Francesca Bertolini

2.2k citations
85 papers · 1.7k · h-index 24

Impact in

Papers in

Francesca Bertolini

80 papers receiving 1.7k citations

Peers

Francesca Bertolini
Comparison fields: 5 of 91
  • Genetics 1k
  • Animal Science and Zoology 122
  • Insect Science 95
  • Equine 17
  • Physiology 27
Replace Brenda M. Murdoch with:
Brenda M. Murdoch United States
Xian Guo China
Giuseppina Schiavo Italy
Marina R. S. Fortes Australia
Xiangdong Ding China
Douglas J. Bolt United States
Paola Crepaldi Italy
Matthew E. Wilson United States
Anna Kristina Sonesson Norway
Defu Hu China
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Citations per field
00.5×5×10×15.8×
Brenda M. Murdoch · 1×
Citations per year

Countries citing papers authored by Francesca Bertolini

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Bertolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Francesca Bertolini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Bertolini Line = papers co-authored together Francesca Bertolini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018125
2 200283
3 201564
4 201757
5 201754
6 201950
7 202049
8 201548
9 201843
10 201943
11 201942
12 201940
13 201839
14 201736
15 201433
16 201532
17 201630
18 202029
19 202029
20 201927

About Francesca Bertolini

Francesca Bertolini is a scholar working on Genetics, Animal Science and Zoology, Molecular Biology, Insect Science and Physiology, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (54 papers), Genetic diversity and population structure (4 papers), Asthma and respiratory diseases (4 papers), Identification and Quantification in Food (4 papers), Animal Nutrition and Physiology (3 papers), Gut microbiota and health (3 papers), Genomics and Phylogenetic Studies (3 papers) and Reproductive biology and impacts on aquatic species (2 papers). The work is most often cited by research in Genetics (1k citations), Animal Science and Zoology (122 citations), Insect Science (95 citations), Equine (17 citations) and Physiology (27 citations). Francesca Bertolini has collaborated with scholars based in Italy, Denmark and United States. Frequent co-authors include Luca Fontanesi, Giuseppina Schiavo, Samuele Bovo, Anisa Ribani, Stefania Dall’Olio, Valerio Joe Utzeri, Giuliano Galimberti, Max F. Rothschild, Claudia Geraci and M. Gallo. Their work appears in journals such as Animal Genetics, animal, PLoS ONE, Livestock Science and Scientific Reports.

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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