Sue Ann Koay
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Biophysics top 1%
- Molecular Biology
- Neurology top 10%
- Co-authors
- David W. TankJeffrey L. GauthierStephan Y. ThibergeIlana B. WittenBen EngelhardPat GunnJohannes FriedrichJérémie Kalfon
- Topics
- Neural dynamics and brain function (11 papers)Neuroscience and Neuropharmacology Research (4 papers)Advanced Fluorescence Microscopy Techniques (4 papers)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Sue Ann Koay
13 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cognitive Neuroscience 760
- Cellular and Molecular Neuroscience 618
- Biophysics 216
- Molecular Biology 213
- Neurology 99
Countries citing papers authored by Sue Ann Koay
This map shows the geographic impact of Sue Ann Koay'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 Sue Ann Koay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Ann Koay more than expected).
Fields of papers citing papers by Sue Ann Koay
This network shows the impact of papers produced by Sue Ann Koay. 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 Sue Ann Koay. The network helps show where Sue Ann Koay may publish in the future.
Co-authorship network of co-authors of Sue Ann Koay
This figure shows the co-authorship network connecting the top 25 collaborators of Sue Ann Koay. A scholar is included among the top collaborators of Sue Ann Koay 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 Sue Ann Koay. Sue Ann Koay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 22 | |
| 5 | Geometry of abstract learned knowledge in the hippocampusbreakdown → | 158 |
| 6 | 39 | |
| 7 | 12 | |
| 8 | CaImAn an open source tool for scalable calcium imaging data analysisbreakdown → | 461 |
| 9 | Specialized coding of sensory, motor and cognitive variables in VTA dopamine neuronsbreakdown → | 312 |
| 10 | 54 | |
| 11 | 49 | |
| 12 | 90 | |
| 13 | 2 |
About Sue Ann Koay
Sue Ann Koay is a scholar working on Biophysics, Cognitive Neuroscience and Sensory Systems, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (760 citations), Biophysics (216 citations) and Cellular and Molecular Neuroscience (618 citations). Sue Ann Koay has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include David W. Tank, Jeffrey L. Gauthier, Stephan Y. Thiberge, Ilana B. Witten, Ben Engelhard, Pat Gunn, Johannes Friedrich, Jérémie Kalfon, Carlos D. Brody and Baljit S. Khakh. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.