R.J. van de Ven

1.1k total citations
30 papers, 847 citations indexed

About

R.J. van de Ven is a scholar working on Animal Science and Zoology, Agronomy and Crop Science and Insect Science. According to data from OpenAlex, R.J. van de Ven has authored 30 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Animal Science and Zoology, 5 papers in Agronomy and Crop Science and 5 papers in Insect Science. Recurrent topics in R.J. van de Ven's work include Meat and Animal Product Quality (20 papers), Animal Nutrition and Physiology (10 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). R.J. van de Ven is often cited by papers focused on Meat and Animal Product Quality (20 papers), Animal Nutrition and Physiology (10 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). R.J. van de Ven collaborates with scholars based in Australia, Brazil and China. R.J. van de Ven's co-authors include David Hopkins, Benjamin W.B. Holman, Cassius E.O. Coombs, Yanwei Mao, Eric N. Ponnampalam, Matthew Kerr, Robyn D. Warner, R. D. Bush, Tharcilla I. R. C. Alvarenga and Melanie A. Smith and has published in prestigious journals such as Journal of Hydrology, Meat Science and Small Ruminant Research.

In The Last Decade

R.J. van de Ven

30 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.J. van de Ven Australia 16 654 159 140 117 97 30 847
Oreste Franci Italy 20 817 1.2× 170 1.1× 130 0.9× 75 0.6× 145 1.5× 61 1.0k
L. Frylinck South Africa 15 523 0.8× 105 0.7× 96 0.7× 58 0.5× 80 0.8× 41 665
R. J. Maddock United States 18 817 1.2× 230 1.4× 151 1.1× 48 0.4× 66 0.7× 40 953
D.N. D’Souza Australia 21 1.3k 2.0× 195 1.2× 111 0.8× 95 0.8× 146 1.5× 98 1.5k
Ceferina Vieira Spain 15 675 1.0× 197 1.2× 117 0.8× 73 0.6× 80 0.8× 36 778
J. de la Fuente Spain 20 779 1.2× 100 0.6× 257 1.8× 56 0.5× 110 1.1× 55 1.1k
Maria Cristina Bressan Brazil 21 770 1.2× 119 0.7× 229 1.6× 45 0.4× 89 0.9× 61 980
G. Destefanis Italy 11 534 0.8× 164 1.0× 95 0.7× 49 0.4× 96 1.0× 24 728
K.R. Matthews United Kingdom 15 799 1.2× 157 1.0× 81 0.6× 74 0.6× 173 1.8× 30 1.1k
W. R. Caine Canada 16 587 0.9× 195 1.2× 107 0.8× 43 0.4× 91 0.9× 30 775

Countries citing papers authored by R.J. van de Ven

Since Specialization
Citations

This map shows the geographic impact of R.J. van de Ven'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. van de Ven 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. van de Ven more than expected).

Fields of papers citing papers by R.J. van de Ven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.J. van de Ven

This figure shows the co-authorship network connecting the top 25 collaborators of R.J. van de Ven. A scholar is included among the top collaborators of R.J. van de Ven 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. van de Ven. R.J. van de Ven 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.
Holman, Benjamin W.B., R.J. van de Ven, Yanwei Mao, Cassius E.O. Coombs, & David Hopkins. (2017). Using instrumental (CIE and reflectance) measures to predict consumers' acceptance of beef colour. Meat Science. 127. 57–62. 184 indexed citations
2.
Smith, Melanie A., R. D. Bush, R.J. van de Ven, et al.. (2016). The impact of gender and age on the nutritional parameters of alpaca ( Vicugna pacos ) meat, colour stability and fat traits. Meat Science. 123. 21–28. 14 indexed citations
3.
Alvarenga, Tharcilla I. R. C., Yizhou Chen, Paul Lewandowski, et al.. (2016). The expression of genes encoding enzymes regulating fat metabolism is affected by maternal nutrition when lambs are fed algae high in omega-3. Livestock Science. 187. 53–60. 13 indexed citations
4.
Holman, Benjamin W.B., Yanwei Mao, Cassius E.O. Coombs, R.J. van de Ven, & David Hopkins. (2016). Relationship between colorimetric (instrumental) evaluation and consumer-defined beef colour acceptability. Meat Science. 121. 104–106. 66 indexed citations
5.
McGrath, Shawn, Benjamin W.B. Holman, Michael Friend, et al.. (2016). The effect of forage type on lamb carcass traits, meat quality and sensory traits. Meat Science. 119. 95–101. 56 indexed citations
6.
Smith, Melanie A., R. D. Bush, R.J. van de Ven, & David Hopkins. (2016). The combined effects of grain supplementation and tenderstretching on alpaca (Vicugna pacos) meat quality. Meat Science. 125. 53–60. 12 indexed citations
7.
Smith, Melanie A., R. D. Bush, R.J. van de Ven, & David Hopkins. (2015). Effect of electrical stimulation and ageing period on alpaca (Vicugna pacos) meat and eating quality. Meat Science. 111. 38–46. 22 indexed citations
8.
Holman, Benjamin W.B., Tharcilla I. R. C. Alvarenga, R.J. van de Ven, & David Hopkins. (2015). A comparison of technical replicate (cuts) effect on lamb Warner–Bratzler shear force measurement precision. Meat Science. 105. 93–95. 44 indexed citations
9.
Holman, Benjamin W.B., Tharcilla I. R. C. Alvarenga, R.J. van de Ven, & David Hopkins. (2014). Influence of myofibril orientation on lamb colour measurement and colour stability.. Archivos Latinoamericanos de Producción Animal. 22(5). 147–150. 1 indexed citations
10.
Jay, Nigel P., R.J. van de Ven, & David Hopkins. (2014). Comparison of rankings for lean meat based on results from a CT scanner and a video image analysis system. Meat Science. 98(2). 316–320. 7 indexed citations
11.
Holman, Benjamin W.B., Eric N. Ponnampalam, R.J. van de Ven, Matthew G. Kerr, & David Hopkins. (2014). Lamb meat colour values (HunterLab CIE and reflectance) are influenced by aperture size (5mm v. 25mm). Meat Science. 100. 202–208. 30 indexed citations
12.
Hopkins, David, Edward Clayton, R.J. van de Ven, et al.. (2014). The impact of supplementing lambs with algae on growth, meat traits and oxidative status. Meat Science. 98(2). 135–141. 88 indexed citations
13.
Hopkins, David, P. G. Allingham, Michelle L. Colgrave, & R.J. van de Ven. (2013). Interrelationship between measures of collagen, compression, shear force and tenderness. Meat Science. 95(2). 219–223. 35 indexed citations
14.
Hopkins, David, et al.. (2013). Examination of the effect of ageing and temperature at rigor on colour stability of lamb meat. Meat Science. 95(2). 311–316. 28 indexed citations
15.
Hopkins, David, et al.. (2012). Evaluation of the Hennessy Grading Probe for use in lamb carcases. Meat Science. 93(3). 752–756. 5 indexed citations
16.
Ven, R.J. van de, K.L. Pearce, & David Hopkins. (2012). Post-mortem modelling of pH and temperature in related lamb carcases. Meat Science. 96(2). 1034–1039. 21 indexed citations
17.
Ven, R.J. van de, K.L. Pearce, & David Hopkins. (2012). Modelling the decline of pH in muscles of lamb carcases. Meat Science. 93(1). 79–84. 6 indexed citations
19.
Medd, R. W., et al.. (2007). Field validation of the factors related to clodinafop efficacy on Avena species. Weed Research. 47(1). 15–24. 3 indexed citations
20.
Ven, R.J. van de, et al.. (2000). Improved Design and Use of Shower and Plunge Dipping Equipment for the Eradication of Sheep Body Lice (Bovicola ovis). Asian-Australasian Journal of Animal Sciences. 13. 305–307. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026