Stam Kapetanakis

39 total papers · 1.3k total citations
18 papers, 771 citations indexed

About

Stam Kapetanakis is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stam Kapetanakis has authored 18 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stam Kapetanakis's work include Cardiac pacing and defibrillation studies (11 papers), Cardiac Arrhythmias and Treatments (7 papers) and Cardiovascular Function and Risk Factors (5 papers). Stam Kapetanakis is often cited by papers focused on Cardiac pacing and defibrillation studies (11 papers), Cardiac Arrhythmias and Treatments (7 papers) and Cardiovascular Function and Risk Factors (5 papers). Stam Kapetanakis collaborates with scholars based in United Kingdom, United States and Canada. Stam Kapetanakis's co-authors include Mark Monaghan, Anjana Siva, Mark T. Kearney, Michael Cooklin, Nicholas Gall, Christopher A. Rinaldi, Anoop Shetty, Reza Razavi, Simon Duckett and Matthew Ginks and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Heart.

In The Last Decade

Stam Kapetanakis

17 papers receiving 754 citations

Author Peers

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

Author						Papers	Cites
Stam Kapetanakis	726	161	126	119	69	18	771
FERNANDO MERA	842 1.2×	39 0.2×	94 0.7×	175 1.5×	41 0.6×	15	910
Donald A. Barnhorst	520 0.7×	140 0.9×	201 1.6×	259 2.2×	64 0.9×	29	804
Mitul B. Kadakia	526 0.7×	69 0.4×	315 2.5×	146 1.2×	14 0.2×	15	848
Paride Giannantoni	710 1.0×	89 0.6×	51 0.4×	151 1.3×	69 1.0×	16	814
Chu‐Pak Lau	693 1.0×	53 0.3×	29 0.2×	109 0.9×	26 0.4×	25	813
Gerard J. Fahy	716 1.0×	65 0.4×	35 0.3×	145 1.2×	31 0.4×	38	875
C Daubert	667 0.9×	101 0.6×	151 1.2×	171 1.4×	26 0.4×	22	720
Niall P. Madigan	499 0.7×	111 0.7×	79 0.6×	226 1.9×	16 0.2×	17	631
Manish H. Shah	697 1.0×	111 0.7×	80 0.6×	114 1.0×	12 0.2×	15	897
Waddah Maskoun	650 0.9×	120 0.7×	58 0.5×	133 1.1×	10 0.1×	27	775

Countries citing papers authored by Stam Kapetanakis

Since Specialization

Citations

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

Fields of papers citing papers by Stam Kapetanakis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stam Kapetanakis. 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 Stam Kapetanakis. The network helps show where Stam Kapetanakis may publish in the future.

Co-authorship network of co-authors of Stam Kapetanakis

This figure shows the co-authorship network connecting the top 25 collaborators of Stam Kapetanakis. A scholar is included among the top collaborators of Stam Kapetanakis 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 Stam Kapetanakis. Stam Kapetanakis 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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