Jonathan C. S. Leong
Impact in
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- Neurobiology and Insect Physiology Research
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
Papers in
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- Neurobiology and Insect Physiology Research 4
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- Memory and Neural Mechanisms 2
- Neural dynamics and brain function 2
- Co-authors
- Maria L. Spletter (1 shared paper)Liqun Luo (1 shared paper)Rachel I. Wilson (1 shared paper)Emre Yaksi (1 shared paper)Ya-Hui Chou (1 shared paper)Thomas R. Clandinin (3 shared papers)Surya Ganguli (1 shared paper)Brian D. Poole (1 shared paper)
- Journals
- Current Biology (1 paper)Animal Cognition (1 paper)Nature Neuroscience (1 paper)Journal of Neuroscience (1 paper)Neuron (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jonathan C. S. Leong
7 papers receiving 401 citations
Peers
Comparison fields: 5 of 40
- Cellular and Molecular Neuroscience 370
- Sensory Systems 71
- Ecology, Evolution, Behavior and Systematics 147
- Genetics 167
- Insect Science 63
Countries citing papers authored by Jonathan C. S. Leong
This map shows the geographic impact of Jonathan C. S. Leong'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 C. S. Leong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. S. Leong more than expected).
Fields of papers citing papers by Jonathan C. S. Leong
This network shows the impact of papers produced by Jonathan C. S. Leong. 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 C. S. Leong. The network helps show where Jonathan C. S. Leong may publish in the future.
Co-authors
The 14 scholars most cited alongside Jonathan C. S. Leong, 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 | 2010 | 252 | |
| 2 | 2016 | 63 | |
| 3 | 2015 | 41 | |
| 4 | 2018 | 30 | |
| 5 | 2006 | 15 | |
| 6 | ACT-R is almost a Model of Primate Task Learning: Experiments in Modelling Transitive Inference | 2004 | 9 |
| 7 | Representations Underlying Transitive Choice in Humans and Other Primates | 2004 | 2 |
About Jonathan C. S. Leong
Jonathan C. S. Leong is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics and Developmental and Educational Psychology, having authored 7 papers that have together received 412 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Child and Animal Learning Development (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Memory and Neural Mechanisms (2 papers), Neural dynamics and brain function (2 papers), Animal Behavior and Reproduction (2 papers), Cognitive and developmental aspects of mathematical skills (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (370 citations), Sensory Systems (71 citations), Ecology, Evolution, Behavior and Systematics (147 citations), Genetics (167 citations) and Insect Science (63 citations). Jonathan C. S. Leong has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Maria L. Spletter, Liqun Luo, Rachel I. Wilson, Emre Yaksi, Ya-Hui Chou, Thomas R. Clandinin, Surya Ganguli, Brian D. Poole, Joanna J. Bryson and Carl F. R. Wienecke. Their work appears in journals such as Current Biology, Animal Cognition, Nature Neuroscience, Journal of Neuroscience and Neuron.
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.