M. S. Mayes

40 total papers · 1.1k total citations
26 papers, 840 citations indexed

About

M. S. Mayes is a scholar working on Animal Science and Zoology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, M. S. Mayes has authored 26 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Animal Science and Zoology, 11 papers in Genetics and 6 papers in Agronomy and Crop Science. Recurrent topics in M. S. Mayes's work include Genetic and phenotypic traits in livestock (9 papers), Meat and Animal Product Quality (7 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). M. S. Mayes is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Meat and Animal Product Quality (7 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). M. S. Mayes collaborates with scholars based in United States, New Zealand and Egypt. M. S. Mayes's co-authors include Ted W. Huiatt, L. J. Rowe, E. Huff‐Lonergan, Steven M. Lonergan, Richard G. Tait, James M. Reecy, Marvin H. Stromer, Dorian J. Garrick, Bhanu P. Jena and Eun‐Hwan Jeong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and American Journal of Obstetrics and Gynecology.

In The Last Decade

M. S. Mayes

24 papers receiving 808 citations

Author Peers

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

Author Last Decade Papers Cites
M. S. Mayes 461 237 189 166 119 26 840
Reza Rezaei 229 0.5× 315 1.3× 103 0.5× 101 0.6× 154 1.3× 45 999
Hervé Garreau 425 0.9× 209 0.9× 106 0.6× 286 1.7× 158 1.3× 47 896
G. S. Nattrass 362 0.8× 256 1.1× 89 0.5× 194 1.2× 100 0.8× 28 768
G. W. Osbaldiston 159 0.3× 227 1.0× 47 0.2× 87 0.5× 109 0.9× 43 983
Kaisa Immonen 897 1.9× 166 0.7× 82 0.4× 99 0.6× 75 0.6× 15 1.0k
A. Cadenhead 370 0.8× 149 0.6× 210 1.1× 78 0.5× 136 1.1× 37 785
Logan M. Julian 263 0.6× 240 1.0× 113 0.6× 90 0.5× 96 0.8× 26 706
H. R. Jervis 171 0.4× 245 1.0× 51 0.3× 146 0.9× 102 0.9× 27 1.0k
Deping Han 189 0.4× 240 1.0× 37 0.2× 129 0.8× 50 0.4× 45 762
Seung-Hoon Lee 174 0.4× 438 1.8× 141 0.7× 84 0.5× 51 0.4× 49 873

Countries citing papers authored by M. S. Mayes

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Mayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. S. Mayes

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