Slim Ben Jemaa

614 total citations
23 papers, 357 citations indexed

About

Slim Ben Jemaa is a scholar working on Genetics, Cancer Research and Agronomy and Crop Science. According to data from OpenAlex, Slim Ben Jemaa has authored 23 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 8 papers in Cancer Research and 4 papers in Agronomy and Crop Science. Recurrent topics in Slim Ben Jemaa's work include Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Cancer-related molecular mechanisms research (8 papers). Slim Ben Jemaa is often cited by papers focused on Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Cancer-related molecular mechanisms research (8 papers). Slim Ben Jemaa collaborates with scholars based in Tunisia, France and Italy. Slim Ben Jemaa's co-authors include Mekki Boussaha, Salvatore Mastrangelo, Jun Heon Lee, Seung Hwan Lee, Elena Ciani, Tom Druet, Sébastien Fritz, François Guillaume, Fabio Pilla and Baldassare Portolano and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Slim Ben Jemaa

22 papers receiving 347 citations

Peers

Slim Ben Jemaa
Slim Ben Jemaa
Citations per year, relative to Slim Ben Jemaa Slim Ben Jemaa (= 1×) peers Takeshi Honda

Countries citing papers authored by Slim Ben Jemaa

Since Specialization
Citations

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

Fields of papers citing papers by Slim Ben Jemaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Slim Ben Jemaa. 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 Slim Ben Jemaa. The network helps show where Slim Ben Jemaa may publish in the future.

Co-authorship network of co-authors of Slim Ben Jemaa

This figure shows the co-authorship network connecting the top 25 collaborators of Slim Ben Jemaa. A scholar is included among the top collaborators of Slim Ben Jemaa 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 Slim Ben Jemaa. Slim Ben Jemaa 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.
Criscione, Andrea, Slim Ben Jemaa, Gianni Chessari, et al.. (2025). Detecting the footprint of selection on the genome of Girgentana goat, a popular ancient breed. animal. 19(4). 101466–101466.
2.
Bélanger, Mathieu, et al.. (2025). Adolescent physical activity profiles as determinants of emerging adults’ physical activity. International Journal of Behavioral Nutrition and Physical Activity. 22(1). 35–35. 1 indexed citations
3.
Jemaa, Slim Ben, Salvatore Mastrangelo, Franco Carta, et al.. (2025). Genome-wide identification of selection signatures across altitudinal gradients in dairy sheep breeds. Scientific Reports. 15(1). 29117–29117. 1 indexed citations
4.
Jemaa, Slim Ben, Johannes A. Lenstra, Salvatore Mastrangelo, et al.. (2024). Genome‐wide scans for signatures of selection in North African sheep reveals differentially selected regions between fat‐ and thin‐tailed breeds. Animal Genetics. 56(1). e13487–e13487. 2 indexed citations
5.
Jemaa, Slim Ben, Mekki Boussaha, Nathalie Mandonnet, Philippe Bardou, & Michel Navès. (2024). Uncovering structural variants in Creole cattle from Guadeloupe and their impact on environmental adaptation through whole genome sequencing. PLoS ONE. 19(8). e0309411–e0309411. 5 indexed citations
6.
Jemaa, Slim Ben, Mekki Boussaha, Philippe Bardou, et al.. (2023). Whole genome sequencing reveals signals of adaptive admixture in Creole cattle. Scientific Reports. 13(1). 12155–12155. 11 indexed citations
7.
Mastrangelo, Salvatore, Slim Ben Jemaa, Francesco Perini, et al.. (2023). Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens. Genetics Selection Evolution. 55(1). 20–20. 15 indexed citations
8.
Jemaa, Slim Ben, Marco Tolone, Maria Teresa Sardina, et al.. (2023). A genome‐wide comparison between selected and unselected Valle del Belice sheep reveals differences in population structure and footprints of recent selection. Journal of Animal Breeding and Genetics. 140(5). 558–567. 2 indexed citations
9.
Jemaa, Slim Ben, Gabriele Senczuk, Elena Ciani, et al.. (2021). Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle. Frontiers in Genetics. 12. 675569–675569. 19 indexed citations
10.
Mastrangelo, Salvatore, Marco Tolone, Slim Ben Jemaa, et al.. (2020). Refining the genetic structure and relationships of European cattle breeds through meta-analysis of worldwide genomic SNP data, focusing on Italian cattle. Scientific Reports. 10(1). 14522–14522. 22 indexed citations
11.
Jemaa, Slim Ben, Salvatore Mastrangelo, Seung Hwan Lee, Jun Heon Lee, & Mekki Boussaha. (2020). Genome-wide scan for selection signatures reveals novel insights into the adaptive capacity in local North African cattle. Scientific Reports. 10(1). 19466–19466. 41 indexed citations
12.
Mastrangelo, Salvatore, Slim Ben Jemaa, Elena Ciani, et al.. (2020). Genome‐wide detection of signatures of selection in three Valdostana cattle populations. Journal of Animal Breeding and Genetics. 137(6). 609–621. 27 indexed citations
13.
Jemaa, Slim Ben, et al.. (2019). Genomic inbreeding and population structure in rams of Tunisian D'man sheep.. Journal of New Sciences. 61. 3874–3884. 1 indexed citations
14.
Jemaa, Slim Ben, et al.. (2019). Linkage disequilibrium and past effective population size in native Tunisian cattle. Genetics and Molecular Biology. 42(1). 52–61. 11 indexed citations
15.
Jemaa, Slim Ben, et al.. (2018). The high prolificacy of D’man sheep is associated with the segregation of the FecLL mutation in the B4GALNT2 gene. Reproduction in Domestic Animals. 54(3). 531–537. 14 indexed citations
17.
Jemaa, Slim Ben, et al.. (2015). Discrimination of the commercial Korean native chicken population using microsatellite markers. Journal of Animal Science and Technology. 57(1). 5–5. 24 indexed citations
18.
Jemaa, Slim Ben, et al.. (2015). Genome-wide insights into population structure and genetic history of tunisian local cattle using the illumina bovinesnp50 beadchip. BMC Genomics. 16(1). 677–677. 29 indexed citations
19.
Jemaa, Slim Ben, Sébastien Fritz, François Guillaume, et al.. (2008). Detection of quantitative trait loci affecting non‐return rate in French dairy cattle. Journal of Animal Breeding and Genetics. 125(4). 280–288. 21 indexed citations
20.
Guillaume, François, Mathieu Gautier, Slim Ben Jemaa, et al.. (2006). Refinement of two female fertility QTL using alternative phenotypes in French Holstein dairy cattle. Animal Genetics. 38(1). 72–74. 21 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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