A. Veenendaal

745 total citations
10 papers, 583 citations indexed

About

A. Veenendaal is a scholar working on Genetics, Animal Science and Zoology and Plant Science. According to data from OpenAlex, A. Veenendaal has authored 10 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 3 papers in Animal Science and Zoology and 3 papers in Plant Science. Recurrent topics in A. Veenendaal's work include Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetic and phenotypic traits in livestock (6 papers) and Animal Genetics and Reproduction (3 papers). A. Veenendaal is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetic and phenotypic traits in livestock (6 papers) and Animal Genetics and Reproduction (3 papers). A. Veenendaal collaborates with scholars based in Netherlands and United States. A. Veenendaal's co-authors include Martien A. M. Groenen, Addie Vereijken, H. Bovenhuis, J.J. van der Poel, R.P.M.A. Crooijmans, Maria Siwek, Hans H. Cheng, Danyel Jennen, J.A.M. van Arendonk and J.B.C.H.M. van Kaam and has published in prestigious journals such as BMC Genomics, Poultry Science and Genomics.

In The Last Decade

A. Veenendaal

10 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Veenendaal Netherlands	8	510	265	171	110	15	10	583
Takuro Oikawa Japan	13	452 0.9×	253 1.0×	100 0.6×	30 0.3×	8 0.5×	56	550
Hervé Lagant France	5	378 0.7×	267 1.0×	95 0.6×	66 0.6×	12 0.8×	6	508
Zheya Sheng China	10	241 0.5×	151 0.6×	129 0.8×	123 1.1×	5 0.3×	21	430
P. Beeckmann Germany	8	371 0.7×	82 0.3×	60 0.4×	86 0.8×	10 0.7×	9	427
M. Occidente Italy	8	252 0.5×	91 0.3×	81 0.5×	79 0.7×	29 1.9×	10	362
Gerardo Alves Fernandes Júnior Brazil	16	502 1.0×	186 0.7×	77 0.5×	41 0.4×	18 1.2×	34	586
Takeshi Honda Japan	12	375 0.7×	118 0.4×	67 0.4×	59 0.5×	9 0.6×	38	479
Ana Fabrícia Braga Magalhães Brazil	18	703 1.4×	288 1.1×	93 0.5×	96 0.9×	11 0.7×	41	823
Masood Asadi Fozi Iran	11	289 0.6×	128 0.5×	43 0.3×	58 0.5×	5 0.3×	37	377
A.G. de Vries Netherlands	13	547 1.1×	429 1.6×	122 0.7×	34 0.3×	13 0.9×	25	763

Countries citing papers authored by A. Veenendaal

Since Specialization

Citations

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

Fields of papers citing papers by A. Veenendaal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Veenendaal

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

All Works

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10 of 10 papers shown

Kerstens, Hindrik H. D., R.P.M.A. Crooijmans, A. Veenendaal, et al.. (2009). Large scale single nucleotide polymorphism discovery in unsequenced genomes using second generation high throughput sequencing technology: applied to turkey. BMC Genomics. 10(1). 479–479. 64 indexed citations

Crooijmans, R.P.M.A., Hindrik H. D. Kerstens, Andreia J. Amaral, et al.. (2008). Identification Of Porcine And Turkey SNPs By High Parallel Sequencing On A Solexa Sequencing Platform. Socio-Environmental Systems Modeling. 1 indexed citations

Jennen, Danyel, Addie Vereijken, H. Bovenhuis, et al.. (2004). Detection and Localization of Quantitative Trait Loci Affecting Fatness in Broilers. Poultry Science. 83(3). 295–301. 82 indexed citations

Veenendaal, A., et al.. (2003). Typing Single-Nucleotide Polymorphisms Using a Gel-Based Sequencer: A New Data Analysis Tool and Suggestions for Improved Efficiency. Molecular Biotechnology. 25(3). 283–288. 7 indexed citations

Buitenhuis, Bart, et al.. (2002). Improvement of the comparative map of chicken chromosome 13. Animal Genetics. 33(4). 249–254. 22 indexed citations

Jennen, Danyel, et al.. (2002). A comparative map of chicken chromosome 24 and human chromosome 11. Animal Genetics. 33(3). 205–210. 22 indexed citations

Groenen, Martien A. M., et al.. (1999). Whole genome scan in chickens for quantitative trait loci affecting growth and feed efficiency. Poultry Science. 78(1). 15–23. 124 indexed citations

Groenen, Martien A. M., et al.. (1999). Whole genome scan in chickens for quantitative trait loci affecting carcass traits. Poultry Science. 78(8). 1091–1099. 80 indexed citations

Groenen, Martien A. M., et al.. (1998). A Comprehensive Microsatellite Linkage Map of the Chicken Genome. Genomics. 49(2). 265–274. 100 indexed citations

10.

Kaam, J.B.C.H.M. van, J.A.M. van Arendonk, Martien A. M. Groenen, et al.. (1998). Whole genome scan for quantitative trait loci affecting body weight in chickens using a three generation design. Livestock Production Science. 54(2). 133–150. 81 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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