Matteo Gianesella

2.0k total citations
96 papers, 1.5k citations indexed

About

Matteo Gianesella is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Small Animals. According to data from OpenAlex, Matteo Gianesella has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Agronomy and Crop Science, 34 papers in Animal Science and Zoology and 32 papers in Small Animals. Recurrent topics in Matteo Gianesella's work include Reproductive Physiology in Livestock (44 papers), Ruminant Nutrition and Digestive Physiology (34 papers) and Effects of Environmental Stressors on Livestock (30 papers). Matteo Gianesella is often cited by papers focused on Reproductive Physiology in Livestock (44 papers), Ruminant Nutrition and Digestive Physiology (34 papers) and Effects of Environmental Stressors on Livestock (30 papers). Matteo Gianesella collaborates with scholars based in Italy, United States and France. Matteo Gianesella's co-authors include M. Morgante, Enrico Fiore, Giuseppe Piccione, Elisabetta Giudice, C. Stelletta, Francesca Arfuso, Igino Andrighetto, Alessio Cecchinato, P.L. Ruegg and Giovanni Bittante and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Matteo Gianesella

94 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Gianesella Italy 22 858 527 412 358 161 96 1.5k
M. Morgante Italy 21 757 0.9× 453 0.9× 352 0.9× 319 0.9× 138 0.9× 84 1.3k
Severiano Silva Portugal 19 305 0.4× 730 1.4× 320 0.8× 191 0.5× 133 0.8× 77 1.2k
Jürg W. Blum Switzerland 25 1.0k 1.2× 484 0.9× 395 1.0× 613 1.7× 153 1.0× 48 1.8k
Laura Menchetti Italy 25 259 0.3× 611 1.2× 370 0.9× 451 1.3× 260 1.6× 132 1.9k
M. Quinton Canada 22 306 0.4× 652 1.2× 560 1.4× 307 0.9× 128 0.8× 54 1.6k
A. A. K. Salama Spain 22 672 0.8× 735 1.4× 347 0.8× 261 0.7× 235 1.5× 71 1.3k
Francesca Arfuso Italy 25 370 0.4× 490 0.9× 210 0.5× 330 0.9× 70 0.4× 175 2.3k
J. E. Hocking Edwards United Kingdom 35 497 0.6× 1.5k 2.8× 711 1.7× 936 2.6× 87 0.5× 94 3.1k
Michael Iwersen Austria 22 830 1.0× 721 1.4× 496 1.2× 843 2.4× 161 1.0× 64 1.7k
A. K. W. TONG Canada 24 451 0.5× 1.6k 3.0× 569 1.4× 711 2.0× 239 1.5× 98 2.2k

Countries citing papers authored by Matteo Gianesella

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Gianesella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Gianesella

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Gianesella. A scholar is included among the top collaborators of Matteo Gianesella 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 Matteo Gianesella. Matteo Gianesella 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
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Laghi, Luca, Enrico Fiore, Alessio Cecchinato, et al.. (2023). Serum metabolome differences associated with subclinical intramammary infection caused by Streptococcus agalactiae and Prototheca spp. in multiparous dairy cows. Journal of Dairy Science. 107(3). 1656–1668. 8 indexed citations
3.
Bisutti, Vittoria, Sara Pegolo, Matteo Gianesella, et al.. (2023). Effect of intramammary infection and inflammation on milk protein profile assessed at the quarter level in Holstein cows. Journal of Dairy Science. 107(3). 1413–1426. 3 indexed citations
4.
Pegolo, Sara, Vittoria Bisutti, Diana Giannuzzi, et al.. (2023). Associations between subclinical intramammary infection and milk fatty acid profile at the quarter level in Holstein cattle. animal. 17(10). 100978–100978. 3 indexed citations
5.
Pegolo, Sara, Diana Giannuzzi, F. Piccioli-Cappelli, et al.. (2023). Blood biochemical changes upon subclinical intramammary infection and inflammation in Holstein cattle. Journal of Dairy Science. 106(9). 6539–6550. 12 indexed citations
6.
7.
Pegolo, Sara, Vittoria Bisutti, Diana Giannuzzi, et al.. (2022). Quarter-level analyses of the associations among subclinical intramammary infection and milk quality, udder health, and cheesemaking traits in Holstein cows. Journal of Dairy Science. 105(4). 3490–3507. 24 indexed citations
8.
Vianello, Fábio, Enrico Novelli, Stefania Balzan, et al.. (2022). Comprehensive Review on the Interactions of Clay Minerals With Animal Physiology and Production. Frontiers in Veterinary Science. 9. 889612–889612. 37 indexed citations
9.
Giannuzzi, Diana, Enrico Fiore, Matteo Gianesella, et al.. (2022). Associations between ultrasound hepatic measurements, body measures, and milk production traits in Holstein cows. Journal of Dairy Science. 105(8). 7111–7124. 7 indexed citations
10.
Fiore, Enrico, Giuseppe Piccione, Elisabetta Giudice, et al.. (2020). Detection of digital and interdigital dermatitis in Holstein Friesian dairy cows by means of Infrared Thermography. Large animals review. 26(3). 113–116. 7 indexed citations
11.
Fiore, Enrico, et al.. (2020). A retrospective study on transabdominal ultrasound measurements of the rumen wall thickness to evaluate chronic rumen acidosis in beef cattle. BMC Veterinary Research. 16(1). 337–337. 4 indexed citations
12.
Gianesella, Matteo, Enrico Fiore, Elisabetta Giudice, et al.. (2018). Transition period in healthy and diseased dairy cows: evaluation of metabolic modifications.. Large animals review. 24(3). 107–111. 5 indexed citations
13.
Fiore, Enrico, Giuseppe Piccione, Francesca Arfuso, Alessandro Zumbo, & Matteo Gianesella. (2017). Metabolic changes in dairy cows at different lactation class during the transition period. Large animals review. 23. 45–48. 3 indexed citations
14.
Fiore, Enrico, et al.. (2016). Methaphylactic effect of tulathromycin treatment on rumen fluid parameters in feedlot beef cattle.. PubMed. 80(1). 60–5. 5 indexed citations
15.
Fiore, Emilio, Matteo Gianesella, Cinzia Benazzi, et al.. (2016). Epiphysitis in fattening bulls: radiological and pathologic findings. Large animals review. 22(1). 43–45. 3 indexed citations
16.
Fiore, Enrico, A. Barberio, M. Morgante, et al.. (2015). Glucose infusion response to some biochemical parameters in dairy cows during the transition period. Animal Science Papers and Reports. 33(2). 129–136. 11 indexed citations
17.
Casella, Stefania, et al.. (2012). Pattern of Rectal Temperature in Sheep Affected by Foot Rot. ACTA SCIENTIAE VETERINARIAE. 40(2). 1–5. 3 indexed citations
18.
Giudice, Emanuela Del & Matteo Gianesella. (2010). Hydro-physiotherapy in the "downer cow" rehabilitation.. Large animals review. 16(3). 125–131.
19.
Morgante, M., Matteo Gianesella, Elisabetta Versace, et al.. (2010). Preliminary study on metabolic profile of pregnant and non‐pregnant ewes with high or low degree of behavioral lateralization. Animal Science Journal. 81(6). 722–730. 13 indexed citations
20.
Murgia, Lelia, C. Stelletta, Maria Caria, et al.. (2008). Using infrared thermography to monitor the effect of different milking vacuum levels on teat tissue in dairy ewes. 1. 88–88. 1 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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