H. Berends

1.1k total citations
39 papers, 828 citations indexed

About

H. Berends is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology. According to data from OpenAlex, H. Berends has authored 39 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Agronomy and Crop Science, 22 papers in Small Animals and 13 papers in Animal Science and Zoology. Recurrent topics in H. Berends's work include Ruminant Nutrition and Digestive Physiology (19 papers), Animal health and immunology (19 papers) and Reproductive Physiology in Livestock (12 papers). H. Berends is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (19 papers), Animal health and immunology (19 papers) and Reproductive Physiology in Livestock (12 papers). H. Berends collaborates with scholars based in Netherlands, Canada and United States. H. Berends's co-authors include W.J.J. Gerrits, J. Martín‐Tereso, M.A. Steele, L.N. Leal, C.G. van Reenen, J.N. Wilms, E.A.M. Bokkers, Sarah J. Meale, Le Luo Guan and J.J.G.C. van den Borne and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Nutrition.

In The Last Decade

H. Berends

39 papers receiving 807 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. Berends Netherlands 16 558 423 276 214 108 39 828
Carla Maris Machado Bittar Brazil 15 507 0.9× 297 0.7× 235 0.9× 128 0.6× 77 0.7× 108 783
Z.M. Kowalski Poland 16 836 1.5× 289 0.7× 281 1.0× 289 1.4× 123 1.1× 67 1.1k
N.L. Whitehouse United States 18 1.0k 1.8× 231 0.5× 204 0.7× 355 1.7× 212 2.0× 37 1.3k
F.X. Suárez-Mena United States 19 683 1.2× 507 1.2× 308 1.1× 168 0.8× 63 0.6× 50 885
Philipe Moriel United States 21 1.0k 1.8× 302 0.7× 479 1.7× 377 1.8× 126 1.2× 131 1.4k
Rodrigo S Marques United States 21 803 1.4× 345 0.8× 506 1.8× 323 1.5× 90 0.8× 86 1.2k
E.A. Horst United States 20 782 1.4× 415 1.0× 734 2.7× 251 1.2× 76 0.7× 56 1.3k
M. S. Brown United States 15 491 0.9× 164 0.4× 286 1.0× 212 1.0× 23 0.2× 41 847
S.L. Li China 12 306 0.5× 172 0.4× 140 0.5× 91 0.4× 64 0.6× 16 519
J.M. Aldrich United States 25 1.3k 2.2× 780 1.8× 525 1.9× 267 1.2× 170 1.6× 54 1.5k

Countries citing papers authored by H. Berends

Since Specialization
Citations

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

Fields of papers citing papers by H. Berends

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Berends

This figure shows the co-authorship network connecting the top 25 collaborators of H. Berends. A scholar is included among the top collaborators of H. Berends 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. Berends. H. Berends 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.
Leal, L.N., et al.. (2024). Incremental supply of fat, lactose, or protein influences the diurnal pattern of heat production and substrate oxidation in preweaning calves. Journal of Dairy Science. 107(9). 6866–6877. 2 indexed citations
2.
Leal, L.N., et al.. (2024). Responses to incremental nutrient supply on energy and protein metabolism in preweaning dairy calves. Journal of Dairy Science. 107(8). 5616–5625. 5 indexed citations
3.
Berends, H., H. van Laar, L.N. Leal, W.J.J. Gerrits, & J. Martín‐Tereso. (2020). Effects of exchanging lactose for fat in milk replacer on ad libitum feed intake and growth performance in dairy calves. Journal of Dairy Science. 103(5). 4275–4287. 27 indexed citations
4.
Wilms, J.N., H. Berends, L.N. Leal, & J. Martín‐Tereso. (2020). Determining the nutritional boundaries for replacing lactose with glucose in milk replacers for calves fed twice daily. Journal of Dairy Science. 103(8). 7018–7027. 13 indexed citations
5.
Yohe, T.T., H. Berends, L.N. Leal, et al.. (2020). Metabolic and performance responses to the replacement of lactose by fat in milk replacer formulations for dairy calves. animal. 15(1). 100031–100031. 10 indexed citations
6.
Leal, L.N., Josué Moura Romão, Guido Hooiveld, et al.. (2019). Preweaning nutrient supply alters mammary gland transcriptome expression relating to morphology, lipid accumulation, DNA synthesis, and RNA expression in Holstein heifer calves. Journal of Dairy Science. 102(3). 2618–2630. 7 indexed citations
7.
8.
Wilms, J.N., H. Berends, & J. Martín‐Tereso. (2018). Hypertonic milk replacers increase gastrointestinal permeability in healthy dairy calves. Journal of Dairy Science. 102(2). 1237–1246. 37 indexed citations
9.
Leal, L.N., Josué Moura Romão, Guido Hooiveld, et al.. (2018). Nutrient supply alters transcriptome regulation in adipose tissue of pre-weaning Holstein calves. PLoS ONE. 13(8). e0201929–e0201929. 10 indexed citations
10.
Meale, Sarah J., et al.. (2017). From pre- to postweaning: Transformation of the young calf's gastrointestinal tract. Journal of Dairy Science. 100(7). 5984–5995. 109 indexed citations
11.
12.
Webb, Laura E., C.G. van Reenen, B. Engel, et al.. (2016). Understanding oral stereotypies in calves: alternative strategies, hypothalamic–pituitary–adrenal axis (re)activity and gene by environment interactions. animal. 11(6). 1054–1062. 10 indexed citations
13.
Stahel, Priska, et al.. (2016). A Mechanistic Model of Intermittent Gastric Emptying and Glucose-Insulin Dynamics following a Meal Containing Milk Components. PLoS ONE. 11(6). e0156443–e0156443. 9 indexed citations
14.
Webb, Laura E., C.G. van Reenen, H. Berends, et al.. (2015). The role of solid feed amount and composition and of milk replacer supply in veal calf welfare. Journal of Dairy Science. 98(8). 5467–5481. 26 indexed citations
15.
Berends, H., J.J.G.C. van den Borne, H. Mollenhorst, et al.. (2014). Utilization of roughages and concentrates relative to that of milk replacer increases strongly with age in veal calves. Journal of Dairy Science. 97(10). 6475–6484. 17 indexed citations
16.
Berends, H., W.J.J. Gerrits, J. France, et al.. (2014). Evaluation of the SF6 tracer technique for estimating methane emission rates with reference to dairy cows using a mechanistic model. Journal of Theoretical Biology. 353. 1–8. 6 indexed citations
17.
Gilbert, M.S., et al.. (2014). A titration approach to identify the capacity for starch digestion in milk-fed calves. animal. 9(2). 249–257. 9 indexed citations
18.
Labussière, Étienne, H. Berends, M.S. Gilbert, J.J.G.C. van den Borne, & W.J.J. Gerrits. (2014). Estimation of milk leakage into the rumen of milk-fed calves through an indirect and repeatable method. animal. 8(10). 1643–1652. 17 indexed citations
19.
Berends, H., C.G. van Reenen, Norbert Stockhofe-Zurwieden, & W.J.J. Gerrits. (2012). Effects of early rumen development and solid feed composition on growth performance and abomasal health in veal calves. Journal of Dairy Science. 95(6). 3190–3199. 32 indexed citations
20.
Berends, H., J.J.G.C. van den Borne, S.J.J. Alferink, et al.. (2012). Low-protein solid feed improves the utilization of milk replacer for protein gain in veal calves. Journal of Dairy Science. 95(11). 6654–6664. 14 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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