James J. Jun
Impact in
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- Fish biology, ecology, and behavior
- Fish Ecology and Management Studies
- Ichthyology and Marine Biology
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Fish biology, ecology, and behavior 10
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- Neural dynamics and brain function 8
- EEG and Brain-Computer Interfaces 2
- Tactile and Sensory Interactions 2
- Co-authors
- Leonard Maler (11 shared papers)André Longtin (10 shared papers)Haleh Fotowat (1 shared paper)Candice Lee (1 shared paper)Alexander Morley (1 shared paper)Samuel Garcia (1 shared paper)Cole Hurwitz (1 shared paper)Alex H. Barnett (1 shared paper)
- Journals
- eLife (3 papers)Journal of Neurophysiology (2 papers)BMC Neuroscience (2 papers)Journal of Visualized Experiments (2 papers)Journal of Experimental Biology (1 paper)
- Partner nations
- CanadaUnited StatesNorway
In The Last Decade
James J. Jun
14 papers receiving 256 citations
Peers
Comparison fields: 5 of 57
- Nature and Landscape Conservation 95
- Cognitive Neuroscience 144
- Cellular and Molecular Neuroscience 92
- Developmental Biology 6
- Cell Biology 32
Countries citing papers authored by James J. Jun
This map shows the geographic impact of James J. Jun'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 James J. Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Jun more than expected).
Fields of papers citing papers by James J. Jun
This network shows the impact of papers produced by James J. Jun. 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 James J. Jun. The network helps show where James J. Jun may publish in the future.
Co-authors
The 18 scholars most cited alongside James J. Jun, 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 | 2020 | 72 | |
| 2 | 2019 | 40 | |
| 3 | 2016 | 40 | |
| 4 | 2014 | 28 | |
| 5 | 2018 | 25 | |
| 6 | 2013 | 16 | |
| 7 | 2014 | 11 | |
| 8 | 2011 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2017 | 7 | |
| 11 | 2014 | 4 | |
| 12 | 2014 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2014 | 1 |
About James J. Jun
James J. Jun is a scholar working on Nature and Landscape Conservation, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics and Water Science and Technology, having authored 14 papers that have together received 263 indexed citations. Recurring topics across this work include Fish biology, ecology, and behavior (10 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (2 papers), EEG and Brain-Computer Interfaces (2 papers), Water Quality Monitoring Technologies (2 papers), Tactile and Sensory Interactions (2 papers), stochastic dynamics and bifurcation (2 papers) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Nature and Landscape Conservation (95 citations), Cognitive Neuroscience (144 citations), Cellular and Molecular Neuroscience (92 citations), Developmental Biology (6 citations) and Cell Biology (32 citations). James J. Jun has collaborated with scholars based in Canada, United States and Norway. Frequent co-authors include Leonard Maler, André Longtin, Haleh Fotowat, Candice Lee, Alexander Morley, Samuel Garcia, Cole Hurwitz, Alex H. Barnett, Alessio Paolo Buccino and Jeremy F. Magland. Their work appears in journals such as eLife, Journal of Neurophysiology, BMC Neuroscience, Journal of Visualized Experiments and Journal of Experimental Biology.
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.