R.J. Dewhurst

16.8k total citations · 4 hit papers
322 papers, 12.0k citations indexed

About

R.J. Dewhurst is a scholar working on Agronomy and Crop Science, Genetics and Mechanics of Materials. According to data from OpenAlex, R.J. Dewhurst has authored 322 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Agronomy and Crop Science, 90 papers in Genetics and 74 papers in Mechanics of Materials. Recurrent topics in R.J. Dewhurst's work include Ruminant Nutrition and Digestive Physiology (167 papers), Genetic and phenotypic traits in livestock (90 papers) and Reproductive Physiology in Livestock (65 papers). R.J. Dewhurst is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (167 papers), Genetic and phenotypic traits in livestock (90 papers) and Reproductive Physiology in Livestock (65 papers). R.J. Dewhurst collaborates with scholars based in United Kingdom, Ireland and New Zealand. R.J. Dewhurst's co-authors include Kenneth Holmqvist, Halszka Jarodzka, Joost van de Weijer, Marcus Nyström, S.B. Palmer, N.D. Scollan, Veerle Fievez, Michael R. F. Lee, Ana R. J. Cabrita and António J. M. Fonseca and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

R.J. Dewhurst

306 papers receiving 11.4k citations

Hit Papers

Eye tracking a comprehens... 2006 2026 2012 2019 2011 2006 2018 2016 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
R.J. Dewhurst 5.7k 2.5k 1.8k 1.6k 1.4k 322 12.0k
Ramon C. Littell 4.4k 0.8× 2.8k 1.1× 131 0.1× 2.8k 1.8× 1.3k 0.9× 173 23.6k
R.J. Collier 5.1k 0.9× 3.2k 1.3× 136 0.1× 6.8k 4.3× 685 0.5× 234 12.9k
Sung Woo Kim 1.4k 0.2× 1.6k 0.6× 147 0.1× 7.1k 4.5× 2.6k 1.9× 878 25.9k
George A. Milliken 930 0.2× 851 0.3× 66 0.0× 988 0.6× 420 0.3× 187 10.4k
Per B. Brockhoff 436 0.1× 1.0k 0.4× 40 0.0× 813 0.5× 743 0.5× 109 18.1k
David B. Duncan 2.2k 0.4× 1.2k 0.5× 69 0.0× 6.1k 3.8× 2.1k 1.6× 40 23.7k
Peter H. Westfall 500 0.1× 2.1k 0.9× 71 0.0× 257 0.2× 214 0.2× 94 18.9k
Morgan N. Price 568 0.1× 2.3k 1.0× 58 0.0× 371 0.2× 608 0.4× 96 22.0k
Michael J. Collins 653 0.1× 318 0.1× 133 0.1× 310 0.2× 74 0.1× 579 14.7k
S. R. Searle 582 0.1× 2.0k 0.8× 85 0.0× 410 0.3× 94 0.1× 148 12.3k

Countries citing papers authored by R.J. Dewhurst

Since Specialization
Citations

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

Fields of papers citing papers by R.J. Dewhurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.J. Dewhurst

This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Dewhurst. A scholar is included among the top collaborators of R.J. Dewhurst 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 R.J. Dewhurst. R.J. Dewhurst 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
1.
Dewhurst, R.J., et al.. (2024). Studying Chinook salmon in northern river ecosystems through ecological methods and Indigenous, Teslin Tlingit knowledge. Communications Biology. 7(1). 1657–1657. 1 indexed citations
2.
Martínez-Álvaro, Marina, Marc Auffret, Carol-Anne Duthie, et al.. (2024). Temporal stability of the rumen microbiome and its longitudinal associations with performance traits in beef cattle. Scientific Reports. 14(1). 20772–20772. 4 indexed citations
4.
Cantalapiedra-Hijar, Gonzalo, Isabelle Morel, G A Miller, et al.. (2022). Identifying cattle with superior growth feed efficiency through their natural 15N abundance and plasma urea concentration: A meta-analysis. SHILAP Revista de lepidopterología. 2. 3 indexed citations
5.
Sánchez-Molano, Enrique, et al.. (2021). Breeding strategies for improving smallholder dairy cattle productivity in Sub‐Saharan Africa. Journal of Animal Breeding and Genetics. 138(6). 668–687. 10 indexed citations
6.
Wang, Mengyuan, et al.. (2019). Understanding the relationships between rumen microbiome genes and metabolites to be used for prediction of cattle phenotypes. Ulster University Research Portal (Ulster University). 2 indexed citations
7.
Scollan, N.D., et al.. (2017). ANM volume 11 issue 4 Cover and Front matter. animal. 11(4). f1–f4. 1 indexed citations
8.
Scollan, N.D., et al.. (2017). ANM volume 11 issue 5 Cover and Front matter. animal. 11(5). f1–f4. 1 indexed citations
9.
Scollan, N.D., et al.. (2017). ANM volume 11 issue 2 Cover and Front matter. animal. 11(2). f1–f4. 1 indexed citations
10.
Scollan, N.D., et al.. (2017). ANM volume 11 issue 3 Cover and Front matter. animal. 11(3). f1–f4. 1 indexed citations
11.
Scollan, N.D., et al.. (2016). ANM volume 11 issue 1 Cover and Front matter. animal. 11(1). f1–f4. 1 indexed citations
12.
Liu, Yaowen, et al.. (2014). Analysis of major fatty acids in milk produced from high‐quality grazed pasture. New Zealand Journal of Agricultural Research. 57(3). 165–179. 9 indexed citations
13.
Johansson, Roger, Jana Holšánová, Mikael Johansson, R.J. Dewhurst, & Kenneth Holmqvist. (2012). Eye movements play an active role when visuospatial information is recalled from memory. Journal of Vision. 12(9). 1256–1256. 6 indexed citations
14.
Dewhurst, R.J., et al.. (2011). A new method for comparing scanpaths based on vectors and dimensions. Journal of Vision. 11(11). 502–502. 2 indexed citations
15.
Vlaeminck, B., Veerle Fievez, S. Tamminga, et al.. (2006). Milk Odd- and Branched-Chain Fatty Acids in Relation to the Rumen Fermentation Pattern. Journal of Dairy Science. 89(10). 3954–3964. 137 indexed citations
16.
Cabrita, Ana R. J., António J. M. Fonseca, R.J. Dewhurst, & E. Gomes. (2003). Nitrogen Supplementation of Corn Silages. 2. Assessing Rumen Function Using Fatty Acid Profiles of Bovine Milk. Journal of Dairy Science. 86(12). 4020–4032. 43 indexed citations
17.
Merry, R. J., David R. Davies, J. M. Moorby, et al.. (2003). Nitrogen and energy use efficiency in the rumen of cattle fed high sugar grass and/or red clover silage. Aspects of applied biology. 70. 15–16. 7 indexed citations
18.
Dhanoa, M.S., et al.. (2001). Rumen Acid Production from Dairy Feeds. 2. Effects of Diets Based on Corn Silage on Feed Intake and Milk Yield. Journal of Dairy Science. 84(12). 2730–2737. 5 indexed citations
19.
Beck, N.F.G., et al.. (2001). Development of a Simple In Vitro Assay for Estimating Net Rumen Acid Load from Diet Ingredients. Journal of Dairy Science. 84(5). 1109–1117. 17 indexed citations
20.
Dewhurst, R.J., et al.. (2001). Rumen Acid Production from Dairy Feeds. 1. Effects on Feed Intake and Milk Production of Dairy Cows Offered Grass or Corn Silages. Journal of Dairy Science. 84(12). 2721–2729. 16 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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