Thomas E. MacMillan

37 total papers · 621 total citations
17 papers, 215 citations indexed

About

Thomas E. MacMillan is a scholar working on Pulmonary and Respiratory Medicine, General Health Professions and Molecular Biology. According to data from OpenAlex, Thomas E. MacMillan has authored 17 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in General Health Professions and 3 papers in Molecular Biology. Recurrent topics in Thomas E. MacMillan's work include Electrolyte and hormonal disorders (4 papers), Ion Transport and Channel Regulation (3 papers) and Intensive Care Unit Cognitive Disorders (3 papers). Thomas E. MacMillan is often cited by papers focused on Electrolyte and hormonal disorders (4 papers), Ion Transport and Channel Regulation (3 papers) and Intensive Care Unit Cognitive Disorders (3 papers). Thomas E. MacMillan collaborates with scholars based in Canada, United States and Spain. Thomas E. MacMillan's co-authors include Rodrigo B. Cavalcanti, Terence Tang, Reza Kamali, Shail Rawal, Jessica Liu, Peter Cram, Manish M. Sood, Carl van Walraven, Janice L. Kwan and Fahad Razak and has published in prestigious journals such as PLoS ONE, The American Journal of Medicine and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Thomas E. MacMillan

15 papers receiving 209 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas E. MacMillan 127 69 50 28 22 17 215
Craig Barstow 88 0.7× 60 0.9× 49 1.0× 28 1.0× 32 1.5× 17 324
Amar D. Bansal 64 0.5× 75 1.1× 56 1.1× 80 2.9× 39 1.8× 25 320
Sreeram Subramanian 165 1.3× 52 0.8× 23 0.5× 32 1.1× 15 0.7× 13 300
Staffan Wåhlander 61 0.5× 107 1.6× 29 0.6× 43 1.5× 23 1.0× 12 303
Céline Lebas 65 0.5× 79 1.1× 17 0.3× 48 1.7× 13 0.6× 17 211
Donald D. Mathes 72 0.6× 187 2.7× 21 0.4× 54 1.9× 14 0.6× 18 327
James Paparello 60 0.5× 59 0.9× 24 0.5× 98 3.5× 38 1.7× 16 262
Michael S. Gough 78 0.6× 74 1.1× 30 0.6× 18 0.6× 16 0.7× 9 308
Charles D. Bayliff 68 0.5× 74 1.1× 12 0.2× 8 0.3× 10 0.5× 24 306
Samir Arnaout 52 0.4× 92 1.3× 11 0.2× 9 0.3× 18 0.8× 17 307

Countries citing papers authored by Thomas E. MacMillan

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. MacMillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. MacMillan. 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 Thomas E. MacMillan. The network helps show where Thomas E. MacMillan may publish in the future.

Co-authorship network of co-authors of Thomas E. MacMillan

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. MacMillan. A scholar is included among the top collaborators of Thomas E. MacMillan 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 Thomas E. MacMillan. Thomas E. MacMillan 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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