Sue Ann Koay

37 total papers · 2.6k total citations
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), Advanced Fluorescence Microscopy Techniques (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Sue Ann Koay is often cited by papers focused on Neural dynamics and brain function (11 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Neuroscience and Neuropharmacology Research (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, Ilana B. Witten, Ben Engelhard, Baljit S. Khakh, Farzaneh Najafi, Eftychios A. Pnevmatikakis, Jiannis Taxidis and Pat Gunn 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

CaImAn an open source too... 2019 2026 2021 2023 2019 2019 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sue Ann Koay 744 610 213 210 98 13 1.2k
Brad K. Hulse 688 0.9× 768 1.3× 166 0.8× 274 1.3× 46 0.5× 12 1.4k
Lacey Kitch 985 1.3× 939 1.5× 156 0.7× 137 0.7× 132 1.3× 9 1.3k
Thomas R. Reardon 874 1.2× 967 1.6× 217 1.0× 262 1.2× 148 1.5× 7 1.5k
Emre Aksay 678 0.9× 549 0.9× 206 1.0× 331 1.6× 154 1.6× 26 1.2k
Kayvon Daie 934 1.3× 634 1.0× 81 0.4× 172 0.8× 80 0.8× 15 1.3k
Ashley Juavinett 997 1.3× 671 1.1× 67 0.3× 191 0.9× 80 0.8× 21 1.3k
Hermann Cuntz 734 1.0× 865 1.4× 290 1.4× 280 1.3× 140 1.4× 45 1.4k
Jérôme Lecoq 658 0.9× 676 1.1× 264 1.2× 194 0.9× 135 1.4× 26 1.4k
Marcel Oberlaender 989 1.3× 868 1.4× 251 1.2× 189 0.9× 71 0.7× 40 1.4k
Emmanouil Froudarakis 876 1.2× 601 1.0× 105 0.5× 174 0.8× 46 0.5× 22 1.2k

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.

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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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