Chiara Salvarani

406 total citations
9 papers, 347 citations indexed

About

Chiara Salvarani is a scholar working on Animal Science and Zoology, Molecular Biology and Small Animals. According to data from OpenAlex, Chiara Salvarani has authored 9 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Animal Science and Zoology, 5 papers in Molecular Biology and 3 papers in Small Animals. Recurrent topics in Chiara Salvarani's work include Gut microbiota and health (5 papers), Animal Nutrition and Physiology (4 papers) and Animal Behavior and Welfare Studies (3 papers). Chiara Salvarani is often cited by papers focused on Gut microbiota and health (5 papers), Animal Nutrition and Physiology (4 papers) and Animal Behavior and Welfare Studies (3 papers). Chiara Salvarani collaborates with scholars based in Italy, Denmark and Ireland. Chiara Salvarani's co-authors include Paolo Trevisi, Diana Luise, Paolo Bosi, Vincenzo Motta, Micol Bertocchi, Makoto Bannai, Tetsuya Takimoto, Aude Simongiovanni, Keiko Matsunaga and Samuele Bovo and has published in prestigious journals such as Scientific Reports, Animal Feed Science and Technology and Livestock Science.

In The Last Decade

Chiara Salvarani

9 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiara Salvarani Italy 7 123 109 62 53 34 9 347
Micol Bertocchi Italy 10 225 1.8× 137 1.3× 70 1.1× 66 1.2× 35 1.0× 15 468
Aude Simongiovanni France 7 133 1.1× 109 1.0× 64 1.0× 30 0.6× 36 1.1× 25 373
Vincenzo Motta Italy 13 197 1.6× 206 1.9× 94 1.5× 105 2.0× 38 1.1× 16 548
Alberto Elmi Italy 12 56 0.5× 101 0.9× 58 0.9× 73 1.4× 19 0.6× 45 422
F. Vitari Italy 12 205 1.7× 103 0.9× 63 1.0× 100 1.9× 18 0.5× 23 473
Pradip Kumar Das India 13 81 0.7× 48 0.4× 15 0.2× 73 1.4× 24 0.7× 56 412
Jae-Young Heo South Korea 14 97 0.8× 235 2.2× 25 0.4× 161 3.0× 29 0.9× 65 583
Wenjie Jin China 11 128 1.0× 124 1.1× 18 0.3× 24 0.5× 40 1.2× 35 378
Ju Lan Chun South Korea 14 56 0.5× 205 1.9× 54 0.9× 45 0.8× 25 0.7× 41 467
Yongxin Sun China 14 23 0.2× 101 0.9× 45 0.7× 36 0.7× 22 0.6× 38 772

Countries citing papers authored by Chiara Salvarani

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Salvarani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Salvarani

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

All Works

9 of 9 papers shown
1.
Vitali, Marika, et al.. (2020). On-Farm Welfare Assessment Protocol for Suckling Piglets: A Pilot Study. Animals. 10(6). 1016–1016. 17 indexed citations
2.
Luise, Diana, Gianfranco Picone, Agnese Balzani, et al.. (2020). Investigation of the Defatted Colostrum 1H-NMR Metabolomics Profile of Gilts and Multiparous Sows and Its Relationship with Litter Performance. Animals. 10(1). 154–154. 13 indexed citations
3.
Luise, Diana, Vincenzo Motta, Christelle Boudry, et al.. (2020). The supplementation of a corn/barley-based diet with bacterial xylanase did not prevent diarrhoea of ETEC susceptible piglets, but favoured the persistence of Lactobacillus reuteri in the gut. Livestock Science. 240. 104161–104161. 7 indexed citations
5.
Luise, Diana, Micol Bertocchi, Vincenzo Motta, et al.. (2019). Bacillus sp. probiotic supplementation diminish the Escherichia coli F4ac infection in susceptible weaned pigs by influencing the intestinal immune response, intestinal microbiota and blood metabolomics. Journal of Animal Science and Biotechnology. 10(1). 74–74. 65 indexed citations
6.
Luppi, Andrea, et al.. (2019). Monitoring antimicrobial use in Emilia Romagna region herds during 2016-2017: preliminary results.. 77–84. 1 indexed citations
7.
Bertocchi, Micol, Paolo Bosi, Diana Luise, et al.. (2019). Dose-response of different dietary leucine levels on growth performance and amino acid metabolism in piglets differing for aminoadipate-semialdehyde synthase genotypes. Scientific Reports. 9(1). 18496–18496. 177 indexed citations
8.
Luise, Diana, Vincenzo Motta, Micol Bertocchi, et al.. (2019). Effect of Mucine 4 and Fucosyltransferase 1 genetic variants on gut homoeostasis of growing healthy pigs. Journal of Animal Physiology and Animal Nutrition. 103(3). 801–812. 24 indexed citations
9.
Luise, Diana, Vincenzo Motta, Chiara Salvarani, et al.. (2017). Long-term administration of formic acid to weaners: Influence on intestinal microbiota, immunity parameters and growth performance. Animal Feed Science and Technology. 232. 160–168. 37 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026