Sue Ann Koay

2.7k total citations · 3 hit papers
13 papers, 1.2k citations indexed

About

Sue Ann Koay is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Sue Ann Koay has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Biophysics. Recurrent topics in Sue Ann Koay's work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Sue Ann Koay is often cited by papers focused on Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (4 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Sue Ann Koay collaborates with scholars based in United States, Netherlands and France. Sue Ann Koay's co-authors include David W. Tank, Jeffrey L. Gauthier, Stephan Y. Thiberge, Ben Engelhard, Ilana B. Witten, Andrea Giovannucci, Pat Gunn, Baljit S. Khakh, Carlos D. Brody and Pengcheng Zhou and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Sue Ann Koay

13 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CaImAn an open source tool for scalable calcium imaging data analysis

2019 461 citations Andrea Giovannucci, Johannes Friedrich et al. eLife profile →
Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons

2019 312 citations Ben Engelhard, Joel Finkelstein et al. Nature profile →
Geometry of abstract learned knowledge in the hippocampus

2021 158 citations Edward H. Nieh, Manuel Schottdorf et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sue Ann Koay United States	10	760	618	216	213	99	13	1.2k
Lacey Kitch United States	7	991 1.3×	943 1.5×	157 0.7×	138 0.6×	132 1.3×	9	1.3k
Brad K. Hulse United States	10	691 0.9×	779 1.3×	168 0.8×	275 1.3×	46 0.5×	12	1.4k
Thomas R. Reardon United States	6	883 1.2×	973 1.6×	219 1.0×	263 1.2×	149 1.5×	7	1.5k
Hermann Cuntz Germany	22	736 1.0×	868 1.4×	290 1.3×	284 1.3×	141 1.4×	45	1.5k
Simon Peron United States	12	1.3k 1.7×	1.2k 2.0×	175 0.8×	215 1.0×	74 0.7×	17	1.7k
Marcel Oberlaender Germany	22	993 1.3×	870 1.4×	251 1.2×	189 0.9×	72 0.7×	40	1.4k
Howard J. Gritton United States	22	924 1.2×	778 1.3×	133 0.6×	376 1.8×	71 0.7×	38	1.7k
Timothy A. Machado United States	10	1.1k 1.5×	1.1k 1.8×	310 1.4×	428 2.0×	76 0.8×	13	1.9k
Zengcai V. Guo United States	15	1.6k 2.1×	1.3k 2.1×	110 0.5×	195 0.9×	108 1.1×	22	2.2k
Ashley Juavinett United States	12	1.0k 1.3×	680 1.1×	67 0.3×	194 0.9×	80 0.8×	21	1.3k

Countries citing papers authored by Sue Ann Koay

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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13 of 13 papers shown

Koay, Sue Ann, et al.. (2025). Encoding of cerebellar dentate neuron activity during visual attention in rhesus macaques. eLife. 13. 2 indexed citations

Koay, Sue Ann, et al.. (2024). Encoding of cerebellar dentate neuron activity during visual attention in rhesus macaques. eLife. 13. 1 indexed citations

Gauthier, Jeffrey L., Sue Ann Koay, Edward H. Nieh, et al.. (2022). Detecting and correcting false transients in calcium imaging. Nature Methods. 19(4). 470–478. 9 indexed citations

Koay, Sue Ann, et al.. (2022). Novel stimuli evoke excess activity in the mouse primary visual cortex. Proceedings of the National Academy of Sciences. 119(5). 22 indexed citations

Koay, Sue Ann, Adam S. Charles, Stephan Y. Thiberge, Carlos D. Brody, & David W. Tank. (2021). Sequential and efficient neural-population coding of complex task information. Neuron. 110(2). 328–349.e11. 39 indexed citations

Nieh, Edward H., Manuel Schottdorf, Ryan Low, et al.. (2021). Geometry of abstract learned knowledge in the hippocampus. Nature. 595(7865). 80–84. 158 indexed citations breakdown →

Koay, Sue Ann, Stephan Y. Thiberge, Carlos D. Brody, & David W. Tank. (2020). Amplitude modulations of cortical sensory responses in pulsatile evidence accumulation. eLife. 9. 12 indexed citations

Giovannucci, Andrea, Johannes Friedrich, Pat Gunn, et al.. (2019). CaImAn an open source tool for scalable calcium imaging data analysis. eLife. 8. 461 indexed citations breakdown →

Engelhard, Ben, Joel Finkelstein, Julia Cox, et al.. (2019). Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons. Nature. 570(7762). 509–513. 312 indexed citations breakdown →

10.

Pinto, Lucas, Sue Ann Koay, Ben Engelhard, et al.. (2018). An Accumulation-of-Evidence Task Using Visual Pulses for Mice Navigating in Virtual Reality. Frontiers in Behavioral Neuroscience. 12. 36–36. 54 indexed citations

11.

Deverett, Ben, et al.. (2018). Cerebellar involvement in an evidence-accumulation decision-making task. eLife. 7. 49 indexed citations

12.

Charles, Adam S., Sue Ann Koay, Jeffrey L. Gauthier, et al.. (2017). Volumetric two-photon imaging of neurons using stereoscopy (vTwINS). Nature Methods. 14(4). 420–426. 90 indexed citations

13.

Charles, Adam S., et al.. (2017). Stochastic filtering of two-photon imaging using reweighted ℓ<inf>1</inf>. 24. 1038–1042. 2 indexed citations

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.

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