W.H. McMillan

43 total papers · 615 total citations
39 papers, 504 citations indexed

About

W.H. McMillan is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, W.H. McMillan has authored 39 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Agronomy and Crop Science, 23 papers in Public Health, Environmental and Occupational Health and 18 papers in Genetics. Recurrent topics in W.H. McMillan's work include Reproductive Biology and Fertility (23 papers), Reproductive Physiology in Livestock (23 papers) and Genetic and phenotypic traits in livestock (15 papers). W.H. McMillan is often cited by papers focused on Reproductive Biology and Fertility (23 papers), Reproductive Physiology in Livestock (23 papers) and Genetic and phenotypic traits in livestock (15 papers). W.H. McMillan collaborates with scholars based in New Zealand and United States. W.H. McMillan's co-authors include Michael McDonald, Martyn Donnison, A. J. Peterson, R. Vishwanath, H.R. Tervit, A. M. Ledgard, David N. Wells, Martin C. Berg, Grant Smolenski and Pavla M. Misica and has published in prestigious journals such as Fertility and Sterility, Theriogenology and Animal Reproduction Science.

In The Last Decade

W.H. McMillan

38 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
W.H. McMillan	338	300	268	120	58	39	504
T. O’Shea	330 1.0×	221 0.7×	235 0.9×	111 0.9×	119 2.1×	41	578
R. A. S. LAWSON	362 1.1×	297 1.0×	233 0.9×	91 0.8×	41 0.7×	20	556
Marcos Antônio Lemos Oliveira	218 0.6×	255 0.8×	188 0.7×	127 1.1×	80 1.4×	81	458
J.P. Mialot	281 0.8×	170 0.6×	248 0.9×	60 0.5×	107 1.8×	28	542
S. Meinecke‐Tillmann	192 0.6×	188 0.6×	171 0.6×	132 1.1×	91 1.6×	55	489
K. Larsson	292 0.9×	240 0.8×	223 0.8×	222 1.9×	32 0.6×	24	513
Ríbrio Ivan Tavares Pereira Batista	251 0.7×	372 1.2×	163 0.6×	203 1.7×	85 1.5×	60	518
R.L. Pashen	273 0.8×	201 0.7×	192 0.7×	55 0.5×	108 1.9×	33	523
A. M. Ledgard	295 0.9×	328 1.1×	185 0.7×	108 0.9×	144 2.5×	25	515
Pablo U. Díaz	296 0.9×	218 0.7×	131 0.5×	102 0.8×	67 1.2×	27	449

Countries citing papers authored by W.H. McMillan

Since Specialization

Citations

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

Fields of papers citing papers by W.H. McMillan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.H. McMillan. 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 W.H. McMillan. The network helps show where W.H. McMillan may publish in the future.

Co-authorship network of co-authors of W.H. McMillan

This figure shows the co-authorship network connecting the top 25 collaborators of W.H. McMillan. A scholar is included among the top collaborators of W.H. McMillan 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 W.H. McMillan. W.H. McMillan 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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