Jay G. Hosking

12 total papers · 759 total citations
11 papers, 533 citations indexed

About

Jay G. Hosking is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Clinical Psychology. According to data from OpenAlex, Jay G. Hosking has authored 11 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Clinical Psychology. Recurrent topics in Jay G. Hosking's work include Neural and Behavioral Psychology Studies (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). Jay G. Hosking is often cited by papers focused on Neural and Behavioral Psychology Studies (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). Jay G. Hosking collaborates with scholars based in Canada, United States and France. Jay G. Hosking's co-authors include Catharine A. Winstanley, Paul J. Cocker, Stan Floresco, James Benoit, Mélanie Tremblay, Fiona D. Zeeb, Michael M. Barrus, Kent A. Kiehl, Joseph P. Newman and Fred C. Lam and has published in prestigious journals such as Neuron, PLoS ONE and Neuroscience.

In The Last Decade

Jay G. Hosking

11 papers receiving 522 citations

Author Peers

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

Author Last Decade Papers Cites
Jay G. Hosking 289 270 105 80 77 11 533
Cara L. Buck 206 0.7× 215 0.8× 61 0.6× 102 1.3× 32 0.4× 7 578
Jean A. Milstein 295 1.0× 204 0.8× 79 0.8× 104 1.3× 88 1.1× 6 562
Jonathan J. Chow 152 0.5× 313 1.2× 36 0.3× 104 1.3× 39 0.5× 25 477
Claudine Le Bihan 171 0.6× 350 1.3× 44 0.4× 114 1.4× 78 1.0× 10 518
Daniela Jenni 171 0.6× 213 0.8× 118 1.1× 36 0.5× 79 1.0× 7 469
B. Brocke 199 0.7× 218 0.8× 185 1.8× 100 1.3× 105 1.4× 11 606
Susanne Koot 142 0.5× 116 0.4× 144 1.4× 157 2.0× 49 0.6× 23 475
Yolanda Peña‐Oliver 174 0.6× 309 1.1× 54 0.5× 46 0.6× 69 0.9× 14 447
Mahesh Darna 141 0.5× 278 1.0× 39 0.4× 67 0.8× 50 0.6× 16 450
Jessica A. Cooper 219 0.8× 60 0.2× 67 0.6× 50 0.6× 70 0.9× 23 541

Countries citing papers authored by Jay G. Hosking

Since Specialization
Citations

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

Fields of papers citing papers by Jay G. Hosking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay G. Hosking. 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 Jay G. Hosking. The network helps show where Jay G. Hosking may publish in the future.

Co-authorship network of co-authors of Jay G. Hosking

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

All Works

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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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