J. France

17.7k total citations · 1 hit paper
324 papers, 13.1k citations indexed

About

J. France is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, J. France has authored 324 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Agronomy and Crop Science, 102 papers in Genetics and 96 papers in Animal Science and Zoology. Recurrent topics in J. France's work include Ruminant Nutrition and Digestive Physiology (167 papers), Genetic and phenotypic traits in livestock (96 papers) and Animal Nutrition and Physiology (59 papers). J. France is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (167 papers), Genetic and phenotypic traits in livestock (96 papers) and Animal Nutrition and Physiology (59 papers). J. France collaborates with scholars based in Canada, United Kingdom and Netherlands. J. France's co-authors include E. Kebreab, J. Dijkstra, M.S. Dhanoa, A. Bannink, Secundino López, Barbara A. Williams, Michael K. Theodorou, J.L. Ellis, B.W. McBride and D. E. Beever and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

J. France

314 papers receiving 12.3k citations

Hit Papers

A simple gas production method using a pressure transduce... 1994 2026 2004 2015 1994 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. France Canada 61 8.5k 3.5k 3.3k 2.2k 1.4k 324 13.1k
Michael Kreuzer Switzerland 59 8.5k 1.0× 2.4k 0.7× 3.8k 1.2× 2.4k 1.1× 1.7k 1.2× 451 13.8k
E. Kebreab United States 58 7.2k 0.8× 2.4k 0.7× 2.9k 0.9× 3.8k 1.7× 1.4k 1.0× 312 12.5k
J. Dijkstra Netherlands 70 12.7k 1.5× 4.6k 1.3× 3.8k 1.2× 3.2k 1.5× 1.4k 1.0× 435 17.3k
Luís O Tedeschi United States 45 5.9k 0.7× 3.4k 1.0× 3.1k 1.0× 1.2k 0.6× 893 0.6× 378 8.7k
C. J. Newbold United Kingdom 60 8.8k 1.0× 1.7k 0.5× 1.7k 0.5× 1.1k 0.5× 1.5k 1.1× 245 12.2k
B.W. McBride Canada 56 7.8k 0.9× 3.5k 1.0× 3.4k 1.0× 869 0.4× 593 0.4× 271 11.5k
K. A. Beauchemin Canada 80 18.3k 2.2× 5.8k 1.7× 5.5k 1.7× 4.0k 1.8× 2.7k 1.9× 477 23.5k
James B. Robertson United States 21 16.8k 2.0× 4.3k 1.2× 6.8k 2.1× 1.9k 0.8× 4.7k 3.3× 56 24.4k
Le Luo Guan Canada 63 5.6k 0.7× 2.0k 0.6× 1.6k 0.5× 679 0.3× 858 0.6× 289 11.9k
D.A. Kenny Ireland 49 5.3k 0.6× 3.6k 1.0× 1.7k 0.5× 806 0.4× 330 0.2× 238 8.1k

Countries citing papers authored by J. France

Since Specialization
Citations

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

Fields of papers citing papers by J. France

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. France

This figure shows the co-authorship network connecting the top 25 collaborators of J. France. A scholar is included among the top collaborators of J. France 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. France. J. France 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.
Dhanoa, M.S., Secundino López, Christopher D. Powell, et al.. (2021). An Illustrative Analysis of Atypical Gas Production Profiles Obtained from In Vitro Digestibility Studies Using Fecal Inoculum. Animals. 11(4). 1069–1069. 4 indexed citations
4.
Powell, Christopher D., Secundino López, & J. France. (2020). New Insights into Modelling Bacterial Growth with Reference to the Fish Pathogen Flavobacterium psychrophilum. Animals. 10(3). 435–435. 4 indexed citations
5.
Powell, Christopher D., M.S. Dhanoa, Jo‐Anne Murray, et al.. (2020). Models Based on the Mitscherlich Equation for Describing Typical and Atypical Gas Production Profiles Obtained from In Vitro Digestibility Studies Using Equine Faecal Inoculum. Animals. 10(2). 308–308. 5 indexed citations
6.
Ranilla, María José, et al.. (2019). Chemical Composition, In Vitro Digestibility and Rumen Fermentation Kinetics of Agro-Industrial By-Products. Animals. 9(11). 861–861. 59 indexed citations
8.
Kebreab, E., et al.. (2018). Summaries of Communications. Canadian Journal of Animal Science. 98(4). 902–906.
9.
López, Secundino, E. Kebreab, Dorinha Miriam Silber Schmidt Vitti, et al.. (2018). Phosphorus utilization in broilers fed with diets supplemented with different feed ingredients. Scientia Agricola. 76(1). 18–23. 5 indexed citations
10.
Crompton, L.A., Leslie L. McKnight, C.K. Reynolds, et al.. (2017). An isotope dilution model for partitioning of phenylalanine and tyrosine uptake by the liver of lactating dairy cows. Journal of Theoretical Biology. 444. 100–107. 2 indexed citations
11.
Hook, Sarah E., J. Dijkstra, A.-D. G. Wright, B.W. McBride, & J. France. (2011). Modeling the distribution of ciliate protozoa in the reticulo-rumen using linear programming. Journal of Dairy Science. 95(1). 255–265. 14 indexed citations
12.
Ellis, J.L., J. Dijkstra, J. France, et al.. (2011). Effect of high-sugar grasses on methane emissions simulated using a dynamic model. Journal of Dairy Science. 95(1). 272–285. 56 indexed citations
13.
Strathe, Anja Varmløse, J. Dijkstra, J. France, et al.. (2011). A Bayesian approach to analyze energy balance data from lactating dairy cows. Journal of Dairy Science. 94(5). 2520–2531. 14 indexed citations
14.
Porter, Thomas H., E. Kebreab, H. Darmani Kuhi, et al.. (2010). Flexible alternatives to the Gompertz equation for describing growth with age in turkey hens. Poultry Science. 89(2). 371–378. 41 indexed citations
15.
Kebreab, E., et al.. (2004). Study of the Lactation Curve in Dairy Cattle on Farms in Central Mexico. Journal of Dairy Science. 87(11). 3789–3799. 74 indexed citations
16.
Kuhi, H. Darmani, E. Kebreab, Secundino López, & J. France. (2003). An evaluation of different growth functions for describing the profile of live weight with time (age) in meat and egg strains of chicken. Poultry Science. 82(10). 1536–1543. 56 indexed citations
17.
Sutton, John, M.S. Dhanoa, S. V. Morant, et al.. (2003). Rates of Production of Acetate, Propionate, and Butyrate in the Rumen of Lactating Dairy Cows Given Normal and Low-Roughage Diets. Journal of Dairy Science. 86(11). 3620–3633. 236 indexed citations
18.
Dhanoa, M.S., Secundino López, J. Dijkstra, et al.. (2000). Estimating the extent of degradation of ruminant feeds from a description of their gas production profiles observedin vitro: comparison of models. British Journal Of Nutrition. 83(2). 131–142. 58 indexed citations
19.
Harding, Clifford V., J. France, Rui Song, et al.. (1995). Novel dipeptide aldehydes are proteasome inhibitors and block the MHC-I antigen-processing pathway. The Journal of Immunology. 155(4). 1767–1775. 93 indexed citations
20.
Gill, M., J. France, Mark A. Summers, Brian W. McBride, & L. P. Milligan. (1989). Mathematical Integration of Protein Metabolism in Growing Lambs. Journal of Nutrition. 119(9). 1269–1286. 22 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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