Richard Wu

28 total papers · 445 total citations
11 papers, 246 citations indexed

About

Richard Wu is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Epidemiology. According to data from OpenAlex, Richard Wu has authored 11 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Physiology and 2 papers in Epidemiology. Recurrent topics in Richard Wu's work include Cardiac Arrhythmias and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Obstructive Sleep Apnea Research (2 papers). Richard Wu is often cited by papers focused on Cardiac Arrhythmias and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Obstructive Sleep Apnea Research (2 papers). Richard Wu collaborates with scholars based in United States, United Kingdom and Australia. Richard Wu's co-authors include Susan Redline, Mark Menegus, Robert C. Kaplan, Robert J. Ostfeld, Daniel Tracy, Neomi Shah, H. Klar Yaggi, Paul Saenger, Joan DiMartino-Nardi and Wilber Su and has published in prestigious journals such as Circulation, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Richard Wu

11 papers receiving 243 citations

Author Peers

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

Author						Papers	Cites
Richard Wu	113	84	73	63	31	11	246
S Pivetti	154 1.4×	22 0.3×	120 1.6×	53 0.8×	27 0.9×	9	278
Eric Libre	61 0.5×	31 0.4×	51 0.7×	152 2.4×	67 2.2×	10	301
Veikko Matilainen	59 0.5×	37 0.4×	14 0.2×	11 0.2×	48 1.5×	8	330
Vito Antonio Falcone	190 1.7×	41 0.5×	111 1.5×	100 1.6×	14 0.5×	13	298
Jose C. Florez	113 1.0×	52 0.6×	111 1.5×	11 0.2×	23 0.7×	10	293
Ian Seetho	120 1.1×	26 0.3×	69 0.9×	52 0.8×	41 1.3×	17	332
Vinay Gulati	98 0.9×	65 0.8×	58 0.8×	31 0.5×	8 0.3×	14	268
Diana Nabers	221 2.0×	36 0.4×	59 0.8×	35 0.6×	55 1.8×	12	317
Ahmed F. Massoud	48 0.4×	17 0.2×	65 0.9×	13 0.2×	153 4.9×	15	270
Rina Perlman	29 0.3×	12 0.1×	41 0.6×	46 0.7×	72 2.3×	14	303

Countries citing papers authored by Richard Wu

Since Specialization

Citations

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

Fields of papers citing papers by Richard Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Wu

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