K.L. Macmillan

2.6k citations
86 papers · 2.1k indexed · h-index 28

K.L. Macmillan

85 papers receiving 1.9k citations

Peers

K.L. Macmillan
Comparison fields: 5 of 100
  • Agronomy and Crop Science 1.6k
  • Animal Science and Zoology 468
  • Genetics 1.3k
  • Small Animals 182
  • Reproductive Medicine 174
Replace W. R. Lamberson with:
W. R. Lamberson United States
W. E. Beal United States
F. N. Kojima United States
Toshihiko NAKAO Japan
R. N. Funston United States
C.R. Burke New Zealand
Joel Yelich United States
B. M. Bindon Australia
L. Badinga United States
C. Viñoles Uruguay
K.L. Macmillan relative to W. R. Lamberson United States W. R. Lamberson's profile →
Citations per field
00.5×1.5×1.9×
W. R. Lamberson · 1×
Citations per year

Countries citing papers authored by K.L. Macmillan

Since Specialization
Citations

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

Fields of papers citing papers by K.L. Macmillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.L. Macmillan. 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 K.L. Macmillan. The network helps show where K.L. Macmillan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside K.L. Macmillan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K.L. Macmillan Line = papers co-authored together K.L. Macmillan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201718
2 201793
3 201574
4 201428
5 201119
6 200776
7 200612
8 20055
9 20049
10
Relationships between milk protein percentage and reproductive performance in Australian dairy cows
20039
11 200212
12 200157
13 200117
14 199920
15 199512
16
Developments in artificial insemination and controlled breeding in dairy cattle and deer in New Zealand.
199011
17 1988106
18
Factors influencing the interval to post-partum oestrus, conception date and empty rate in an intensively managed dairy herd.
198035
19 197929
20 196817

About K.L. Macmillan

K.L. Macmillan is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics, having authored 86 papers that have together received 2.1k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (70 papers), Genetic and phenotypic traits in livestock (57 papers), Ruminant Nutrition and Digestive Physiology (34 papers), Effects of Environmental Stressors on Livestock (20 papers), Sperm and Testicular Function (7 papers), Reproductive Biology and Fertility (5 papers), Milk Quality and Mastitis in Dairy Cows (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Agronomy and Crop Science (1.6k citations), Animal Science and Zoology (468 citations) and Genetics (1.3k citations). K.L. Macmillan has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include H. D. Hafs, M.J. Auldist, Kevin R. Nicholas, C. Grainger, Christophe Lefèvre, Franz Schwarzenberger, John Cavalieri, A.R. Rabiee, S McDougall and Christopher R. Burke. Their work appears in journals such as Journal of Dairy Science, Animal Reproduction Science, Theriogenology, Journal of Animal Science and New Zealand Veterinary Journal.

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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