A.G. de Vries

1.0k total citations
25 papers, 763 citations indexed

About

A.G. de Vries is a scholar working on Genetics, Animal Science and Zoology and Small Animals. According to data from OpenAlex, A.G. de Vries has authored 25 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 13 papers in Animal Science and Zoology and 9 papers in Small Animals. Recurrent topics in A.G. de Vries's work include Genetic and phenotypic traits in livestock (20 papers), Animal Nutrition and Physiology (12 papers) and Animal Behavior and Welfare Studies (9 papers). A.G. de Vries is often cited by papers focused on Genetic and phenotypic traits in livestock (20 papers), Animal Nutrition and Physiology (12 papers) and Animal Behavior and Welfare Studies (9 papers). A.G. de Vries collaborates with scholars based in Netherlands, Australia and Denmark. A.G. de Vries's co-authors include L. C. M. de Haer, J.W.M. Merks, Tiha M. Long, Pranay Wal, G. Eikelenboom, E. Kanis, A. Sosnicki, Graham Plastow, Franz R. Seefried and C. Schrooten and has published in prestigious journals such as Food Chemistry, Theoretical and Applied Genetics and Journal of Animal Science.

In The Last Decade

A.G. de Vries

25 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A.G. de Vries Netherlands	13	547	429	273	122	88	25	763
D. M. Ferguson Australia	11	379 0.7×	458 1.1×	107 0.4×	49 0.4×	132 1.5×	26	674
Hervé Lagant France	5	378 0.7×	267 0.6×	91 0.3×	95 0.8×	17 0.2×	6	508
Ewa Sell‐Kubiak Poland	12	282 0.5×	211 0.5×	162 0.6×	38 0.3×	76 0.9×	38	471
D. W. Moser United States	10	411 0.8×	242 0.6×	54 0.2×	89 0.7×	134 1.5×	28	499
A.B. Samoré Italy	17	561 1.0×	238 0.6×	87 0.3×	67 0.5×	347 3.9×	44	672
Mariana Piatto Berton Brazil	12	359 0.7×	146 0.3×	64 0.2×	79 0.6×	97 1.1×	33	428
Vicente Eliezer Vega Murillo Mexico	11	209 0.4×	142 0.3×	61 0.2×	77 0.6×	89 1.0×	56	350
MJ Carrick Australia	9	437 0.8×	196 0.5×	82 0.3×	66 0.5×	266 3.0×	17	516
Tae-Jeong Choi South Korea	12	466 0.9×	245 0.6×	59 0.2×	50 0.4×	139 1.6×	73	583
Romain Saintilan France	10	249 0.5×	153 0.4×	48 0.2×	24 0.2×	62 0.7×	18	339

Countries citing papers authored by A.G. de Vries

Since Specialization

Citations

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

Fields of papers citing papers by A.G. de Vries

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.G. de Vries. 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 A.G. de Vries. The network helps show where A.G. de Vries may publish in the future.

Co-authorship network of co-authors of A.G. de Vries

This figure shows the co-authorship network connecting the top 25 collaborators of A.G. de Vries. A scholar is included among the top collaborators of A.G. de Vries 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 A.G. de Vries. A.G. de Vries 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

Lund, Mogens Sandø, A.G. de Vries, Tom Druet, et al.. (2011). A common reference population from four European Holstein populations increases reliability of genomic predictions. Genetics Selection Evolution. 43(1). 43–43. 194 indexed citations

Vries, A.G. de, et al.. (1998). The role of major genes and DNA technology in selection for meat quality in pigs. Meat Science. 49. S245–S255. 29 indexed citations

Napel, J. ten, et al.. (1995). Genetics of the interval from weaning to estrus in first-litter sows: distribution of data, direct response of selection, and heritability1. Journal of Animal Science. 73(8). 2193–2203. 35 indexed citations

Wal, Pranay, A.G. de Vries, & G. Eikelenboom. (1995). Predictive value of slaughterhouse measurements of ultimate pork quality in seven halothane negative Yorkshire populations. Meat Science. 40(2). 183–191. 21 indexed citations

Napel, J. ten, B. Kemp, P. Luiting, & A.G. de Vries. (1995). A biological approach to examine genetic variation in weaning-to-oestrus interval in first-litter sows. Livestock Production Science. 41(2). 81–93. 20 indexed citations

Napel, J. ten & A.G. de Vries. (1994). Effects of selection for a short weaning-to-oestrus interval on distribution of data.. Proceedings of the World Congress on Genetics applied to Livestock Production. 319–322. 1 indexed citations

Vries, A.G. de & E. Kanis. (1994). Swine breeding goals, short- and long-term considerations.. Socio-Environmental Systems Modeling. 390–397. 3 indexed citations

Vries, A.G. de, Richard J. Kerr, Bruce Tier, Tiha M. Long, & T.H.E. Meuwissen. (1994). Gametic imprinting effects on rate and composition of pig growth. Theoretical and Applied Genetics. 88(8). 1037–1042. 42 indexed citations

Vries, A.G. de & E. Kanis. (1994). Selection for efficiency of lean tissue deposition in pigs.. Socio-Environmental Systems Modeling. 23–41. 8 indexed citations

10.

Haer, L. C. M. de & A.G. de Vries. (1993). Feed intake patterns of and feed digestibility in growing pigs housed individually or in groups. Livestock Production Science. 33(3-4). 277–292. 73 indexed citations

11.

Haer, L. C. M. de & A.G. de Vries. (1993). Effects of genotype and sex on the feed intake pattern of group housed growing pigs. Livestock Production Science. 36(3). 223–232. 57 indexed citations

12.

Werf, J. H. J. van der, J.A.M. van Arendonk, & A.G. de Vries. (1992). Improving selection of pigs using correlated characters.. Socio-Environmental Systems Modeling. 12 indexed citations

13.

Brascamp, E.W. & A.G. de Vries. (1992). Defining the breeding goals for pig improvement.. Socio-Environmental Systems Modeling. 13. 2 indexed citations

14.

Kanis, E. & A.G. de Vries. (1992). Optimization of selection for food intake capacity in pigs. Animal Science. 55(2). 247–255. 8 indexed citations

15.

Vries, A.G. de & Daniel Sørensen. (1990). Optimization of present pig breeding programmes.. 395–404. 2 indexed citations

16.

Vries, A.G. de, Hanno Steen, & Gert de Roo. (1990). Effects of family size in selection and testing in a closed dam line of pigs. Livestock Production Science. 24(1). 47–63. 6 indexed citations

17.

Vries, A.G. de, Hanno Steen, & Gert de Roo. (1990). Multi-stage selection in a closed dam line of pigs. Livestock Production Science. 24(2). 161–180. 3 indexed citations

18.

Vries, A.G. de. (1989). A method to incorporate competitive position in the breeding goal. Animal Production. 48(1). 221–227. 18 indexed citations

19.

Vries, A.G. de, Hanno Steen, & Gert de Roo. (1989). Optimal population size and sow/boar ratio in a closed dam line of pigs. Livestock Production Science. 22(3-4). 305–324. 5 indexed citations

20.

Vries, A.G. de. (1989). A model to estimate economic values of traits in pig breeding. Livestock Production Science. 21(1). 49–66. 64 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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