Misa Sandri

619 total citations
24 papers, 463 citations indexed

About

Misa Sandri is a scholar working on Molecular Biology, Food Science and Physiology. According to data from OpenAlex, Misa Sandri has authored 24 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Food Science and 6 papers in Physiology. Recurrent topics in Misa Sandri's work include Gut microbiota and health (14 papers), Probiotics and Fermented Foods (7 papers) and Diet and metabolism studies (6 papers). Misa Sandri is often cited by papers focused on Gut microbiota and health (14 papers), Probiotics and Fermented Foods (7 papers) and Diet and metabolism studies (6 papers). Misa Sandri collaborates with scholars based in Italy, United Kingdom and United States. Misa Sandri's co-authors include Bruno Stefanon, Sandy Sgorlon, Simeone Dal Monego, Giuseppe Conte, Danilo Licastro, Chiara Manfrin, Alberto Pallavicini, Monica Colitti, Giorgia Meineri and Andrea Serra and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Animal Feed Science and Technology.

In The Last Decade

Misa Sandri

22 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Misa Sandri Italy 12 255 138 109 94 76 24 463
Alison N. Beloshapka United States 12 203 0.8× 55 0.4× 116 1.1× 123 1.3× 56 0.7× 21 509
Shanlin Ke China 16 422 1.7× 51 0.4× 97 0.9× 118 1.3× 167 2.2× 24 664
Patrícia M Oba United States 14 250 1.0× 73 0.5× 152 1.4× 146 1.6× 63 0.8× 68 530
Tomás Ryan Ireland 7 246 1.0× 49 0.4× 79 0.7× 25 0.3× 99 1.3× 8 417
Gustavo A. Romero‐Pérez Japan 10 210 0.8× 52 0.4× 67 0.6× 24 0.3× 48 0.6× 16 432
Ursula M. McCormack United Kingdom 9 374 1.5× 51 0.4× 115 1.1× 29 0.3× 174 2.3× 14 575
Caroline A Kerr Australia 12 194 0.8× 74 0.5× 53 0.5× 81 0.9× 28 0.4× 29 535
Brigitta Wichert Switzerland 13 90 0.4× 108 0.8× 29 0.3× 51 0.5× 37 0.5× 37 487
Emmanuelle Apper France 11 190 0.7× 33 0.2× 116 1.1× 47 0.5× 59 0.8× 29 368

Countries citing papers authored by Misa Sandri

Since Specialization
Citations

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

Fields of papers citing papers by Misa Sandri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misa Sandri

This figure shows the co-authorship network connecting the top 25 collaborators of Misa Sandri. A scholar is included among the top collaborators of Misa Sandri 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 Misa Sandri. Misa Sandri 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.
Sandri, Misa, et al.. (2024). Dietary grape proanthocyanidins modulate gut microbiome and neuroendocrine response in dogs. Animal Feed Science and Technology. 318. 116112–116112.
3.
Meineri, Giorgia, et al.. (2023). Characterization of the Blood Microbiome and Comparison with the Fecal Microbiome in Healthy Dogs and Dogs with Gastrointestinal Disease. Veterinary Sciences. 10(4). 277–277. 8 indexed citations
4.
Stefanon, Bruno, et al.. (2023). Factors Affecting Gut Microbiota of Puppies from Birth to Weaning. Animals. 13(4). 578–578. 5 indexed citations
5.
Cipolat‐Gotet, Claudio, Bruno Stefanon, Alfonso Zecconi, et al.. (2022). Effect of total and differential somatic cell count on yield, composition and predicted coagulation properties from individual dairy cows. International Journal of Dairy Technology. 75(2). 298–307. 12 indexed citations
6.
Colitti, Monica, Bruno Stefanon, Misa Sandri, & Danilo Licastro. (2022). Incubation of canine dermal fibroblasts with serum from dogs with atopic dermatitis activates extracellular matrix signalling and represses oxidative phosphorylation. Veterinary Research Communications. 47(1). 247–258. 1 indexed citations
7.
Meineri, Giorgia, Elisa Martello, Silvia Miretti, et al.. (2022). Effects of Saccharomyces boulardii Supplementation on Nutritional Status, Fecal Parameters, Microbiota, and Mycobiota in Breeding Adult Dogs. Veterinary Sciences. 9(8). 389–389. 19 indexed citations
8.
Jha, Aashish R., et al.. (2022). Network-based gut microbiome analysis in dogs. Italian Journal of Animal Science. 21(1). 1465–1475.
9.
Palombo, Valentino, Mariasilvia D’Andrea, Danilo Licastro, et al.. (2021). Single-Step Genome Wide Association Study Identifies QTL Signals for Untrimmed and Trimmed Thigh Weight in Italian Crossbred Pigs for Dry-Cured Ham Production. Animals. 11(6). 1612–1612. 7 indexed citations
10.
Stefanon, Bruno, et al.. (2020). Learning machine approach reveals microbial signatures of diet and sex in dog. PLoS ONE. 15(8). e0237874–e0237874. 25 indexed citations
11.
Sandri, Misa, et al.. (2020). Effect of different starch sources in a raw meat-based diet on fecal microbiome in dogs housed in a shelter. Animal nutrition. 6(3). 353–361. 9 indexed citations
12.
Sandri, Misa, et al.. (2020). Blood Microbiome: A New Marker of Gut Microbial Population in Dogs?. Veterinary Sciences. 7(4). 198–198. 21 indexed citations
13.
Sgorlon, Sandy, et al.. (2019). Concentration of elements in the hair of growing and adult dogs. Italian Journal of Animal Science. 18(1). 1126–1134. 6 indexed citations
14.
Stefanon, Bruno, et al.. (2018). Variations of salivary cortisol in dogs exposed to different cognitive and physical activities. Italian Journal of Animal Science. 17(4). 1030–1037. 20 indexed citations
15.
Sgorlon, Sandy, Bruno Stefanon, Misa Sandri, & Monica Colitti. (2016). Nutrigenomic activity of plant derived compounds in health and disease: Results of a dietary intervention study in dog. Research in Veterinary Science. 109. 142–148. 22 indexed citations
16.
Sandri, Misa, Simeone Dal Monego, Giuseppe Conte, Sandy Sgorlon, & Bruno Stefanon. (2016). Raw meat based diet influences faecal microbiome and end products of fermentation in healthy dogs. BMC Veterinary Research. 13(1). 65–65. 134 indexed citations
17.
Sandri, Misa, Bruno Stefanon, & Juan J. Loor. (2015). Transcriptome profiles of whole blood in Italian Holstein and Italian Simmental lactating cows diverging for genetic merit for milk protein. Journal of Dairy Science. 98(9). 6119–6127. 13 indexed citations
18.
Sandri, Misa, et al.. (2015). Salivary cortisol concentration in healthy dogs is affected by size, sex, and housing context. Journal of Veterinary Behavior. 10(4). 302–306. 52 indexed citations
19.
Sandri, Misa, et al.. (2015). Association of Index of Welfare and Metabolism with the Genetic Merit of Holstein and Simmental Cows After the Peak of Lactation. Italian Journal of Animal Science. 14(3). 3841–3841. 8 indexed citations
20.
Sandri, Misa, Chiara Manfrin, Alberto Pallavicini, & Bruno Stefanon. (2014). Microbial biodiversity of the liquid fraction of rumen content from lactating cows. animal. 8(4). 572–579. 39 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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