Gearoid O’Neill

14 total papers · 1.4k total citations
9 papers, 886 citations indexed

About

Gearoid O’Neill is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Gearoid O’Neill has authored 9 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Gearoid O’Neill's work include Cardiac electrophysiology and arrhythmias (5 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Gearoid O’Neill is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Cardiac Imaging and Diagnostics (2 papers). Gearoid O’Neill collaborates with scholars based in United States, Australia and United Kingdom. Gearoid O’Neill's co-authors include H.Leon Greene, Arjun D. Sharma, Brian Olshansky, Toshio Akiyama, Edward V. Platia, Allen J. Solomon, Lynda E. Rosenfeld, Gregory K. Feld, Michael A. Brodsky and Alberta L. Warner and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Heart.

In The Last Decade

Gearoid O’Neill

9 papers receiving 827 citations

Author Peers

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

Author						Papers	Cites
Gearoid O’Neill	838	73	50	29	28	9	886
Jeffrey Cerkvenik	948 1.1×	80 1.1×	104 2.1×	13 0.4×	14 0.5×	24	1.0k
Ype S. Tuininga	991 1.2×	77 1.1×	36 0.7×	22 0.8×	18 0.6×	26	1.0k
Becky Lopez	839 1.0×	98 1.3×	52 1.0×	36 1.2×	59 2.1×	12	883
The SOLVD Investigators	814 1.0×	94 1.3×	77 1.5×	47 1.6×	54 1.9×	9	919
Björn Hornestam	787 0.9×	65 0.9×	86 1.7×	32 1.1×	40 1.4×	12	834
Chu‐Pak Lau	693 0.8×	109 1.5×	53 1.1×	72 2.5×	29 1.0×	25	813
Robert G. Tieleman	760 0.9×	28 0.4×	87 1.7×	17 0.6×	32 1.1×	17	781
Cézar Mesas	998 1.2×	107 1.5×	22 0.4×	26 0.9×	23 0.8×	9	1.0k
Peter N. Smith	751 0.9×	162 2.2×	30 0.6×	16 0.6×	50 1.8×	16	866
Tonny Nielsen	965 1.2×	228 3.1×	28 0.6×	25 0.9×	22 0.8×	12	997

Countries citing papers authored by Gearoid O’Neill

Since Specialization

Citations

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

Fields of papers citing papers by Gearoid O’Neill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gearoid O’Neill. 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 Gearoid O’Neill. The network helps show where Gearoid O’Neill may publish in the future.

Co-authorship network of co-authors of Gearoid O’Neill

This figure shows the co-authorship network connecting the top 25 collaborators of Gearoid O’Neill. A scholar is included among the top collaborators of Gearoid O’Neill 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 Gearoid O’Neill. Gearoid O’Neill 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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