J.C. MacRae

4.9k citations
105 papers · 4.1k · 1 hit paper · h-index 35

Impact in

Papers in

J.C. MacRae

103 papers receiving 3.4k citations

J.C. MacRae's Hit Papers

Enzyme method for determination of α‐linked glucose polymers in biological materials 1968 · 361 citations
3610+19+38Years since publication100200300

Peers

J.C. MacRae
Comparison fields: 5 of 110
  • Agronomy and Crop Science 2.7k
  • Animal Science and Zoology 845
  • Small Animals 452
  • Forestry 219
  • Genetics 1.1k
Replace J. V. Nolan with:
J. V. Nolan Australia
D. Sauvant France
T. Sahlu United States
T. N. Barry New Zealand
A.L. Goetsch United States
D. C. Church United States
J.H. Clark United States
Evan C. Titgemeyer United States
B. W. Hess United States
H. Lapierre Canada
J.C. MacRae relative to J. V. Nolan Australia J. V. Nolan's profile →
Citations per field
00.5×1.5×
J. V. Nolan · 1×
Citations per year

Countries citing papers authored by J.C. MacRae

Since Specialization
Citations

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

Fields of papers citing papers by J.C. MacRae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J.C. MacRae, 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 J.C. MacRae Line = papers co-authored together J.C. MacRae links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enzyme method for determination of α‐linked glucose polymers in biological materials
Hit paper breakdown →
1968361
2 2001299
3 1969153
4 2006136
5 1985135
6 1978134
7 1971127
8 1969121
9 1974113
10 2000100
11 200392
12 200291
13 198685
14 198279
15 199176
16 199373
17 197468
18 198566
19 198865
20 197264

About J.C. MacRae

J.C. MacRae is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Genetics, Cell Biology and Molecular Biology, having authored 105 papers that have together received 4.1k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (43 papers), Muscle metabolism and nutrition (20 papers), Genetic and phenotypic traits in livestock (17 papers), Meat and Animal Product Quality (17 papers), Reproductive Physiology in Livestock (14 papers), Protein Hydrolysis and Bioactive Peptides (12 papers), Helminth infection and control (9 papers) and Animal Nutrition and Physiology (9 papers). The work is most often cited by research in Agronomy and Crop Science (2.7k citations), Animal Science and Zoology (845 citations), Small Animals (452 citations), Forestry (219 citations) and Genetics (1.1k citations). J.C. MacRae has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include David G. Armstrong, M. J. Ulyatt, G. E. Lobley, Michael K. Theodorou, N.D. Scollan, Stephen D. Wilson, J. M. Moorby, B.J. Bequette, D. E. Beever and David R. Davies. Their work appears in journals such as British Journal Of Nutrition, Journal of Dairy Science, The Journal of Agricultural Science, Journal of Animal Science and Research in Veterinary Science.

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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