A. Van de Weghe

1.2k total citations
45 papers, 364 citations indexed

About

A. Van de Weghe is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, A. Van de Weghe has authored 45 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 14 papers in Animal Science and Zoology and 8 papers in Molecular Biology. Recurrent topics in A. Van de Weghe's work include Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Animal Nutrition and Physiology (9 papers). A. Van de Weghe is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Animal Nutrition and Physiology (9 papers). A. Van de Weghe collaborates with scholars based in Belgium, France and Czechia. A. Van de Weghe's co-authors include Y. Bouquet, Alex Van Zeveren, Wouter Coppieters, Luc Peelman, Ann Depicker, M. Vaiman, Claudine Geffrotin, Christine Renard, P. Chardon and Thomas A. Spies and has published in prestigious journals such as Genomics, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology and Mammalian Genome.

In The Last Decade

A. Van de Weghe

43 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Van de Weghe Belgium 10 222 119 59 54 43 45 364
Kohei Suzuki Japan 10 153 0.7× 140 1.2× 98 1.7× 33 0.6× 44 1.0× 22 347
F. K. Kristjansson India 9 152 0.7× 113 0.9× 24 0.4× 66 1.2× 31 0.7× 15 360
T. E. Broad New Zealand 12 201 0.9× 242 2.0× 60 1.0× 23 0.4× 98 2.3× 29 452
Beena Neelam United States 9 101 0.5× 171 1.4× 95 1.6× 12 0.2× 53 1.2× 10 368
Le Ann Blomberg United States 15 316 1.4× 404 3.4× 80 1.4× 57 1.1× 24 0.6× 27 664
Stacey N. Meyers United States 7 187 0.8× 152 1.3× 16 0.3× 49 0.9× 46 1.1× 10 300
S. Shimanuki Japan 7 354 1.6× 145 1.2× 31 0.5× 57 1.1× 93 2.2× 12 443
H.A. Ansari New Zealand 12 363 1.6× 164 1.4× 23 0.4× 18 0.3× 198 4.6× 36 512
Hallie M. Krider United States 11 133 0.6× 253 2.1× 38 0.6× 26 0.5× 152 3.5× 22 412
R. A. McFEELY United States 12 236 1.1× 79 0.7× 37 0.6× 9 0.2× 96 2.2× 21 356

Countries citing papers authored by A. Van de Weghe

Since Specialization
Citations

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

Fields of papers citing papers by A. Van de Weghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Van de Weghe

This figure shows the co-authorship network connecting the top 25 collaborators of A. Van de Weghe. A scholar is included among the top collaborators of A. Van de Weghe 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. Van de Weghe. A. Van de Weghe 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.
Juneja, Rajiv, A. Van de Weghe, & B. Gahne. (2009). A new genetically determined plasma protein polymorphism in the laboratory rabbit. Hereditas. 94(2). 245–248. 2 indexed citations
2.
Juneja, Rajiv, A. Van de Weghe, & B. Gahne. (2008). Genetic polymorphism of serum postalbumin (Po) and pretransferrin (Prt) in the laboratory rabbit. Hereditas. 100(1). 11–15.
3.
Weghe, A. Van de, et al.. (1996). Two microsatellites on pig chromosome 7. Animal Genetics. 27(6). 439–439. 1 indexed citations
4.
Peelman, Luc, P. Chardon, M. Vaiman, et al.. (1996). A detailed physical map of the porcine major histocompatibility complex (MHC) class III region: Comparison with human and mouse MHC class III regions. Mammalian Genome. 7(5). 363–367. 28 indexed citations
5.
Stratil, A., Milan Pavlı́k, Wouter Coppieters, et al.. (1995). Pig plasma α-protease inhibitors PI2, PI3 and PI4 are members of the antichymotrypsin family. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 111(1). 53–60. 10 indexed citations
6.
Weghe, A. Van de, et al.. (1994). Dinucleotide repeat polymorphism at the bovine MM12E6 and MM8D3 loci. Animal Genetics. 25(5). 368–368. 25 indexed citations
7.
Haley, Chris, Merete Fredholm, Wouter Coppieters, et al.. (1993). Linkage mapping in the domestic pig (Sus scrofa).. Ghent University Academic Bibliography (Ghent University). 7 indexed citations
8.
Coppieters, Wouter, et al.. (1993). Rechtstreekse genotypering van stress(on)gevoeligheid bij varkens met behulp van DNA onderzoek.. Ghent University Academic Bibliography (Ghent University). 8 indexed citations
9.
Coppieters, Wouter, A. Van de Weghe, Luc Peelman, et al.. (1993). Characterization of porcine polymorphic microsatellite loci. Animal Genetics. 24(3). 163–170. 38 indexed citations
10.
Peelman, Luc, et al.. (1992). Cloning, characterization and mapping of swine lymphocyte antigen class III genes. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
11.
Bouquet, Y., et al.. (1990). Stress susceptibility in Belgian Landrace pigs: zootechnical implications and blood marker determinations as a tool for a more efficient selective reduction.. Vlaams Diergeneeskundig Tijdschrift. 59(5). 169–174. 1 indexed citations
12.
Zeveren, Alex Van, Y. Bouquet, A. Van de Weghe, & Wouter Coppieters. (1990). A genetic blood marker study on 4 pig breeds. Journal of Animal Breeding and Genetics. 107(1-6). 104–112. 7 indexed citations
13.
Renard, Christine, B. Kristensen, Y. Bouquet, et al.. (1990). Swine lymphocyte alloantigens (SLA) class I serology and genetics in Belgian Landrace and Pietrain breeds. Animal Genetics. 21(1). 59–68. 1 indexed citations
14.
Haley, Chris, Alan Archibald, Leif Andersson, et al.. (1990). Proceedings of 4th World Congress on Genetics Applied to Livestock Production XIII. 4 indexed citations
15.
Coppieters, Wouter, A. Van de Weghe, Ann Depicker, Y. Bouquet, & Alex Van Zeveren. (1990). A hypervariable pig DNA fragment. Animal Genetics. 21(1). 29–38. 23 indexed citations
16.
Zeveren, Alex Van, Y. Bouquet, A. Van de Weghe, & Wouter Coppieters. (1990). A genetic blood marker study on 4 pig breeds. Journal of Animal Breeding and Genetics. 107(1-6). 113–118. 3 indexed citations
17.
Weghe, A. Van de, et al.. (1988). A third variant of glucose phosphate isomerase in pigs. Animal Genetics. 19(1). 55–58. 5 indexed citations
18.
Weghe, A. Van de, Wouter Coppieters, Guy Bauw, Joël Vandekerckhove, & Y. Bouquet. (1988). The homology between the serum proteins Po2 in pig, Xk in horse and α1B-glycoprotein in human. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 90(4). 751–756. 2 indexed citations
19.
Weghe, A. Van de, et al.. (1987). The serum protease inhibitor linkage group in Belgian pig breeds. Animal Genetics. 18(1). 63–69. 7 indexed citations
20.
Kaminski, Marie, et al.. (1975). Marqueurs génétiques sanguins chez les chevaux de course. Genetics Selection Evolution. 7(4). 339–339. 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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