Kees van Reenen

1.0k total citations
31 papers, 725 citations indexed

About

Kees van Reenen is a scholar working on Small Animals, Animal Science and Zoology and Genetics. According to data from OpenAlex, Kees van Reenen has authored 31 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Small Animals, 13 papers in Animal Science and Zoology and 8 papers in Genetics. Recurrent topics in Kees van Reenen's work include Animal Behavior and Welfare Studies (15 papers), Animal health and immunology (9 papers) and Effects of Environmental Stressors on Livestock (8 papers). Kees van Reenen is often cited by papers focused on Animal Behavior and Welfare Studies (15 papers), Animal health and immunology (9 papers) and Effects of Environmental Stressors on Livestock (8 papers). Kees van Reenen collaborates with scholars based in Netherlands, United Kingdom and South Africa. Kees van Reenen's co-authors include Sietse F. de Boer, Bauke Buwalda, Jaap M. Koolhaas, B. Kemp, H. van den Brand, B. Engel, M. Wolthuis-Fillerup, Marie J. Haskell, Jill R D MacKay and John M. Deag and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Dairy Science.

In The Last Decade

Kees van Reenen

28 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kees van Reenen Netherlands 13 368 210 142 141 124 31 725
Janicke Nordgreen Norway 20 502 1.4× 438 2.1× 121 0.9× 134 1.0× 41 0.3× 42 959
Pier Attilio Accorsi Italy 18 395 1.1× 317 1.5× 141 1.0× 43 0.3× 76 0.6× 50 1.0k
Katie L. Edwards United States 18 333 0.9× 133 0.6× 112 0.8× 135 1.0× 25 0.2× 46 768
Jeff Rushen Canada 13 582 1.6× 416 2.0× 209 1.5× 251 1.8× 67 0.5× 19 1.1k
J.E. Bolhuis Netherlands 19 692 1.9× 551 2.6× 242 1.7× 150 1.1× 52 0.4× 28 1.2k
J. Morrow-Tesch United States 17 672 1.8× 669 3.2× 93 0.7× 56 0.4× 107 0.9× 28 1.3k
J. R. Waas New Zealand 16 205 0.6× 146 0.7× 85 0.6× 127 0.9× 18 0.1× 30 680
Michael Lepschy Austria 8 361 1.0× 226 1.1× 109 0.8× 125 0.9× 108 0.9× 10 559
E. Moestl Austria 8 370 1.0× 249 1.2× 135 1.0× 225 1.6× 58 0.5× 10 675
Alain Boissy France 15 429 1.2× 272 1.3× 102 0.7× 91 0.6× 30 0.2× 19 639

Countries citing papers authored by Kees van Reenen

Since Specialization
Citations

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

Fields of papers citing papers by Kees van Reenen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kees van Reenen. 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 Kees van Reenen. The network helps show where Kees van Reenen may publish in the future.

Co-authorship network of co-authors of Kees van Reenen

This figure shows the co-authorship network connecting the top 25 collaborators of Kees van Reenen. A scholar is included among the top collaborators of Kees van Reenen 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 Kees van Reenen. Kees van Reenen 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.
Sayers, G., et al.. (2025). Effects of pre- and post-transport feeding protocols on the metabolism and physiological status of veal calves. Journal of Dairy Science. 108(8). 8803–8818.
2.
Brand, H. van den, R.M. Bruckmaier, J.J. Gross, et al.. (2024). Effects of transport age (14 versus 28 days of age) on blood total cholesterol, insulin, and insulin-like growth factor-1 concentrations of veal calves. Journal of Dairy Science. 107(8). 6104–6116. 1 indexed citations
3.
Dixhoorn, I.D.E. van, et al.. (2024). From data on gross activity to the characterization of animal behaviour: which metrics for which purposes?. SHILAP Revista de lepidopterología. 4.
4.
Gonzalez, Teresita d. J. Bello, et al.. (2022). Changes in Fecal Carriage of Extended-Spectrum β-Lactamase Producing Enterobacterales in Dutch Veal Calves by Clonal Spread of Klebsiella pneumoniae. Frontiers in Microbiology. 13. 866674–866674. 4 indexed citations
5.
Brand, H. van den, B. Kemp, B. Engel, et al.. (2021). Calf and dam characteristics and calf transport age affect immunoglobulin titers and hematological parameters of veal calves. Journal of Dairy Science. 105(2). 1432–1451. 12 indexed citations
6.
Brand, H. van den, B. Kemp, B. Engel, et al.. (2021). Effects of transport age and calf and maternal characteristics on health and performance of veal calves. Journal of Dairy Science. 105(2). 1452–1468. 19 indexed citations
7.
Brand, H. van den, Christine A. Jansen, Victor P. M. G. Rutten, et al.. (2021). Effects of pre-transport diet, transport duration and transport condition on immune cell subsets, haptoglobin, cortisol and bilirubin in young veal calves. PLoS ONE. 16(2). e0246959–e0246959. 13 indexed citations
8.
Reenen, Kees van, et al.. (2021). A Systematic Review of Automatic Health Monitoring in Calves: Glimpsing the Future From Current Practice. Frontiers in Veterinary Science. 8. 761468–761468. 25 indexed citations
9.
Brand, H. van den, et al.. (2020). Effects of pretransport diet, transport duration, and type of vehicle on physiological status of young veal calves. Journal of Dairy Science. 103(4). 3505–3520. 37 indexed citations
10.
11.
Brand, H. van den, et al.. (2018). Evaluating Potential Biomarkers of Health and Performance in Veal Calves. Frontiers in Veterinary Science. 5. 133–133. 56 indexed citations
12.
Rommers, J.M., et al.. (2015). Risicoanalyse dierenwelzijn zuivelketen : Deskstudie en expert opinie. Socio-Environmental Systems Modeling. 1 indexed citations
13.
Ortolani, Alessia, et al.. (2013). Assessing dogs’adaptive capacities at the vet. Journal of Veterinary Behavior. 8(4). e28–e28. 1 indexed citations
14.
Reenen, Kees van, et al.. (2010). Experts' assessment of temperament in sport horses. Journal of Veterinary Behavior. 5(4). 214–215. 12 indexed citations
15.
Dalmau, Antoni, N.A. Geverink, Annelies Van Nuffel, et al.. (2010). Repeatability of lameness, fear and slipping scores to assess animal welfare upon arrival in pig slaughterhouses. animal. 4(5). 804–809. 24 indexed citations
16.
Koolhaas, Jaap M., Sietse F. de Boer, Bauke Buwalda, & Kees van Reenen. (2007). Individual Variation in Coping with Stress: A Multidimensional Approach of Ultimate and Proximate Mechanisms. Brain Behavior and Evolution. 70(4). 218–226. 346 indexed citations
17.
Groot, Johanna de, Godelieve Kranendonk, H. Hopster, et al.. (2007). Response to LPS in female offspring from sows treated with cortisol during pregnancy. Physiology & Behavior. 90(4). 612–618. 29 indexed citations
18.
Kranendonk, Godelieve, H. Hopster, Kees van Reenen, et al.. (2005). Evaluation of oral administration of cortisol as a model for prenatal stress in pregnant sows. American Journal of Veterinary Research. 66(5). 780–790. 24 indexed citations
19.
Reenen, Kees van, et al.. (2000). Wateropname door witvleeskalveren kan hoog oplopen. Socio-Environmental Systems Modeling. 13(6). 28–30. 1 indexed citations
20.
Reenen, Kees van, et al.. (2000). Water intake by veal calves can be very high.. 13(6). 28–30. 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.

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