E.F. Knol

5.4k total citations
147 papers, 3.8k citations indexed

About

E.F. Knol is a scholar working on Genetics, Animal Science and Zoology and Small Animals. According to data from OpenAlex, E.F. Knol has authored 147 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Genetics, 74 papers in Animal Science and Zoology and 73 papers in Small Animals. Recurrent topics in E.F. Knol's work include Genetic and phenotypic traits in livestock (94 papers), Animal Behavior and Welfare Studies (73 papers) and Genetic Mapping and Diversity in Plants and Animals (58 papers). E.F. Knol is often cited by papers focused on Genetic and phenotypic traits in livestock (94 papers), Animal Behavior and Welfare Studies (73 papers) and Genetic Mapping and Diversity in Plants and Animals (58 papers). E.F. Knol collaborates with scholars based in Netherlands, Brazil and United States. E.F. Knol's co-authors include T. van der Lende, J.I. Leenhouwers, Marcos S. Lopes, P. K. Mathur, J.W.M. Merks, B. Harlizius, H.A. Mulder, Rob Bergsma, J.A.M. van Arendonk and J.W.M. Bastiaansen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

E.F. Knol

142 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.F. Knol Netherlands 36 2.4k 1.9k 1.7k 491 359 147 3.8k
Jean Pierre Bidanel France 34 2.2k 0.9× 1.6k 0.8× 1.0k 0.6× 347 0.7× 412 1.1× 118 3.3k
R. K. Johnson United States 34 1.9k 0.8× 1.3k 0.7× 995 0.6× 626 1.3× 250 0.7× 119 2.8k
Christian Maltecca United States 37 2.5k 1.1× 998 0.5× 537 0.3× 1.1k 2.2× 649 1.8× 168 3.7k
E. Kanis Netherlands 25 1.3k 0.6× 1.6k 0.8× 1.1k 0.7× 461 0.9× 137 0.4× 80 2.7k
M. F. Rothschild United States 42 3.5k 1.5× 2.3k 1.2× 672 0.4× 614 1.3× 574 1.6× 258 5.7k
D. R. Notter United States 36 2.8k 1.2× 1.5k 0.8× 911 0.5× 1.9k 4.0× 356 1.0× 211 4.4k
C. C. Chase United States 34 1.6k 0.7× 1.8k 0.9× 460 0.3× 1.3k 2.6× 233 0.6× 81 3.3k
Guosheng Su Denmark 43 4.5k 1.9× 2.0k 1.0× 1.1k 0.7× 987 2.0× 1.7k 4.6× 186 6.3k
H. Bovenhuis Netherlands 44 3.9k 1.7× 1.9k 1.0× 508 0.3× 2.0k 4.0× 628 1.7× 168 5.9k
P.M. Hocking United Kingdom 39 1.2k 0.5× 3.4k 1.7× 1.2k 0.7× 112 0.2× 401 1.1× 186 4.9k

Countries citing papers authored by E.F. Knol

Since Specialization
Citations

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

Fields of papers citing papers by E.F. Knol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.F. Knol. 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 E.F. Knol. The network helps show where E.F. Knol may publish in the future.

Co-authorship network of co-authors of E.F. Knol

This figure shows the co-authorship network connecting the top 25 collaborators of E.F. Knol. A scholar is included among the top collaborators of E.F. Knol 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 E.F. Knol. E.F. Knol 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.
Silvestri, Giuseppe, Martijn F. L. Derks, Louisa J. Zak, et al.. (2023). Preimplantation Genetic Testing for Aneuploidy (PGT-A) Reveals High Levels of Chromosomal Errors in In Vivo-Derived Pig Embryos, with an Increased Incidence When Produced In Vitro. Cells. 12(5). 790–790. 5 indexed citations
2.
Knol, E.F., et al.. (2023). Using social interaction models for genetic analysis of skin damage in gilts. Genetics Selection Evolution. 55(1). 52–52. 1 indexed citations
4.
Guo, Qinghua, Yue Sun, E.F. Knol, et al.. (2022). Video-based Detection and Tracking with Improved Re-Identification Association for Pigs and Laying Hens in Farms. TU/e Research Portal. 69–78. 10 indexed citations
5.
Knol, E.F., André Garcia, Marcos S. Lopes, et al.. (2021). Investigating pig survival in different production phases using genomic models. Journal of Animal Science. 99(8). 16 indexed citations
6.
Lopes, Marcos S., P. K. Mathur, E.F. Knol, et al.. (2020). Applying an association weight matrix in weighted genomic prediction of boar taint compounds. Journal of Animal Breeding and Genetics. 138(4). 442–453. 7 indexed citations
7.
Rodenburg, T.B., J.E. Bolhuis, P. K. Mathur, et al.. (2020). Quantifying Individual Response to PRRSV Using Dynamic Indicators of Resilience Based on Activity. Frontiers in Veterinary Science. 7. 325–325. 17 indexed citations
8.
Lopes, Marcos S., J.W.M. Bastiaansen, Luc Janss, H. Bovenhuis, & E.F. Knol. (2014). Using SNP Markers to Estimate Additive, Dominance and Imprinting Genetic Variance. Socio-Environmental Systems Modeling. 3 indexed citations
9.
Bastiaansen, J.W.M., B. Harlizius, E.F. Knol, et al.. (2014). Asian low‐androstenone haplotype on pig chromosome 6 does not unfavorably affect production and reproduction traits. Animal Genetics. 45(6). 874–877. 2 indexed citations
10.
Napel, J. ten, P. K. Mathur, E.F. Knol, & H.A. Mulder. (2014). Genetic Control of Skatole in Intact Boars is Dependent on the Actual Androstenone Level. 1 indexed citations
11.
Mathur, P. K., J.M. Herrero-Medrano, Panoraia Alexandri, et al.. (2014). Genetic selection for disease resistance and tolerance in pigs using reproduction records. Proceedings of the World Congress on Genetics Applied to Livestock Production. 88. 1 indexed citations
12.
Knol, E.F., et al.. (2014). Estimation and Validation of Indirect Genetic Effects for Average Daily Gain in Two Purebred Sire Lines.. Socio-Environmental Systems Modeling. 564. 3 indexed citations
13.
Duijvesteijn, Naomi, Jacqueline M. Veltmaat, E.F. Knol, & B. Harlizius. (2014). High-resolution association mapping of number of teats in pigs reveals regions controlling vertebral development. BMC Genomics. 15(1). 542–542. 58 indexed citations
14.
Knol, E.F., et al.. (2010). Marginal economic values for pig production in different countries.. Proceedings of the World Congress on Genetics Applied to Livestock Production. 300. 3 indexed citations
15.
Leenhouwers, J.I., Rob Bergsma, E.F. Knol, & H. Feitsma. (2008). Genetic Parameters for Fertility of Boars and Impact of Selection against Boar Taint. Reproduction in Domestic Animals. 43. 100–100. 2 indexed citations
16.
Wijk, H.J. van, Bert Dibbits, J.A.J. Arts, et al.. (2006). Fine-mapping of a meat color QTL on Sus scrofa chromosome 4q.. Socio-Environmental Systems Modeling. 1 indexed citations
17.
Wijk, H.J. van, Bert Dibbits, Erica Elias Baron, et al.. (2006). Identification of quantitative trait loci for carcass composition and pork quality traits in a commercial finishing cross1. Journal of Animal Science. 84(4). 789–799. 50 indexed citations
18.
Kanis, E., et al.. (2006). Is within-family variation in carcass weight of pigs heritable?. Socio-Environmental Systems Modeling. 2006. 6–23. 2 indexed citations
19.
Lende, T. van der, E.F. Knol, & J.I. Leenhouwers. (2002). Prenatal development as a predisposing fact for perinatal losses. Reproduction. 58. 247–261. 6 indexed citations
20.
Pas, M.F.W. te, E. J. Steenbergen, E.F. Knol, et al.. (2001). Associations between porcine leptin and leptin-receptor marker genotypes and immune parameters. Journal of Animal Science. 79. 189–189. 29 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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