D. Cavero

1.0k total citations
39 papers, 680 citations indexed

About

D. Cavero is a scholar working on Animal Science and Zoology, Genetics and Small Animals. According to data from OpenAlex, D. Cavero has authored 39 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Animal Science and Zoology, 17 papers in Genetics and 8 papers in Small Animals. Recurrent topics in D. Cavero's work include Animal Nutrition and Physiology (26 papers), Genetic and phenotypic traits in livestock (15 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). D. Cavero is often cited by papers focused on Animal Nutrition and Physiology (26 papers), Genetic and phenotypic traits in livestock (15 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). D. Cavero collaborates with scholars based in Germany, Spain and United States. D. Cavero's co-authors include J. Krieter, M. Schmutz, Wiebke Icken, K.-H. Tölle, Rudolf Preisinger, Henner Simianer, E. Stamer, Malena Erbe, R. Preisinger and Guiyan Ni and has published in prestigious journals such as Genetics, BMC Bioinformatics and BMC Genomics.

In The Last Decade

D. Cavero

39 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Cavero Germany	15	324	280	158	156	102	39	680
Jeremy Howard United States	16	210 0.6×	499 1.8×	168 1.1×	113 0.7×	72 0.7×	39	847
K.-H. Tölle Germany	13	237 0.7×	182 0.7×	214 1.4×	241 1.5×	78 0.8×	25	457
K.A. Thompson-Crispi Canada	13	159 0.5×	224 0.8×	402 2.5×	172 1.1×	85 0.8×	17	637
Santiago Avendaño United Kingdom	22	658 2.0×	746 2.7×	59 0.4×	167 1.1×	84 0.8×	48	1.3k
Yves Le Frileux France	8	181 0.6×	129 0.5×	248 1.6×	179 1.1×	177 1.7×	8	556
D. N. Rank India	13	285 0.9×	199 0.7×	250 1.6×	53 0.3×	234 2.3×	70	813
G. A. A. Albers Netherlands	14	356 1.1×	159 0.6×	76 0.5×	433 2.8×	45 0.4×	25	746
Julie L. Fitzpatrick United Kingdom	8	92 0.3×	118 0.4×	193 1.2×	90 0.6×	115 1.1×	10	545
Mauricio Valencia-Posadas Mexico	14	138 0.4×	323 1.2×	347 2.2×	39 0.3×	112 1.1×	38	527
S.J. Lamont United States	20	697 2.2×	335 1.2×	71 0.4×	67 0.4×	140 1.4×	35	1.2k

Countries citing papers authored by D. Cavero

Since Specialization

Citations

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

Fields of papers citing papers by D. Cavero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Cavero

This figure shows the co-authorship network connecting the top 25 collaborators of D. Cavero. A scholar is included among the top collaborators of D. Cavero 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 D. Cavero. D. Cavero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Angel, R., et al.. (2025). Intestinal distribution of transcripts regulating calcium and phosphorus uptake in commercial laying hens. Poultry Science. 104(10). 105533–105533. 1 indexed citations

Angel, R., et al.. (2024). Physiological changes in the regulation of calcium and phosphorus utilization that occur after the onset of egg production in commercial laying hens. Frontiers in Physiology. 15. 7 indexed citations

Angel, R., et al.. (2023). Circadian regulation of calcium and phosphorus homeostasis during the oviposition cycle in laying hens. Poultry Science. 103(2). 103209–103209. 14 indexed citations

Cavero, D., et al.. (2023). Black Spot Identification and Road Accident Prediction Model on Cebu South Coastal Road (CSCR). IOP Conference Series Earth and Environmental Science. 1184(1). 12022–12022. 1 indexed citations

Pook, Torsten, Manfred Mayer, Johannes Geibel, et al.. (2019). Improving Imputation Quality in BEAGLE for Crop and Livestock Data. G3 Genes Genomes Genetics. 10(1). 177–188. 49 indexed citations

Cavero, D., et al.. (2019). Phasing quality assessment in a brown layer population through family- and population-based software. BMC Genetics. 20(1). 57–57. 3 indexed citations

Kruppa, Jochen, et al.. (2018). A Simple Test Identifies Selection on Complex Traits. Genetics. 209(1). 321–333. 14 indexed citations

Cavero, D., et al.. (2018). Genetic approach to select against embryo mortality caused by Enterococcus faecalis infection in laying hens. Poultry Science. 97(12). 4177–4186. 3 indexed citations

Fischer, Daniel, Mervi Honkatukia, Maria Tuiskula-Haavisto, et al.. (2017). Subgroup detection in genotype data using invariant coordinate selection. BMC Bioinformatics. 18(1). 173–173. 9 indexed citations

10.

Icken, Wiebke, et al.. (2014). Genetic parameters of egg quality traits on different pedigree layers with special focus on dynamic stiffness. Poultry Science. 93(10). 2457–2463. 30 indexed citations

11.

Icken, Wiebke, Christian Looft, K. Schellander, et al.. (2014). Implications of genetic selection on yolk proportion on the dry matter content of eggs in a White Leghorn population. British Poultry Science. 55(3). 291–297. 5 indexed citations

12.

Icken, Wiebke, Stefan Thurner, Anna Kaiser, et al.. (2013). Higher precision level at individual laying performance tests in noncage housing systems. Poultry Science. 92(9). 2276–2282. 18 indexed citations

13.

Sharifi, Ahmad, et al.. (2013). Efficiency of genomic selection in an established commercial layer breeding program. Genetics Selection Evolution. 45(1). 29–29. 28 indexed citations

14.

Icken, Wiebke, D. Cavero, Stefan Thurner, et al.. (2011). Relationship between time spent in the winter garden and shell colour in brown egg stock. Archiv für Geflügelkunde. 75(3). 145–150. 2 indexed citations

15.

Honkatukia, Mervi, Maria Tuiskula-Haavisto, Virpi Ahola, et al.. (2011). Mapping of QTL affecting incidence of blood and meat inclusions in egg layers. BMC Genetics. 12(1). 55–55. 9 indexed citations

16.

Cavero, D., M. Schmutz, & R. Preisinger. (2010). Genetic evaluation of pure-line and cross-line performance in layers. 6 indexed citations

17.

Icken, Wiebke, Stefan Thurner, D. Cavero, et al.. (2009). Analysis of the nesting behaviour from laying hens in a floor system.. Archiv für Geflügelkunde. 73(2). 102–109. 4 indexed citations

18.

Cavero, D., M. Schmutz, Hans-C. Philipp, & Rudolf Preisinger. (2009). Breeding to reduce susceptibility to Escherichia coli in layers. Poultry Science. 88(10). 2063–2068. 28 indexed citations

19.

Icken, Wiebke, D. Cavero, M. Schmutz, et al.. (2008). Analysis of the free range behaviour of laying hens and the genetic and phenotypic relationships with laying performance. British Poultry Science. 49(5). 533–541. 19 indexed citations

20.

Krieter, J., et al.. (2007). Mastitis detection in dairy cows using Neural Networks. 123–126. 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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