David R. McIlroy

90 total papers · 3.5k total citations
52 papers, 1.6k citations indexed

About

David R. McIlroy is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Nephrology. According to data from OpenAlex, David R. McIlroy has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cardiology and Cardiovascular Medicine, 27 papers in Surgery and 15 papers in Nephrology. Recurrent topics in David R. McIlroy's work include Cardiac, Anesthesia and Surgical Outcomes (29 papers), Acute Kidney Injury Research (13 papers) and Hemodynamic Monitoring and Therapy (12 papers). David R. McIlroy is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (29 papers), Acute Kidney Injury Research (13 papers) and Hemodynamic Monitoring and Therapy (12 papers). David R. McIlroy collaborates with scholars based in Australia, United States and Canada. David R. McIlroy's co-authors include Paul S. Myles, Gebhard Wagener, Sophie Wallace, Mark Shulman, Evan D. Kharasch, Matthew T.V. Chan, Jennie Ponsford, Andrew Forbes, Lin Fritschi and John E. Morris and has published in prestigious journals such as Blood, Cochrane Database of Systematic Reviews and BMJ.

In The Last Decade

David R. McIlroy

51 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
David R. McIlroy 750 716 415 352 226 52 1.6k
Raili Suojaranta-Ylinen 673 0.9× 676 0.9× 706 1.7× 670 1.9× 193 0.9× 61 1.9k
Maria Grazia Calabró 698 0.9× 499 0.7× 479 1.2× 248 0.7× 249 1.1× 62 1.8k
G Janvier 494 0.7× 770 1.1× 227 0.5× 556 1.6× 334 1.5× 114 1.8k
Sophie Wallace 1.2k 1.6× 1.3k 1.8× 169 0.4× 403 1.1× 343 1.5× 58 2.4k
Anne Kuitunen 529 0.7× 615 0.9× 405 1.0× 840 2.4× 231 1.0× 54 1.9k
Barbara G. Phillips‐Bute 675 0.9× 626 0.9× 327 0.8× 221 0.6× 202 0.9× 32 1.4k
Robert Sümpelmann 515 0.7× 809 1.1× 272 0.7× 283 0.8× 439 1.9× 95 1.5k
Gordon Tait 916 1.2× 981 1.4× 191 0.5× 528 1.5× 349 1.5× 49 2.3k
Gísli H. Sigurðsson 422 0.6× 804 1.1× 253 0.6× 334 0.9× 270 1.2× 67 1.6k
Jean‐Pierre Yared 951 1.3× 569 0.8× 1.2k 2.8× 463 1.3× 285 1.3× 34 2.0k

Countries citing papers authored by David R. McIlroy

Since Specialization
Citations

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

Fields of papers citing papers by David R. McIlroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. McIlroy. 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 David R. McIlroy. The network helps show where David R. McIlroy may publish in the future.

Co-authorship network of co-authors of David R. McIlroy

This figure shows the co-authorship network connecting the top 25 collaborators of David R. McIlroy. A scholar is included among the top collaborators of David R. McIlroy 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 David R. McIlroy. David R. McIlroy 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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