Paulette Berzi

2.3k total citations · 1 hit paper
10 papers, 1.9k citations indexed

About

Paulette Berzi is a scholar working on Genetics, Plant Science and Cancer Research. According to data from OpenAlex, Paulette Berzi has authored 10 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 4 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Paulette Berzi's work include Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Wheat and Barley Genetics and Pathology (3 papers). Paulette Berzi is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Wheat and Barley Genetics and Pathology (3 papers). Paulette Berzi collaborates with scholars based in Belgium, Finland and New Zealand. Paulette Berzi's co-authors include Michel Georges, Nadine Cambisano, Wouter Coppieters, Bernard Grisart, Latifa Karim, Patricia Simon, Frédéric Farnir, Myriam Mni, Russell G. Snell and Christine A. Ford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Genome Research.

In The Last Decade

Paulette Berzi

10 papers receiving 1.8k citations

Hit Papers

Positional Candidate Cloning of a QTL in Dairy Cattle: Id... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paulette Berzi Belgium 9 1.7k 568 311 265 221 10 1.9k
Christine A. Ford New Zealand 7 1.2k 0.7× 329 0.6× 249 0.8× 241 0.9× 157 0.7× 8 1.4k
Nadine Cambisano Belgium 14 2.4k 1.4× 707 1.2× 497 1.6× 387 1.5× 384 1.7× 22 2.7k
Myriam Mni Belgium 7 1.5k 0.9× 486 0.9× 247 0.8× 229 0.9× 205 0.9× 9 1.7k
D.W. Heyen United States 11 1.0k 0.6× 327 0.6× 182 0.6× 181 0.7× 229 1.0× 11 1.2k
Joanna Szyda Poland 19 956 0.6× 268 0.5× 191 0.6× 304 1.1× 283 1.3× 86 1.2k
Sonja Kollers Germany 22 1.1k 0.7× 1.2k 2.1× 70 0.2× 210 0.8× 212 1.0× 41 1.7k
Nina Schulman Finland 13 816 0.5× 183 0.3× 181 0.6× 315 1.2× 103 0.5× 18 930
Yoshinobu Uemoto Japan 22 977 0.6× 122 0.2× 234 0.8× 163 0.6× 196 0.9× 95 1.3k
B. E. Harrison Australia 17 801 0.5× 151 0.3× 193 0.6× 165 0.6× 157 0.7× 24 1.0k
Danny Wagenaar Belgium 7 840 0.5× 302 0.5× 125 0.4× 62 0.2× 233 1.1× 8 953

Countries citing papers authored by Paulette Berzi

Since Specialization
Citations

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

Fields of papers citing papers by Paulette Berzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulette Berzi

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

All Works

10 of 10 papers shown
2.
Grisart, Bernard, Wouter Coppieters, Frédéric Farnir, et al.. (2002). Positional Candidate Cloning of a QTL in Dairy Cattle: Identification of a Missense Mutation in the Bovine DGAT1 Gene with Major Effect on Milk Yield and Composition. Genome Research. 12(2). 222–231. 781 indexed citations breakdown →
4.
Farnir, Frédéric, Wouter Coppieters, Juan-José Arranz, et al.. (2000). Extensive Genome-wide Linkage Disequilibrium in Cattle. Genome Research. 10(2). 220–227. 293 indexed citations
5.
Riquet, Juliette, Wouter Coppieters, Nadine Cambisano, et al.. (1999). Fine-mapping of quantitative trait loci by identity by descent in outbred populations: Application to milk production in dairy cattle. Proceedings of the National Academy of Sciences. 96(16). 9252–9257. 133 indexed citations
6.
Coppieters, Wouter, Paulette Berzi, Nadine Cambisano, et al.. (1998). A QTL affecting milk yield and composition maps to bovine chromosome 20: a confirmation. Animal Genetics. 29(2). 107–115. 60 indexed citations
7.
Coppieters, Wouter, Juliette Riquet, Paulette Berzi, et al.. (1998). A QTL with major effect on milk yield and composition maps to bovine Chromosome 14. Mammalian Genome. 9(7). 540–544. 122 indexed citations
8.
Arranz, J. J., Wouter Coppieters, Paulette Berzi, et al.. (1998). Confirmation of a QTL affect milk production in bovine chromosome 20.. 285–288. 2 indexed citations
9.
Charlier, Carole, Frédéric Farnir, Paulette Berzi, et al.. (1996). Identity-by-descent mapping of recessive traits in livestock: application to map the bovine syndactyly locus to chromosome 15.. Genome Research. 6(7). 580–589. 36 indexed citations
10.
Grooteclaes, Madeleine, et al.. (1994). The 6-kilobase c-erbB2 promoter contains positive and negative regulatory elements functional in human mammary cell lines.. PubMed. 54(15). 4193–9. 20 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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