 49 | |
| 3 | 2007 | 42 | |
| 4 | 2007 | 23 | |
| 5 | 2007 | 31 | |
| 6 | 2006 | 8 | |
| 7 | 2000 | 18 | |
| 8 | Real-time control of a robot arm using simultaneously recorded neurons in the motor cortexbreakdown → | 1999 | 789 |
| 9 | 1998 | 156 | |
| 10 | 1997 | 29 | |
| 11 | 1997 | 32 | |
| 12 | 1996 | 12 | |
| 13 | 1995 | 12 | |
| 14 | 1994 | 18 | |
| 15 | 1992 | 110 | |
| 16 | 1991 | 26 | |
| 17 | 1990 | 30 | |
| 18 | 1989 | 51 | |
| 19 | 1989 | 7 | |
| 20 | 1987 | 123 |
About John K. Chapin
John K. Chapin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems, having authored 85 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (44 papers), Neuroscience and Neural Engineering (26 papers), Neuroscience and Neuropharmacology Research (23 papers), EEG and Brain-Computer Interfaces (23 papers), Muscle activation and electromyography studies (10 papers), Visual perception and processing mechanisms (8 papers), Memory and Neural Mechanisms (7 papers) and Motor Control and Adaptation (6 papers). The work is most often cited by research in Cognitive Neuroscience (4.7k citations), Cellular and Molecular Neuroscience (4.1k citations) and Neurology (499 citations). John K. Chapin has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Miguel A. L. Nicolelis, Karen A. Moxon, Donald J. Woodward, Chia‐Sheng Lin, Rick C.S. Lin, Ronald S. Markowitz, Mark Laubach, Luiz Antonio Baccalá, Sean Biggs and Mandayam A. Srinivasan. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.