Emily Hueske

1.0k total citations
9 papers, 671 citations indexed

About

Emily Hueske is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Emily Hueske has authored 9 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Emily Hueske's work include Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (2 papers) and Receptor Mechanisms and Signaling (2 papers). Emily Hueske is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Neural dynamics and brain function (2 papers) and Receptor Mechanisms and Signaling (2 papers). Emily Hueske collaborates with scholars based in United States, Japan and Sweden. Emily Hueske's co-authors include Guosong Liu, Tony Leung, Jeffrey D. Erickson, Hélène Varoqui, Jonathan Murnick, Jian‐Sheng Kang, Nathan R. Wilson, Janine Mauzeroll, Allen J. Bard and Jacek Jaworski and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Emily Hueske

9 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily Hueske United States 7 375 309 141 119 79 9 671
Viviana Davila United States 9 601 1.6× 442 1.4× 93 0.7× 175 1.5× 59 0.7× 9 945
Eric A. Horne United States 15 680 1.8× 698 2.3× 171 1.2× 178 1.5× 57 0.7× 18 1.4k
Gérard Baux France 16 646 1.7× 615 2.0× 88 0.6× 146 1.2× 54 0.7× 20 1.2k
Kohtaro Kamino Japan 19 776 2.1× 456 1.5× 232 1.6× 55 0.5× 46 0.6× 73 1.1k
Ira C. Farber Israel 8 516 1.4× 277 0.9× 160 1.1× 59 0.5× 60 0.8× 8 698
Gerard Joey Broussard United States 11 742 2.0× 547 1.8× 312 2.2× 47 0.4× 21 0.3× 13 1.2k
Laura Borland United States 9 378 1.0× 297 1.0× 78 0.6× 32 0.3× 163 2.1× 10 815
Melissa A. Bunin United States 6 598 1.6× 317 1.0× 231 1.6× 24 0.2× 62 0.8× 6 770
Jingheng Zhou United States 13 624 1.7× 454 1.5× 340 2.4× 33 0.3× 18 0.2× 19 1.2k
Vladimir Rančić Canada 9 376 1.0× 196 0.6× 83 0.6× 59 0.5× 10 0.1× 16 767

Countries citing papers authored by Emily Hueske

Since Specialization
Citations

This map shows the geographic impact of Emily Hueske'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 Emily Hueske with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily Hueske more than expected).

Fields of papers citing papers by Emily Hueske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily Hueske. 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 Emily Hueske. The network helps show where Emily Hueske may publish in the future.

Co-authorship network of co-authors of Emily Hueske

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Hueske. A scholar is included among the top collaborators of Emily Hueske 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 Emily Hueske. Emily Hueske is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Kim, Min Jung, Dan Hu, Tomoko Yoshida, et al.. (2024). Dopamine release plateau and outcome signals in dorsal striatum contrast with classic reinforcement learning formulations. Nature Communications. 15(1). 8856–8856. 1 indexed citations
2.
Lazaridis, Iakovos, Jill R. Crittenden, Ian R. Wickersham, et al.. (2024). Striosomes control dopamine via dual pathways paralleling canonical basal ganglia circuits. Current Biology. 34(22). 5263–5283.e8. 10 indexed citations
3.
Hueske, Emily, et al.. (2024). Developmental and Adult Striatal Patterning of Nociceptin Ligand Marks Striosomal Population With Direct Dopamine Projections. The Journal of Comparative Neurology. 532(12). e70003–e70003. 1 indexed citations
4.
Lak, Armin, Emily Hueske, Junya Hirokawa, et al.. (2020). Reinforcement biases subsequent perceptual decisions when confidence is low, a widespread behavioral phenomenon. eLife. 9. 58 indexed citations
5.
Xu, Sangyu, et al.. (2017). Dorsal Raphe Serotonergic Neurons Control Intertemporal Choice under Trade-off. Current Biology. 27(20). 3111–3119.e3. 27 indexed citations
6.
Sanjana, Neville E., et al.. (2012). Activity-Dependent A-to-I RNA Editing in Rat Cortical Neurons. Genetics. 192(1). 281–287. 33 indexed citations
7.
Dunah, Anthone W., Emily Hueske, Michael Wyszynski, et al.. (2005). LAR receptor protein tyrosine phosphatases in the development and maintenance of excitatory synapses. Nature Neuroscience. 8(4). 458–467. 198 indexed citations
8.
Wilson, Nathan R., Jian‐Sheng Kang, Emily Hueske, et al.. (2005). Presynaptic Regulation of Quantal Size by the Vesicular Glutamate Transporter VGLUT1. Journal of Neuroscience. 25(26). 6221–6234. 259 indexed citations
9.
Mauzeroll, Janine, Emily Hueske, & Allen J. Bard. (2003). Scanning Electrochemical Microscopy. 48. Hg/Pt Hemispherical Ultramicroelectrodes:  Fabrication and Characterization. Analytical Chemistry. 75(15). 3880–3889. 84 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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