Charles M. Pearman

50 total papers · 809 total citations
25 papers, 398 citations indexed

About

Charles M. Pearman is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Charles M. Pearman has authored 25 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Charles M. Pearman's work include Cardiac electrophysiology and arrhythmias (13 papers), Atrial Fibrillation Management and Outcomes (9 papers) and Cardiac Arrhythmias and Treatments (9 papers). Charles M. Pearman is often cited by papers focused on Cardiac electrophysiology and arrhythmias (13 papers), Atrial Fibrillation Management and Outcomes (9 papers) and Cardiac Arrhythmias and Treatments (9 papers). Charles M. Pearman collaborates with scholars based in United Kingdom, Canada and United States. Charles M. Pearman's co-authors include Katharine M. Dibb, Andrew W. Trafford, David Eisner, Nathan Denham, Jessica L. Caldwell, Andrew D. Krahn, David Birnie, Hui‐Chen Han, Nathaniel M. Hawkins and Niels Voigt and has published in prestigious journals such as Circulation Research, The Journal of Physiology and Scientific Reports.

In The Last Decade

Charles M. Pearman

23 papers receiving 393 citations

Author Peers

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

Author						Papers	Cites
Charles M. Pearman	311	129	39	34	30	25	398
Chia-Tung Wu	240 0.8×	140 1.1×	41 1.1×	24 0.7×	19 0.6×	25	368
Ye Liu	260 0.8×	193 1.5×	42 1.1×	26 0.8×	41 1.4×	26	425
Paul Downie	300 1.0×	120 0.9×	44 1.1×	66 1.9×	34 1.1×	26	441
M Hongo	306 1.0×	182 1.4×	35 0.9×	34 1.0×	11 0.4×	23	398
Robert L. Abraham	284 0.9×	79 0.6×	77 2.0×	33 1.0×	16 0.5×	18	380
Itaru Goto	167 0.5×	112 0.9×	41 1.1×	18 0.5×	21 0.7×	24	375
Mayilvahanan Shanmugam	200 0.6×	239 1.9×	36 0.9×	23 0.7×	33 1.1×	16	372
Sven Dittmann	247 0.8×	230 1.8×	37 0.9×	13 0.4×	74 2.5×	26	386
Aaron Glass	260 0.8×	238 1.8×	14 0.4×	21 0.6×	28 0.9×	15	415
Holger Diedrichs	202 0.6×	104 0.8×	81 2.1×	14 0.4×	14 0.5×	22	356

Countries citing papers authored by Charles M. Pearman

Since Specialization

Citations

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

Fields of papers citing papers by Charles M. Pearman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles M. Pearman. 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 Charles M. Pearman. The network helps show where Charles M. Pearman may publish in the future.

Co-authorship network of co-authors of Charles M. Pearman

This figure shows the co-authorship network connecting the top 25 collaborators of Charles M. Pearman. A scholar is included among the top collaborators of Charles M. Pearman 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 Charles M. Pearman. Charles M. Pearman 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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