T. E. C. Weekes

926 citations
44 papers · 671 · h-index 15

Impact in

Papers in

T. E. C. Weekes

44 papers receiving 579 citations

Peers

T. E. C. Weekes
Comparison fields: 5 of 81
  • Agronomy and Crop Science 325
  • Animal Science and Zoology 173
  • Equine 12
  • Endocrinology, Diabetes and Metabolism 111
  • Small Animals 49
Replace JM Bassett with:
JM Bassett Australia
Ronald P. Brockman Canada
Alexmary Connell United Kingdom
R. L. Horst United States
Christina M. Evock United States
IG Jarrett Australia
Yannick Faulconnier France
Stuart N. McCutcheon New Zealand
W. R. Gomes United States
M. Saeb Iran
T. E. C. Weekes relative to JM Bassett Australia JM Bassett's profile →
Citations per field
00.5×4.5×
JM Bassett · 1×
Citations per year

Countries citing papers authored by T. E. C. Weekes

Since Specialization
Citations

This map shows the geographic impact of T. E. C. Weekes'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 T. E. C. Weekes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. C. Weekes more than expected).

Fields of papers citing papers by T. E. C. Weekes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. E. C. Weekes. 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 T. E. C. Weekes. The network helps show where T. E. C. Weekes may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198364
2 197759
3 198257
4 197255
5 198551
6 198540
7 197237
8 198525
9 199024
10 197421
11 197119
12 198117
13 198616
14 197716
15 198114
16 199612
17 199212
18 198412
19 199511
20 200410

About T. E. C. Weekes

T. E. C. Weekes is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Physiology, Genetics and Molecular Biology, having authored 44 papers that have together received 671 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (12 papers), Ruminant Nutrition and Digestive Physiology (11 papers), Genetic and phenotypic traits in livestock (8 papers), Adipose Tissue and Metabolism (7 papers), Diet and metabolism studies (7 papers), Muscle metabolism and nutrition (5 papers), Radioactive contamination and transfer (4 papers) and Effects of Environmental Stressors on Livestock (4 papers). The work is most often cited by research in Agronomy and Crop Science (325 citations), Animal Science and Zoology (173 citations), Equine (12 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Small Animals (49 citations). T. E. C. Weekes has collaborated with scholars based in United Kingdom, France and Japan. Frequent co-authors include David G. Armstrong, Yuka Sasaki, M. F. Fuller, A. Cadenhead, W. S. Mackie, Rosa M. Campbell, B. F. Fell, Patricia M. M. Godden, J.A. Metcalf and Hidenori Takahashi. Their work appears in journals such as The Journal of Agricultural Science, Proceedings of The Nutrition Society, Hormone and Metabolic Research, British Journal Of Nutrition and Domestic Animal Endocrinology.

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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