Jonathan Canick

10 total papers · 1.1k total citations
9 papers, 766 citations indexed

About

Jonathan Canick is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Pharmacology. According to data from OpenAlex, Jonathan Canick has authored 9 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Behavioral Neuroscience and 2 papers in Pharmacology. Recurrent topics in Jonathan Canick's work include Stress Responses and Cortisol (4 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Hormonal and reproductive studies (2 papers). Jonathan Canick is often cited by papers focused on Stress Responses and Cortisol (4 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Hormonal and reproductive studies (2 papers). Jonathan Canick collaborates with scholars based in United States, Denmark and Canada. Jonathan Canick's co-authors include Owen M. Wolkowitz, Victor I. Reus, Francesca Manfredi, Theresa Chan, William J. Raum, Louann Brizendine, Herbert Weingartner, Sonia Lupien, Eugene Roberts and Ronald C. Johnson and has published in prestigious journals such as Biological Psychiatry, Annals of the New York Academy of Sciences and Obstetrical & Gynecological Survey.

In The Last Decade

Jonathan Canick

9 papers receiving 729 citations

Author Peers

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

Author Last Decade Papers Cites
Jonathan Canick 346 294 137 119 108 9 766
Francesca Manfredi 423 1.2× 373 1.3× 181 1.3× 83 0.7× 126 1.2× 14 728
Irene Kürten 281 0.8× 234 0.8× 105 0.8× 122 1.0× 117 1.1× 25 726
Robert C. Daly 245 0.7× 305 1.0× 81 0.6× 58 0.5× 72 0.7× 10 790
A. Papadopoulos 231 0.7× 130 0.4× 151 1.1× 74 0.6× 57 0.5× 18 855
Richard Hauger 352 1.0× 105 0.4× 111 0.8× 57 0.5× 165 1.5× 15 621
Lawrence J. Shampine 434 1.3× 152 0.5× 185 1.4× 139 1.2× 370 3.4× 19 899
Johan Beck-Friis 243 0.7× 143 0.5× 199 1.5× 157 1.3× 106 1.0× 20 903
G. Copinschi 306 0.9× 345 1.2× 131 1.0× 53 0.4× 35 0.3× 19 834
Ajaykumar N. Sharma 119 0.3× 134 0.5× 152 1.1× 138 1.2× 193 1.8× 14 667
Eleni Païzanis 176 0.5× 143 0.5× 126 0.9× 39 0.3× 310 2.9× 17 854

Countries citing papers authored by Jonathan Canick

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Canick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Canick

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Canick. A scholar is included among the top collaborators of Jonathan Canick 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 Jonathan Canick. Jonathan Canick 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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