Phillip S. Miller

207 total papers · 3.6k total citations
123 papers, 2.8k citations indexed

About

Phillip S. Miller is a scholar working on Animal Science and Zoology, Small Animals and Agronomy and Crop Science. According to data from OpenAlex, Phillip S. Miller has authored 123 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Animal Science and Zoology, 31 papers in Small Animals and 16 papers in Agronomy and Crop Science. Recurrent topics in Phillip S. Miller's work include Animal Nutrition and Physiology (48 papers), Animal Behavior and Welfare Studies (28 papers) and Meat and Animal Product Quality (14 papers). Phillip S. Miller is often cited by papers focused on Animal Nutrition and Physiology (48 papers), Animal Behavior and Welfare Studies (28 papers) and Meat and Animal Product Quality (14 papers). Phillip S. Miller collaborates with scholars based in United States, China and United Kingdom. Phillip S. Miller's co-authors include A. J. Lewis, Robert L. Fischer, Sung Woo Kim, D. C. Mahan, G. L. Cromwell, Hans H Stein, T. E. Burkey, Karen J. Wedekind, Steven J. Stout and Roy T. McBurney and has published in prestigious journals such as Science, Journal of the American Chemical Society and Analytical Biochemistry.

In The Last Decade

Phillip S. Miller

115 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Phillip S. Miller 1.7k 893 381 344 328 123 2.8k
J. T. Yen 1.5k 0.9× 611 0.7× 420 1.1× 277 0.8× 264 0.8× 92 2.4k
P.B. Lynch 2.3k 1.3× 834 0.9× 327 0.9× 589 1.7× 351 1.1× 124 3.8k
B.W. Moss 1.8k 1.1× 568 0.6× 347 0.9× 214 0.6× 377 1.1× 90 3.1k
Charlotte Lauridsen 2.2k 1.3× 662 0.7× 313 0.8× 1.2k 3.4× 200 0.6× 137 4.3k
G. Bee 1.9k 1.1× 594 0.7× 416 1.1× 563 1.6× 333 1.0× 129 3.0k
P. A. Thacker 1.6k 0.9× 511 0.6× 499 1.3× 333 1.0× 211 0.6× 135 2.7k
T. D. Bidner 2.4k 1.4× 419 0.5× 388 1.0× 397 1.2× 351 1.1× 106 3.3k
M. D. Lindemann 2.2k 1.3× 787 0.9× 367 1.0× 630 1.8× 178 0.5× 149 3.5k
Joris Michiels 1.8k 1.0× 361 0.4× 163 0.4× 460 1.3× 331 1.0× 114 4.0k
R. D. Boyd 1.3k 0.7× 738 0.8× 252 0.7× 266 0.8× 253 0.8× 112 2.2k

Countries citing papers authored by Phillip S. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Phillip S. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip S. Miller

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