J. D. McCann

19 total papers · 844 total citations
16 papers, 685 citations indexed

About

J. D. McCann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J. D. McCann has authored 16 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J. D. McCann's work include Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Ion Transport and Channel Regulation (4 papers). J. D. McCann is often cited by papers focused on Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Ion Transport and Channel Regulation (4 papers). J. D. McCann collaborates with scholars based in United States. J. D. McCann's co-authors include Michael J. Welsh, Ramesh C. Bhalla, Jeffrey J. Smith, John Clancy, Gregory J. Kaczorowski, James J. Matsuda, María L. García, Angelo Tsirbas, Robert A. Goldberg and John R. Burroughs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Physiology.

In The Last Decade

J. D. McCann

16 papers receiving 653 citations

Author Peers

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

Author						Papers	Cites
J. D. McCann	529	241	150	141	97	16	685
Douglas B. Light	517 1.0×	173 0.7×	116 0.8×	160 1.1×	136 1.4×	16	721
Lin Wei	425 0.8×	174 0.7×	207 1.4×	131 0.9×	88 0.9×	27	715
K. D. Schreur	463 0.9×	135 0.6×	117 0.8×	172 1.2×	128 1.3×	11	662
F. Friedrich	379 0.7×	199 0.8×	111 0.7×	46 0.3×	78 0.8×	19	575
Chantal Poujeol	475 0.9×	114 0.5×	129 0.9×	124 0.9×	65 0.7×	27	674
P. Komwatana	575 1.1×	87 0.4×	115 0.8×	72 0.5×	64 0.7×	19	673
Anita Aperia	512 1.0×	125 0.5×	124 0.8×	80 0.6×	66 0.7×	20	732
Joseph R. H. Mauban	458 0.9×	159 0.7×	48 0.3×	232 1.6×	218 2.2×	18	676
Gregor K. Fyfe	605 1.1×	78 0.3×	155 1.0×	57 0.4×	83 0.9×	19	773
Oleksandr V. Povstyan	368 0.7×	99 0.4×	94 0.6×	174 1.2×	217 2.2×	26	667

Countries citing papers authored by J. D. McCann

Since Specialization

Citations

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

Fields of papers citing papers by J. D. McCann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. McCann

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