Robert D. Kirkton

9 total papers · 597 total citations
7 papers, 446 citations indexed

About

Robert D. Kirkton is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Robert D. Kirkton has authored 7 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Robert D. Kirkton's work include Ion channel regulation and function (4 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Neuroscience and Neural Engineering (3 papers). Robert D. Kirkton is often cited by papers focused on Ion channel regulation and function (4 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Neuroscience and Neural Engineering (3 papers). Robert D. Kirkton collaborates with scholars based in United States and China. Robert D. Kirkton's co-authors include Nenad Bursac, Dawn Pedrotty, Rebecca Y. Klinger, Andrew F. Adler, Nicolas Christoforou, Kam W. Leong, Malathi Chellappan, Russell C. Addis, Luke C. McSpadden and Paul B. Rosenberg and has published in prestigious journals such as Nature Communications, PLoS ONE and Circulation Research.

In The Last Decade

Robert D. Kirkton

7 papers receiving 440 citations

Author Peers

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

Author Last Decade Papers Cites
Robert D. Kirkton 310 188 127 122 42 7 446
Saïd F.A. Askar 158 0.5× 222 1.2× 89 0.7× 129 1.1× 40 1.0× 14 417
Ana Rita Leitoguinho 311 1.0× 106 0.6× 121 1.0× 63 0.5× 24 0.6× 6 382
Frank K. Lee 286 0.9× 74 0.4× 145 1.1× 73 0.6× 20 0.5× 9 489
Rebecca Josowitz 251 0.8× 143 0.8× 123 1.0× 77 0.6× 23 0.5× 15 476
Luna Simona Pane 414 1.3× 157 0.8× 113 0.9× 69 0.6× 9 0.2× 10 491
Jie Liu 399 1.3× 71 0.4× 116 0.9× 74 0.6× 23 0.5× 10 487
Michael Stauske 334 1.1× 142 0.8× 115 0.9× 131 1.1× 26 0.6× 8 411
J. Hescheler 372 1.2× 94 0.5× 134 1.1× 100 0.8× 15 0.4× 4 413
Khatia Gabisonia 325 1.0× 144 0.8× 133 1.0× 55 0.5× 38 0.9× 16 486
Marisa Ojala 234 0.8× 85 0.5× 81 0.6× 87 0.7× 33 0.8× 13 373

Countries citing papers authored by Robert D. Kirkton

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Kirkton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert D. Kirkton

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