Michael Greenwood

166 total papers · 3.1k total citations
93 papers, 2.2k citations indexed

About

Michael Greenwood is a scholar working on Cell Biology, Social Psychology and Endocrine and Autonomic Systems. According to data from OpenAlex, Michael Greenwood has authored 93 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cell Biology, 23 papers in Social Psychology and 19 papers in Endocrine and Autonomic Systems. Recurrent topics in Michael Greenwood's work include Muscle metabolism and nutrition (26 papers), Neuroendocrine regulation and behavior (22 papers) and Sports Performance and Training (13 papers). Michael Greenwood is often cited by papers focused on Muscle metabolism and nutrition (26 papers), Neuroendocrine regulation and behavior (22 papers) and Sports Performance and Training (13 papers). Michael Greenwood collaborates with scholars based in United States, United Kingdom and Malaysia. Michael Greenwood's co-authors include Richard B. Kreider, David Murphy, Anthony L. Almada, Christopher J. Rasmussen, Mingkwan Greenwood, Julian F. R. Paton, Stacy L. Lancaster, Chad M. Kerksick, C. Melton and Darryl B. Hood and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Greenwood

91 papers receiving 2.1k citations

Author Peers

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

Author						Papers	Cites
Michael Greenwood	724	478	361	339	233	93	2.2k
Peter J. Horvath	293 0.4×	437 0.9×	291 0.8×	212 0.6×	118 0.5×	76	1.8k
Matthew S. Hickey	525 0.7×	1.3k 2.8×	524 1.5×	206 0.6×	185 0.8×	59	2.6k
J. LeBlanc	707 1.0×	2.0k 4.3×	195 0.5×	185 0.5×	398 1.7×	138	3.2k
Mark Parry‐Billings	590 0.8×	1.1k 2.3×	531 1.5×	245 0.7×	376 1.6×	64	3.1k
Masashige Suzuki	628 0.9×	1.3k 2.7×	596 1.7×	478 1.4×	211 0.9×	130	3.0k
J. Timothy Lightfoot	249 0.3×	958 2.0×	486 1.3×	221 0.7×	190 0.8×	103	3.0k
Glenn T. Peake	257 0.4×	578 1.2×	444 1.2×	106 0.3×	108 0.5×	80	3.0k
Tatiana Moro	514 0.7×	1.8k 3.9×	342 0.9×	329 1.0×	196 0.8×	67	2.9k
Richard W. Hubbard	382 0.5×	1.1k 2.2×	355 1.0×	157 0.5×	387 1.7×	87	2.5k
François Péronnet	1.0k 1.4×	1.3k 2.7×	178 0.5×	652 1.9×	546 2.3×	124	2.9k

Countries citing papers authored by Michael Greenwood

Since Specialization

Citations

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

Fields of papers citing papers by Michael Greenwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Greenwood

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