B.J. Ducro

2.5k total citations
80 papers, 1.8k citations indexed

About

B.J. Ducro is a scholar working on Genetics, Animal Science and Zoology and Equine. According to data from OpenAlex, B.J. Ducro has authored 80 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 28 papers in Animal Science and Zoology and 27 papers in Equine. Recurrent topics in B.J. Ducro's work include Genetic and phenotypic traits in livestock (33 papers), Veterinary Equine Medical Research (27 papers) and Animal Nutrition and Physiology (16 papers). B.J. Ducro is often cited by papers focused on Genetic and phenotypic traits in livestock (33 papers), Veterinary Equine Medical Research (27 papers) and Animal Nutrition and Physiology (16 papers). B.J. Ducro collaborates with scholars based in Netherlands, Belgium and Sweden. B.J. Ducro's co-authors include J.A.M. van Arendonk, Piter Bijma, R.F. Veerkamp, E.F. Knol, Anouk Schurink, H.A. Mulder, H. Bovenhuis, T. van der Lende, E.P.C. Koenen and E.M. van Grevenhof and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and IEEE Access.

In The Last Decade

B.J. Ducro

79 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B.J. Ducro Netherlands 25 822 736 408 404 266 80 1.8k
H. Hamann Germany 26 994 1.2× 562 0.8× 518 1.3× 481 1.2× 460 1.7× 126 2.3k
Dominik Burger Switzerland 19 512 0.6× 174 0.2× 160 0.4× 603 1.5× 397 1.5× 101 1.6k
W.F. Fikse Sweden 27 1.6k 1.9× 554 0.8× 357 0.9× 110 0.3× 707 2.7× 125 2.0k
H.C.M. Heuven Netherlands 21 467 0.6× 150 0.2× 260 0.6× 118 0.3× 135 0.5× 59 982
Vincent Gerber Switzerland 21 167 0.2× 176 0.2× 174 0.4× 832 2.1× 259 1.0× 69 1.4k
E.N. Noordhuizen-Stassen Netherlands 22 988 1.2× 1.1k 1.5× 1.4k 3.4× 121 0.3× 1.3k 5.0× 49 2.8k
B. H. Thorp United Kingdom 27 311 0.4× 884 1.2× 266 0.7× 155 0.4× 73 0.3× 66 1.9k
G.H. Wentink Netherlands 24 310 0.4× 155 0.2× 273 0.7× 86 0.2× 896 3.4× 61 1.6k
Ernest Bailey United States 25 776 0.9× 167 0.2× 46 0.1× 280 0.7× 206 0.8× 93 1.7k
Patty S.D. Weber United States 20 178 0.2× 415 0.6× 353 0.9× 218 0.5× 600 2.3× 41 1.3k

Countries citing papers authored by B.J. Ducro

Since Specialization
Citations

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

Fields of papers citing papers by B.J. Ducro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B.J. Ducro

This figure shows the co-authorship network connecting the top 25 collaborators of B.J. Ducro. A scholar is included among the top collaborators of B.J. Ducro 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 B.J. Ducro. B.J. Ducro 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.
Shi, Rui, A. van der Linden, S.J. Oosting, Yachun Wang, & B.J. Ducro. (2025). Derivation of Economic Values for Breeding Objective Traits of Chinese Holstein Dairy Cows Using a Bio‐Economic Model. Journal of Animal Breeding and Genetics. 142(5). 513–527. 2 indexed citations
2.
Bonfatti, V., Rui Shi, A. van der Linden, et al.. (2024). Prediction of likelihood of conception in dairy cows using milk mid-infrared spectra collected before the first insemination and machine learning algorithms. Journal of Dairy Science. 107(11). 9415–9425. 2 indexed citations
3.
Ouweltjes, W., et al.. (2021). A data-driven prediction of lifetime resilience of dairy cows using commercial sensor data collected during first lactation. Journal of Dairy Science. 104(11). 11759–11769. 15 indexed citations
4.
Veerkamp, R.F., et al.. (2019). Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle. Journal of Dairy Science. 102(10). 9409–9421. 53 indexed citations
5.
Veerkamp, R.F., et al.. (2019). Predicting survival in dairy cattle by combining genomic breeding values and phenotypic information. Journal of Dairy Science. 103(1). 556–571. 11 indexed citations
6.
Schurink, Anouk, Vinicius Henrique da Silva, Brandon D. Velie, et al.. (2018). Copy number variations in Friesian horses and genetic risk factors for insect bite hypersensitivity. BMC Genetics. 19(1). 49–49. 24 indexed citations
7.
Azzopardi, George, et al.. (2018). Assigning pigs to uniform target weight groups using machine learning. Socio-Environmental Systems Modeling. 112–112. 1 indexed citations
8.
Schurink, Anouk, S. Eriksson, Mirte Bosse, et al.. (2018). Genetic diversity within and relationships among Dutch horse populations. Proceedings of the World Congress on Genetics Applied to Livestock Production. 268. 1 indexed citations
9.
Leegwater, Peter A. J., B.J. Ducro, Frank G. van Steenbeek, et al.. (2016). Dwarfism with joint laxity in Friesian horses is associated with a splice site mutation in B4GALT7. BMC Genomics. 17(1). 29 indexed citations
10.
Ducro, B.J., et al.. (2016). Monitoring training response in young Friesian dressage horses using two different standardised exercise tests (SETs). BMC Veterinary Research. 13(1). 49–49. 9 indexed citations
11.
Eriksson, S., Anouk Schurink, Lisa Andersson, et al.. (2015). Genome-Wide Association Study of Insect Bite Hypersensitivity in Swedish-Born Icelandic Horses. Journal of Heredity. 106(4). 366–374. 16 indexed citations
12.
Schurink, Anouk, et al.. (2014). Genome-Wide Association Study Leads to a DNA Assay for Dwarfism in the Friesian Horse Population. Socio-Environmental Systems Modeling. 2 indexed citations
13.
Ducro, B.J., et al.. (2014). Genetic diversity and measures to reduce inbreeding in Friesian Horses. Socio-Environmental Systems Modeling. 797–797. 6 indexed citations
14.
Schurink, Anouk, B.J. Ducro, H.C.M. Heuven, & J.A.M. van Arendonk. (2011). Genetic parameters of insect bite hypersensitivity in Dutch Friesian broodmares1. Journal of Animal Science. 89(5). 1286–1293. 21 indexed citations
15.
Grevenhof, E.M. van, et al.. (2008). Prevalence of various radiographic manifestations of osteochondrosis and their correlations between and within joints in Dutch Warmblood horses. Equine Veterinary Journal. 41(1). 11–16. 54 indexed citations
16.
Boom, Robin van den, B.J. Ducro, & M M Sloet van Oldruitenborgh-Oosterbaan. (2008). Identification of factors associated with the development of insect bite hypersensitivity in horses in The Netherlands.. PubMed. 133(13). 554–9. 11 indexed citations
17.
Pakdel, A., Piter Bijma, B.J. Ducro, & H. Bovenhuis. (2005). Selection strategies for body weight and reduced ascites susceptibility in broilers. Poultry Science. 84(4). 528–535. 30 indexed citations
18.
Hooijer, G.A., et al.. (2001). Genetic Parameters for Cystic Ovarian Disease in Dutch Black and White Dairy Cattle. Journal of Dairy Science. 84(1). 286–291. 45 indexed citations
19.
Greef, K.H. de, et al.. (2001). Evaluation of Between-Line Variation for Within-Line Selection Against Ascites in Broilers. Poultry Science. 80(1). 13–21. 13 indexed citations
20.
Ducro, B.J., et al.. (1993). Resistance to Marek's disease associated with Bsuperscript 21-like haplotypes. Archiv für Geflügelkunde. 57(2). 73–76. 5 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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