Jonathan D. Kenny

17 total papers · 1.1k total citations
12 papers, 790 citations indexed

About

Jonathan D. Kenny is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Anesthesiology and Pain Medicine. According to data from OpenAlex, Jonathan D. Kenny has authored 12 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 5 papers in Anesthesiology and Pain Medicine. Recurrent topics in Jonathan D. Kenny's work include Neuroscience and Neuropharmacology Research (6 papers), Anesthesia and Sedative Agents (5 papers) and Anesthesia and Neurotoxicity Research (4 papers). Jonathan D. Kenny is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Anesthesia and Sedative Agents (5 papers) and Anesthesia and Neurotoxicity Research (4 papers). Jonathan D. Kenny collaborates with scholars based in United States, Netherlands and United Kingdom. Jonathan D. Kenny's co-authors include Emery N. Brown, Ken Solt, Norman E. Taylor, Christa J. Van Dort, Jessica J. Chemali, Matthew Wilson, JunZhu Pei, Ksenia Vlasov, Jennifer A. Guidera and Justin T. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Anesthesiology.

In The Last Decade

Jonathan D. Kenny

12 papers receiving 785 citations

Author Peers

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

Author						Papers	Cites
Jonathan D. Kenny	552	395	161	150	144	12	790
Jason T. Moore	499 0.9×	318 0.8×	144 0.9×	160 1.1×	120 0.8×	10	676
Anna Zecharia	469 0.8×	300 0.8×	86 0.5×	263 1.8×	77 0.5×	12	739
Agnieszka A. Zurek	203 0.4×	397 1.0×	132 0.8×	38 0.3×	253 1.8×	12	862
Tadanobu Yasuda	345 0.6×	85 0.2×	66 0.4×	173 1.2×	71 0.5×	21	719
Mattia Chini	452 0.8×	306 0.8×	12 0.1×	110 0.7×	64 0.4×	14	823
Luping Yin	318 0.6×	325 0.8×	26 0.2×	98 0.7×	61 0.4×	18	661
David Mayer	240 0.4×	304 0.8×	41 0.3×	52 0.3×	39 0.3×	14	764
Lee S. Stewart	263 0.5×	410 1.0×	27 0.2×	111 0.7×	78 0.5×	23	734
Giulia Miracca	433 0.8×	215 0.5×	24 0.1×	308 2.1×	25 0.2×	9	631
Kin Foon Kevin Wong	561 1.0×	163 0.4×	283 1.8×	8 0.1×	119 0.8×	16	839

Countries citing papers authored by Jonathan D. Kenny

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan D. Kenny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan D. Kenny

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