Kevin Milne

149 total papers · 1.1k total citations
30 papers, 797 citations indexed

About

Kevin Milne is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine. According to data from OpenAlex, Kevin Milne has authored 30 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 10 papers in Complementary and alternative medicine. Recurrent topics in Kevin Milne's work include Heat shock proteins research (11 papers), Cardiovascular and exercise physiology (10 papers) and Exercise and Physiological Responses (9 papers). Kevin Milne is often cited by papers focused on Heat shock proteins research (11 papers), Cardiovascular and exercise physiology (10 papers) and Exercise and Physiological Responses (9 papers). Kevin Milne collaborates with scholars based in Canada, United Kingdom and United States. Kevin Milne's co-authors include Earl G. Noble, C.W. James Melling, Matthew P. Krause, Cheri L. McGowan, Thomas J. Hawke, Kenji A. Kenno, Dwayne N. Jackson, J. Kevin Shoemaker, Morris Karmazyn and Anthony Baross and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Scientific Reports.

In The Last Decade

Kevin Milne

29 papers receiving 780 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin Milne 320 278 232 172 123 30 797
Gabriel Nasri Marzuca-Nassr 322 1.0× 229 0.8× 184 0.8× 69 0.4× 176 1.4× 67 973
Ryan G. Toedebusch 494 1.5× 181 0.7× 117 0.5× 162 0.9× 103 0.8× 33 964
Kai Tanabe 299 0.9× 143 0.5× 180 0.8× 148 0.9× 139 1.1× 34 755
C.W. James Melling 251 0.8× 285 1.0× 127 0.5× 160 0.9× 73 0.6× 41 779
David Donley 334 1.0× 129 0.5× 100 0.4× 197 1.1× 124 1.0× 19 811
Josianne Rodrigues‐Krause 390 1.2× 186 0.7× 178 0.8× 138 0.8× 86 0.7× 33 882
Robert A. Standley 560 1.8× 286 1.0× 106 0.5× 81 0.5× 208 1.7× 25 892
Hermann Zbinden‐Foncea 316 1.0× 171 0.6× 252 1.1× 63 0.4× 161 1.3× 53 908
Philippe Noirez 293 0.9× 332 1.2× 74 0.3× 123 0.7× 157 1.3× 55 857
Danielle Hiam 268 0.8× 233 0.8× 80 0.3× 90 0.5× 121 1.0× 46 1.0k

Countries citing papers authored by Kevin Milne

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Milne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Milne

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