Kevin J. Canning

567 total citations
12 papers, 476 citations indexed

About

Kevin J. Canning is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Kevin J. Canning has authored 12 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Kevin J. Canning's work include Neuroscience and Neuropharmacology Research (12 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (5 papers). Kevin J. Canning is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (5 papers). Kevin J. Canning collaborates with scholars based in Canada. Kevin J. Canning's co-authors include L. Stan Leung, John F. MacDonald, Beverley A. Orser, Peter Pennefather, Guoyun Zhu, Bixia Shen, Kun Wu, Kun Wu and Fabian Kloosterman and has published in prestigious journals such as Journal of Neurophysiology, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Kevin J. Canning

12 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin J. Canning Canada 10 417 309 118 49 39 12 476
Rodrigo Neves Romcy-Pereira Brazil 16 364 0.9× 317 1.0× 123 1.0× 28 0.6× 78 2.0× 25 576
Tim J. Teyler United States 9 492 1.2× 407 1.3× 130 1.1× 78 1.6× 37 0.9× 9 623
Riichi Kajiwara Japan 13 488 1.2× 417 1.3× 119 1.0× 29 0.6× 29 0.7× 22 646
Lena Haglund Sweden 6 357 0.9× 185 0.6× 142 1.2× 51 1.0× 43 1.1× 6 476
Carlos Gonzalez‐Islas United States 13 498 1.2× 236 0.8× 260 2.2× 45 0.9× 26 0.7× 19 609
David G. Amaral United States 6 313 0.8× 302 1.0× 59 0.5× 63 1.3× 33 0.8× 6 475
Jeffrey Lopez‐Rojas Germany 11 257 0.6× 160 0.5× 129 1.1× 57 1.2× 35 0.9× 13 400
Zhong‐Sheng Han China 6 443 1.1× 259 0.8× 123 1.0× 104 2.1× 22 0.6× 11 505
E Campana Italy 7 617 1.5× 432 1.4× 183 1.6× 46 0.9× 16 0.4× 9 750
Susan G. Walling Canada 10 309 0.7× 341 1.1× 86 0.7× 23 0.5× 26 0.7× 18 502

Countries citing papers authored by Kevin J. Canning

Since Specialization
Citations

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

Fields of papers citing papers by Kevin J. Canning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Canning. 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 Kevin J. Canning. The network helps show where Kevin J. Canning may publish in the future.

Co-authorship network of co-authors of Kevin J. Canning

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

All Works

12 of 12 papers shown
1.
Leung, L. Stan, et al.. (2008). Paired‐pulse depression of excitatory postsynaptic current sinks in hippocampal CA1 in vivo. Hippocampus. 18(10). 1008–1020. 26 indexed citations
2.
Leung, L. Stan, Kevin J. Canning, & Bixia Shen. (2005). Hippocampal Afterdischarges after GABAB‐Receptor Blockade in the Freely Moving Rat. Epilepsia. 46(2). 203–216. 43 indexed citations
3.
Canning, Kevin J., et al.. (2003). Tonically Activated GABAA Receptors in Hippocampal Neurons Are High-Affinity, Low-Conductance Sensors for Extracellular GABA. Molecular Pharmacology. 63(1). 2–8. 151 indexed citations
4.
Orser, Beverley A., Kevin J. Canning, & John F. MacDonald. (2002). Mechanisms of general anesthesia. Current Opinion in Anaesthesiology. 15(4). 427–433. 25 indexed citations
5.
Canning, Kevin J., et al.. (2000). Physiology of the Entorhinal and Perirhinal Projections to the Hippocampus Studied by Current Source Density Analysis. Annals of the New York Academy of Sciences. 911(1). 55–72. 36 indexed citations
6.
Canning, Kevin J. & L. Stan Leung. (2000). Excitability of rat dentate gyrus granule cells in vivo is controlled by tonic and evoked GABAB receptor-mediated inhibition. Brain Research. 863(1-2). 271–275. 19 indexed citations
7.
Leung, L. Stan & Kevin J. Canning. (1999). Reply to Liu and Bilkey's reply. Hippocampus. 9(5). 603–604. 2 indexed citations
9.
Wu, Kun, Kevin J. Canning, & L. Stan Leung. (1998). Functional interconnections between CA3 and the dentate gyrus revealed by current source density analysis. Hippocampus. 8(3). 217–230. 28 indexed citations
10.
Wu, Kun, Kevin J. Canning, & L. Stan Leung. (1998). Functional interconnections between CA3 and the dentate gyrus revealed by current source density analysis. Hippocampus. 8(3). 217–230. 2 indexed citations
12.
Leung, L. Stan, et al.. (1995). Entorhinal inputs to hippocampal CA1 and dentate gyrus in the rat: a current-source-density study. Journal of Neurophysiology. 73(6). 2392–2403. 76 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026