H.M.J. van Hees

497 total citations
28 papers, 353 citations indexed

About

H.M.J. van Hees is a scholar working on Animal Science and Zoology, Small Animals and Ecology. According to data from OpenAlex, H.M.J. van Hees has authored 28 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Animal Science and Zoology, 21 papers in Small Animals and 7 papers in Ecology. Recurrent topics in H.M.J. van Hees's work include Animal Nutrition and Physiology (22 papers), Animal Behavior and Welfare Studies (21 papers) and Agriculture Sustainability and Environmental Impact (7 papers). H.M.J. van Hees is often cited by papers focused on Animal Nutrition and Physiology (22 papers), Animal Behavior and Welfare Studies (21 papers) and Agriculture Sustainability and Environmental Impact (7 papers). H.M.J. van Hees collaborates with scholars based in Netherlands, Belgium and United States. H.M.J. van Hees's co-authors include W.J.J. Gerrits, Theo van Kempen, L.A. den Hartog, P. Langendijk, T. A. T. G. van Kempen, A.J.M. Jansman, Geert Janssens, C. Farmer, Hélène Quesnel and Sam Millet and has published in prestigious journals such as Scientific Reports, Journal of Nutrition and Frontiers in Microbiology.

In The Last Decade

H.M.J. van Hees

26 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H.M.J. van Hees Netherlands 11 243 189 76 44 43 28 353
César Augusto Pospissil Garbossa Brazil 14 272 1.1× 180 1.0× 65 0.9× 43 1.0× 61 1.4× 68 419
Paulo Henrique Reis Furtado Campos Brazil 11 352 1.4× 194 1.0× 42 0.6× 21 0.5× 40 0.9× 44 469
Alysson Saraiva Brazil 14 336 1.4× 152 0.8× 69 0.9× 38 0.9× 29 0.7× 75 491
Veronika Halas Hungary 11 355 1.5× 81 0.4× 75 1.0× 69 1.6× 56 1.3× 39 488
Cuilan Zhu Canada 12 196 0.8× 75 0.4× 78 1.0× 43 1.0× 24 0.6× 21 394
M.S. Gilbert Netherlands 10 169 0.7× 101 0.5× 101 1.3× 69 1.6× 102 2.4× 26 378
H.M.G. van Beers‐Schreurs Netherlands 6 338 1.4× 257 1.4× 58 0.8× 26 0.6× 43 1.0× 14 433
Saymore Petros Ndou Canada 12 315 1.3× 110 0.6× 73 1.0× 60 1.4× 70 1.6× 28 463
C. Farmer Canada 6 290 1.2× 280 1.5× 39 0.5× 19 0.4× 101 2.3× 7 400
D.L. Turpin Australia 8 258 1.1× 152 0.8× 117 1.5× 60 1.4× 22 0.5× 15 389

Countries citing papers authored by H.M.J. van Hees

Since Specialization
Citations

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

Fields of papers citing papers by H.M.J. van Hees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.M.J. van Hees. 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 H.M.J. van Hees. The network helps show where H.M.J. van Hees may publish in the future.

Co-authorship network of co-authors of H.M.J. van Hees

This figure shows the co-authorship network connecting the top 25 collaborators of H.M.J. van Hees. A scholar is included among the top collaborators of H.M.J. van Hees 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 H.M.J. van Hees. H.M.J. van Hees 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.
Hulshof, T., et al.. (2025). Grass hay mixed-in creep feed or separately-fed differentially affects digestive development in pre- and post-weaning piglets. Journal of Animal Science and Biotechnology. 16(1). 92–92. 1 indexed citations
3.
Schokker, Dirkjan, Alex Bossers, Janneke G. Allaart, et al.. (2025). Neonatal and maternal dietary interventions driving microbiota and functionality in piglet gut compartments. Scientific Reports. 15(1). 6771–6771.
4.
Martín–Orúe, Susana M., et al.. (2025). Impact of initial postweaning feed intake on weanling piglet metabolism, gut health, and immunity. Journal of Animal Science. 103. 1 indexed citations
5.
Cools, An, H.M.J. van Hees, Koen Chiers, et al.. (2024). Getting clues from nature: the impact of grass hay on suckling piglets’ gastrointestinal growth and colonic microbiota. Frontiers in Cellular and Infection Microbiology. 13. 1341147–1341147. 3 indexed citations
6.
Hulshof, T., J.W. Resink, & H.M.J. van Hees. (2024). Impact of particle size of cereals and soyabean meal on the intestinal development of weanling pigs and growth performance after an enteric challenge with F4‐positive enterotoxigenic E. coli. Journal of Animal Physiology and Animal Nutrition. 108(6). 1771–1785. 1 indexed citations
7.
Hulshof, T., et al.. (2023). 47. Gastrointestinal development and nutrient digestion are affected by the pre-weaning diet. Animal - science proceedings. 14(6). 767–768. 1 indexed citations
8.
Vries, Hugo de, Christine A. Jansen, Victor P. M. G. Rutten, et al.. (2022). Effects of Escherichia coli Nissle 1917 on the Porcine Gut Microbiota, Intestinal Epithelium and Immune System in Early Life. Frontiers in Microbiology. 13. 842437–842437. 16 indexed citations
9.
Hees, H.M.J. van, Koen Chiers, L.A. den Hartog, et al.. (2022). Supplementing oat hulls to the diet of suckling piglets altered their intestinal tract and colonic microbiota development. Animal nutrition. 12. 284–296. 4 indexed citations
10.
Hees, H.M.J. van, et al.. (2022). Diet and stomach characteristics of feral piglets (Sus scrofa): Implications for farmed piglets. Journal of Animal Physiology and Animal Nutrition. 107(2). 529–540. 4 indexed citations
11.
Hees, H.M.J. van, Mark Davids, Dominiek Maes, et al.. (2019). Dietary fibre enrichment of supplemental feed modulates the development of the intestinal tract in suckling piglets. Journal of Animal Science and Biotechnology. 10(1). 35 indexed citations
13.
Hees, H.M.J. van, et al.. (2018). Reduced Feed Intake, Rather than Increased Energy Losses, Explains Variation in Growth Rates of Normal-Birth-Weight Piglets. Journal of Nutrition. 148(11). 1794–1803. 12 indexed citations
14.
Clouard, Caroline, et al.. (2017). Short communication: insoluble fibres in supplemental pre-weaning diets affect behaviour of suckling piglets. animal. 12(2). 329–333. 7 indexed citations
15.
Farmer, C., et al.. (2015). Relative prolactin-to-progesterone concentrations around farrowing influence colostrum yield in primiparous sows. Domestic Animal Endocrinology. 53. 35–41. 18 indexed citations
16.
Jansman, A.J.M., M.W.A. Verstegen, L.A. den Hartog, et al.. (2014). Identifying the limitations for growth in low performing piglets from birth until 10 weeks of age. animal. 8(6). 923–930. 16 indexed citations
17.
18.
Kalbe, Claudia, A.J.M. Jansman, M.W.A. Verstegen, et al.. (2013). Predicted high-performing piglets exhibit more and larger skeletal muscle fibers1. Journal of Animal Science. 91(12). 5589–5598. 17 indexed citations
19.
Jansman, A.J.M., M.W.A. Verstegen, A. Awati, et al.. (2012). Analysis of factors to predict piglet body weight at the end of the nursery phase1. Journal of Animal Science. 90(9). 3243–3251. 48 indexed citations
20.
Hees, H.M.J. van, et al.. (2004). Managing feed intake of weaned piglets: interactions between nutrition, ethology and farm management. 9–40. 2 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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