Severino Segato

1.4k total citations
75 papers, 1.1k citations indexed

About

Severino Segato is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Severino Segato has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Agronomy and Crop Science, 22 papers in Animal Science and Zoology and 17 papers in Molecular Biology. Recurrent topics in Severino Segato's work include Ruminant Nutrition and Digestive Physiology (20 papers), Meat and Animal Product Quality (15 papers) and Advanced Chemical Sensor Technologies (11 papers). Severino Segato is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (20 papers), Meat and Animal Product Quality (15 papers) and Advanced Chemical Sensor Technologies (11 papers). Severino Segato collaborates with scholars based in Italy, United Kingdom and France. Severino Segato's co-authors include Igino Andrighetto, Giorgio Marchesini, Barbara Contiero, Stefania Balzan, Enrico Novelli, Luca Fasolato, Lorenzo Serva, Roberta De Nardi, Vittoria Bisutti and Gianni Galaverna and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Molecules.

In The Last Decade

Severino Segato

73 papers receiving 1.0k citations

Peers

Severino Segato

ASZ

ACS

Lenka Vorlová Czechia

Carmen L. Manuelian Italy

Giorgio Marchesini Italy

D. L. VanOverbeke United States

B. Martin France

Biagina Chiofalo Italy

Isabelle Verdier‐Metz France

Luiz Ronaldo de Abreu Brazil

H. N. Zerby United States

Jerrad F. Legako United States

Lenka Vorlová Czechia

Severino Segato

314 ×0.7

ASZ

353 ×1.2

114 ×0.4

ACS

373 ×1.6

117 ×0.8

Citations per year, relative to Severino Segato Severino Segato (= 1×) peers Lenka Vorlová

Countries citing papers authored by Severino Segato

Since Specialization

Citations

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

Fields of papers citing papers by Severino Segato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Severino Segato

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

All Works

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20 of 20 papers shown

Mounier, Jérôme, Emmanuel Coton, Barbara Cardazzo, et al.. (2024). Discriminative power of DNA-based, volatilome, near infrared spectroscopy, elements and stable isotopes methods for the origin authentication of typical Italian mountain cheese using sPLS-DA modeling. Food Research International. 178. 113975–113975. 8 indexed citations

Magrin, Luisa, Barbara Contiero, Giulio Cozzi, Flaviana Gottardo, & Severino Segato. (2023). Deviation of behavioural and productive parameters in dairy cows due to a lameness event: a synthesis of reviews. Italian Journal of Animal Science. 22(1). 739–748. 3 indexed citations

Cullere, Marco, Davide Bertelli, Severino Segato, et al.. (2023). Potential of Full-Fat Silkworm-Based Diets for Laying Quails: Performance and Egg Physical Quality. Animals. 13(9). 1510–1510. 4 indexed citations

Serva, Lorenzo, et al.. (2023). Assessment of Maize Silage Quality under Different Pre-Ensiling Conditions. Data. 8(7). 117–117. 5 indexed citations

Posen, Paulette, et al.. (2023). A Scoping Review on GIS Technologies Applied to Farmed Fish Health Management. Animals. 13(22). 3525–3525. 4 indexed citations

Tata, Alessandra, Andrea Massaro, Giulio Cozzi, et al.. (2023). Seasonal Variation in Raw Milk VOC Profile within Intensive Feeding Systems. Foods. 12(9). 1871–1871. 3 indexed citations

Segato, Severino, et al.. (2023). Influence of Ageing Time and Method on Beef Quality and Safety. Foods. 12(17). 3250–3250. 7 indexed citations

Gelli, D, et al.. (2023). HEMATOLOGIC AND BIOCHEMISTRY REFERENCE INTERVALS FOR RESCUED RED FOXES (VULPES VULPES). Journal of Zoo and Wildlife Medicine. 54(2). 374–378.

Butler, Gillian, et al.. (2021). Multivariate modelling of milk fatty acid profile to discriminate the forages in dairy cows’ ration. Scientific Reports. 11(1). 23201–23201. 16 indexed citations

10.

Merlanti, Roberta, Lorena Lucatello, Vittoria Bisutti, et al.. (2020). Pyrrolizidine alkaloids in bee pollen identified by LC-MS/MS analysis and colour parameters using multivariate class modeling. Heliyon. 6(3). e03593–e03593. 23 indexed citations

11.

Serva, Lorenzo, et al.. (2019). Application of near-infrared spectroscopy for frozen-thawed characterization of cuttlefish (Sepia officinalis). Journal of Food Science and Technology. 56(10). 4437–4447. 18 indexed citations

12.

Nardi, Roberta De, Giorgio Marchesini, Shucong Li, et al.. (2016). Metagenomic analysis of rumen microbial population in dairy heifers fed a high grain diet supplemented with dicarboxylic acids or polyphenols. BMC Veterinary Research. 12(1). 29–29. 63 indexed citations

13.

Marchesini, Giorgio, Stefania Balzan, Filomena Montemurro, et al.. (2012). Effect of ultrasound alone or ultrasound coupled with CO2 on the chemical composition, cheese-making properties and sensory traits of raw milk. Innovative Food Science & Emerging Technologies. 16. 391–397. 49 indexed citations

14.

Nardi, Roberta De, et al.. (2012). Lecithin as a supplement for mid-lactating dairy cows. 67–70. 4 indexed citations

15.

Bernardini, Daniele, G. Gerardi, Angelo Peli, et al.. (2011). The effects of different environmental conditions on thermoregulation and clinical and hematological variables in long-distance road-transported calves1. Journal of Animal Science. 90(4). 1183–1191. 39 indexed citations

16.

Bernardini, Daniele, et al.. (2009). Use of serum amyloid A and milk amyloid A in the diagnosis of subclinical mastitis in dairy cows. Journal of Dairy Research. 76(4). 411–417. 41 indexed citations

17.

Segato, Severino, et al.. (2008). Effect of dietary EE/NFE ratio on sensorial traits of shi drum. Acta agriculturae Slovenica. 123–127. 4 indexed citations

18.

Fasolato, Luca, Amedeo Manfrin, Giuseppe Arcangeli, et al.. (2008). DETERMINAZIONE DI PARAMETRI DI OUALITA : E AUTENTIČAZIONE IN SOGLIOLE TRAMITE NIRS. 47(479). 355–361. 2 indexed citations

19.

Draisci, R., Roberta Merlanti, Giovanni Ferretti, et al.. (2007). Excretion profile of boldenone in urine of veal calves fed two different milk replacers. Analytica Chimica Acta. 586(1-2). 171–176. 14 indexed citations

20.

Novelli, Enrico, et al.. (2003). Detection of Genetically Modified Organisms (GMOs) in Food and Feedstuff. Veterinary Research Communications. 27(S1). 699–701. 2 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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