Marisa A. Shea

19 total papers · 1.2k total citations
11 papers, 582 citations indexed

About

Marisa A. Shea is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marisa A. Shea has authored 11 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Marisa A. Shea's work include Cardiac electrophysiology and arrhythmias (5 papers), Cardiac Arrhythmias and Treatments (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Marisa A. Shea is often cited by papers focused on Cardiac electrophysiology and arrhythmias (5 papers), Cardiac Arrhythmias and Treatments (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Marisa A. Shea collaborates with scholars based in United States, Germany and Brazil. Marisa A. Shea's co-authors include Patrick T. Ellinor, Calum A. MacRae, Kristen K. Patton, Adrian F. Low, David J. Milan, Jeremy N. Ruskin, Nathan R. Tucker, Micheal A. McLellan, Saumya Das and Yonathan F. Melman and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Gynecologic Oncology.

In The Last Decade

Marisa A. Shea

10 papers receiving 569 citations

Author Peers

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

Author						Papers	Cites
Marisa A. Shea	539	175	28	21	19	11	582
Anne Margreet de Jong	414 0.8×	104 0.6×	33 1.2×	23 1.1×	22 1.2×	12	525
Yuichi Koide	210 0.4×	265 1.5×	26 0.9×	26 1.2×	40 2.1×	13	519
Sharie B. Parks	440 0.8×	339 1.9×	24 0.9×	18 0.9×	31 1.6×	7	632
Wen-Chin Tsai	470 0.9×	95 0.5×	28 1.0×	18 0.9×	9 0.5×	17	542
Jason L. McDonough	466 0.9×	262 1.5×	63 2.3×	14 0.7×	19 1.0×	8	659
Linda C. Baker	506 0.9×	328 1.9×	23 0.8×	17 0.8×	75 3.9×	12	608
Naohiko Ohkubo	532 1.0×	288 1.6×	58 2.1×	19 0.9×	21 1.1×	12	619
Amy McDonald	419 0.8×	315 1.8×	58 2.1×	76 3.6×	82 4.3×	9	643
John J. Seger	514 1.0×	198 1.1×	142 5.1×	24 1.1×	7 0.4×	19	632
Katharina Ort	520 1.0×	397 2.3×	20 0.7×	7 0.3×	77 4.1×	15	640

Countries citing papers authored by Marisa A. Shea

Since Specialization

Citations

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

Fields of papers citing papers by Marisa A. Shea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marisa A. Shea. 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 Marisa A. Shea. The network helps show where Marisa A. Shea may publish in the future.

Co-authorship network of co-authors of Marisa A. Shea

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