M. J. Playne

62 total papers · 4.0k total citations
40 papers, 3.0k citations indexed

About

M. J. Playne is a scholar working on Agronomy and Crop Science, Nutrition and Dietetics and Food Science. According to data from OpenAlex, M. J. Playne has authored 40 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Agronomy and Crop Science, 14 papers in Nutrition and Dietetics and 12 papers in Food Science. Recurrent topics in M. J. Playne's work include Ruminant Nutrition and Digestive Physiology (15 papers), Microbial Metabolites in Food Biotechnology (10 papers) and Probiotics and Fermented Foods (10 papers). M. J. Playne is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (15 papers), Microbial Metabolites in Food Biotechnology (10 papers) and Probiotics and Fermented Foods (10 papers). M. J. Playne collaborates with scholars based in Australia, Finland and Japan. M. J. Playne's co-authors include Ross Crittenden, P. McDonald, Seppo Salminen, Elina Tuomola, Erika Isolauri, B. R. Smith, G.H. McIntosh, Peter J. Royle, David L. Topping and Louise E. Bennett and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Nutrition and Infection and Immunity.

In The Last Decade

M. J. Playne

40 papers receiving 2.7k citations

Hit Papers

The buffering constituent... 1966 2026 1986 2006 1966 1996 200 400 600

Author Peers

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

Author Last Decade Papers Cites
M. J. Playne 1.2k 1.1k 901 821 419 40 3.0k
Anil Kumar Puniya 677 0.6× 1.2k 1.2× 1.5k 1.7× 1.2k 1.5× 258 0.6× 118 4.1k
F. Driehuis 462 0.4× 1.0k 1.0× 742 0.8× 1.7k 2.0× 264 0.6× 44 3.2k
Judith Narvhus 1.2k 1.0× 2.4k 2.2× 1.0k 1.1× 372 0.5× 206 0.5× 93 3.2k
Hilário Cuquetto Mantovani 408 0.3× 1.2k 1.2× 1.4k 1.6× 1.3k 1.5× 375 0.9× 146 3.5k
Andrew Chesson 613 0.5× 769 0.7× 1.1k 1.2× 683 0.8× 298 0.7× 114 3.5k
Frédéric Gaucheron 709 0.6× 2.4k 2.2× 934 1.0× 403 0.5× 304 0.7× 61 3.5k
Alistair S. Grandison 1.3k 1.1× 2.4k 2.3× 979 1.1× 891 1.1× 534 1.3× 147 4.7k
P. N. Hobson 590 0.5× 308 0.3× 820 0.9× 2.2k 2.7× 497 1.2× 85 3.9k
Léo Meile 729 0.6× 2.2k 2.0× 2.1k 2.3× 431 0.5× 313 0.7× 119 4.0k
Shengguo Zhao 445 0.4× 527 0.5× 1.3k 1.4× 1.0k 1.2× 300 0.7× 122 3.3k

Countries citing papers authored by M. J. Playne

Since Specialization
Citations

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

Fields of papers citing papers by M. J. Playne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Playne. 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 M. J. Playne. The network helps show where M. J. Playne may publish in the future.

Co-authorship network of co-authors of M. J. Playne

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Playne. A scholar is included among the top collaborators of M. J. Playne 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 M. J. Playne. M. J. Playne 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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