J.P. Cant

4.2k total citations
139 papers, 3.3k citations indexed

About

J.P. Cant is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, J.P. Cant has authored 139 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Agronomy and Crop Science, 46 papers in Genetics and 45 papers in Animal Science and Zoology. Recurrent topics in J.P. Cant's work include Ruminant Nutrition and Digestive Physiology (44 papers), Reproductive Physiology in Livestock (36 papers) and Genetic and phenotypic traits in livestock (30 papers). J.P. Cant is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (44 papers), Reproductive Physiology in Livestock (36 papers) and Genetic and phenotypic traits in livestock (30 papers). J.P. Cant collaborates with scholars based in Canada, United States and Netherlands. J.P. Cant's co-authors include E.J. DePeters, B.W. McBride, R.L. Baldwin, Donald R. Trout, W.J. Croom, Sergio A. Burgos, V.R. Osborne, John Doelman, Manman Dai and Changting Xiao and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

J.P. Cant

138 papers receiving 3.2k citations

Author Peers

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

Author Last Decade Papers Cites
J.P. Cant 1.8k 1.2k 801 664 508 139 3.3k
B. W. Hess 2.6k 1.4× 1.2k 1.0× 1.3k 1.7× 618 0.9× 709 1.4× 96 5.4k
H. Lapierre 4.0k 2.2× 1.9k 1.6× 938 1.2× 597 0.9× 360 0.7× 175 5.4k
B.J. Bequette 1.1k 0.6× 860 0.7× 448 0.6× 580 0.9× 320 0.6× 84 2.4k
Kendall C Swanson 1.4k 0.8× 841 0.7× 907 1.1× 279 0.4× 227 0.4× 189 2.6k
K. Sejrsen 1.9k 1.0× 1.3k 1.0× 931 1.2× 340 0.5× 379 0.7× 72 3.0k
S. K. Duckett 1.4k 0.8× 739 0.6× 2.1k 2.7× 532 0.8× 716 1.4× 132 3.5k
B.J. Bradford 3.0k 1.7× 1.2k 1.0× 1.2k 1.5× 422 0.6× 430 0.8× 160 4.2k
K.J. Harvatine 2.7k 1.5× 1.3k 1.1× 877 1.1× 569 0.9× 1.5k 2.9× 137 4.1k
S.J. Bertics 2.8k 1.6× 1.5k 1.2× 637 0.8× 309 0.5× 283 0.6× 59 3.7k
J.J. Kennelly 3.5k 1.9× 1.8k 1.5× 1.0k 1.3× 615 0.9× 1000 2.0× 148 4.9k

Countries citing papers authored by J.P. Cant

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Cant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.P. Cant

This figure shows the co-authorship network connecting the top 25 collaborators of J.P. Cant. A scholar is included among the top collaborators of J.P. Cant 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 J.P. Cant. J.P. Cant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Innes, David, Dave J Seymour, J. France, et al.. (2023). Fitting mathematical functions to extended lactation curves and forecasting late-lactation milk yields of dairy cows. Journal of Dairy Science. 107(1). 342–358. 3 indexed citations
3.
Wood, Katharine M, et al.. (2023). Prepartum nutrient intake and colostrum yield and composition in ruminants. Animal Frontiers. 13(3). 24–36. 8 indexed citations
4.
Pomar, C., Marie‐France Palin, H. Lapierre, et al.. (2022). Insulin sensitivity is associated with the observed variation of de novo lipid synthesis and body composition in finishing pigs. Scientific Reports. 12(1). 14586–14586. 6 indexed citations
5.
Cant, J.P., et al.. (2021). Effect of Total Starch and Resistant Starch in Commercial Extruded Dog Foods on Gastric Emptying in Siberian Huskies. Animals. 11(10). 2928–2928. 2 indexed citations
6.
Hatew, B., Ó. López-Campos, J.P. Cant, et al.. (2021). Effects of energy source in milk replacer on glucose metabolism of neonatal dairy calves. Journal of Dairy Science. 104(4). 5009–5020. 16 indexed citations
7.
Teixeira, Izabelle Auxiliadora Molina de Almeida, et al.. (2020). Effects of jugular infused methionine, lysine, and histidine as a group or leucine and isoleucine as a group on production and metabolism in lactating dairy cows. Journal of Dairy Science. 103(3). 2387–2404. 36 indexed citations
8.
9.
Dye, Charles, et al.. (2018). Bovine Mammary Gland Biopsy Techniques. Journal of Visualized Experiments. 6 indexed citations
10.
Cant, J.P., et al.. (2017). The Potential Relationship between the Incidence of Neurodegenerative Disease and Trace Mineral Composition in the Drinking Water of Rural Residents of Ontario. Journal of Water Resource and Protection. 9(8). 881–889. 1 indexed citations
11.
12.
Mansilla, Wilfredo D, Cuilan Zhu, C. M. Nyachoti, et al.. (2017). Ammonia Nitrogen Added to Diets Deficient in Dispensable Amino Acid Nitrogen Is Poorly Utilized for Urea Production in Growing Pigs. Journal of Nutrition. 147(12). 2228–2234. 15 indexed citations
13.
Martínez–Ramírez, Héctor R., J.P. Cant, Anna K. Shoveller, James L. Atkinson, & C. F. M. de Lange. (2014). Whole-body retention of α-linolenic acid and its apparent conversion to othern-3 PUFA in growing pigs are reduced with the duration of feeding α-linolenic acid. British Journal Of Nutrition. 111(8). 1382–1393. 7 indexed citations
14.
Doelman, John, et al.. (2013). Decline in mammary translational capacity during intravenous glucose infusion into lactating dairy cows. Journal of Dairy Science. 97(1). 430–438. 24 indexed citations
15.
Osborne, V.R., et al.. (2010). Selenomethionine increases proliferation and reduces apoptosis in bovine mammary epithelial cells under oxidative stress. Journal of Dairy Science. 94(1). 165–173. 44 indexed citations
16.
Doelman, John, et al.. (2008). Short Communication: The Effects of Histidine-Supplemented Drinking Water on the Performance of Lactating Dairy Cows. Journal of Dairy Science. 91(10). 3998–4001. 9 indexed citations
17.
Trout, Donald R., et al.. (2007). Milk Synthetic Response of the Bovine Mammary Gland to an Increase in the Local Concentration of Amino Acids and Acetate. Journal of Dairy Science. 91(1). 218–228. 20 indexed citations
18.
Wright, Tom, et al.. (2007). Use of Flavored Drinking Water in Calves and Lactating Dairy Cattle. Journal of Dairy Science. 90(8). 3831–3837. 30 indexed citations
19.
AlZahal, Ousama, J.P. Cant, M. Z. Fan, et al.. (2006). Acidogenic value of feeds II. Effects of rumen acid load from feeds on dry matter intake, ruminal pH, fibre degradability and milk production in the lactating dairy cow. Canadian Journal of Animal Science. 86(1). 119–126. 21 indexed citations
20.
Wright, Tom, J.P. Cant, J. Thomas Brenna, & B.W. McBride. (2006). Acetyl CoA Carboxylase Shares Control of Fatty Acid Synthesis with Fatty Acid Synthase in Bovine Mammary Homogenate. Journal of Dairy Science. 89(7). 2552–2558. 24 indexed citations

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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