M. Morgante

1.8k total citations
84 papers, 1.3k citations indexed

About

M. Morgante is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, M. Morgante has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Agronomy and Crop Science, 26 papers in Animal Science and Zoology and 26 papers in Genetics. Recurrent topics in M. Morgante's work include Reproductive Physiology in Livestock (36 papers), Genetic and phenotypic traits in livestock (25 papers) and Ruminant Nutrition and Digestive Physiology (25 papers). M. Morgante is often cited by papers focused on Reproductive Physiology in Livestock (36 papers), Genetic and phenotypic traits in livestock (25 papers) and Ruminant Nutrition and Digestive Physiology (25 papers). M. Morgante collaborates with scholars based in Italy, United States and Australia. M. Morgante's co-authors include Matteo Gianesella, Enrico Fiore, Giuseppe Piccione, C. Stelletta, Elisabetta Giudice, Alessio Cecchinato, Giovanni Bittante, Igino Andrighetto, P.L. Ruegg and Tania Bobbo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

M. Morgante

84 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Morgante Italy 21 757 453 352 319 138 84 1.3k
Matteo Gianesella Italy 22 858 1.1× 527 1.2× 412 1.2× 358 1.1× 161 1.2× 96 1.5k
Margit Kulcsár Hungary 24 1.5k 1.9× 378 0.8× 800 2.3× 401 1.3× 116 0.8× 74 2.0k
M. Quinton Canada 22 306 0.4× 652 1.4× 560 1.6× 307 1.0× 128 0.9× 54 1.6k
Mark McGee Ireland 21 559 0.7× 449 1.0× 373 1.1× 303 0.9× 56 0.4× 64 1.2k
J.L. Burton United States 24 671 0.9× 524 1.2× 299 0.8× 450 1.4× 44 0.3× 43 1.4k
Jürg W. Blum Switzerland 25 1.0k 1.3× 484 1.1× 395 1.1× 613 1.9× 153 1.1× 48 1.8k
Lorenzo E. Hernández-Castellano Spain 25 802 1.1× 508 1.1× 331 0.9× 530 1.7× 274 2.0× 78 1.6k
Shiro Kushibiki Japan 21 673 0.9× 330 0.7× 263 0.7× 199 0.6× 108 0.8× 83 1.2k
Tai‐Young Hur South Korea 18 612 0.8× 232 0.5× 291 0.8× 282 0.9× 152 1.1× 102 1.4k
A. A. K. Salama Spain 22 672 0.9× 735 1.6× 347 1.0× 261 0.8× 235 1.7× 71 1.3k

Countries citing papers authored by M. Morgante

Since Specialization
Citations

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

Fields of papers citing papers by M. Morgante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Morgante

This figure shows the co-authorship network connecting the top 25 collaborators of M. Morgante. A scholar is included among the top collaborators of M. Morgante 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 M. Morgante. M. Morgante 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.
2.
Mazzotta, Elisa, et al.. (2021). Milk Fatty Acids as Biomarkers of Metabolic Diseases in Dairy Cows identified through Thin Layer Chromatography and Gas Chromatographic Techniques (TLC-GC). Large animals review. 27(4). 187–193. 2 indexed citations
3.
4.
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
5.
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
6.
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
7.
Bobbo, Tania, Enrico Fiore, Matteo Gianesella, et al.. (2017). Variation in blood serum proteins and association with somatic cell count in dairy cattle from multi-breed herds. animal. 11(12). 2309–2319. 59 indexed citations
8.
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
9.
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
10.
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
11.
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
12.
Ladu, Mara, Daniela Sanna, C. Stelletta, et al.. (2011). Good quality sheep embryos produced by superovulation treatment without the use of progesterone devices. Theriogenology. 75(9). 1661–1668. 17 indexed citations
13.
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
14.
Gianesella, Matteo, et al.. (2010). Effect of an unbalanced Ca/P diet on blood parameters and urolithiasis in growing calves.. Research Padua Archive (University of Padua). 32–36. 2 indexed citations
15.
Morgante, M. & Giorgio Vallortígara. (2009). Animal welfare: neuro-cognitive approaches. Italian Journal of Animal Science. 8(sup1). 255–264. 10 indexed citations
16.
Zotti, Alessandro, et al.. (2009). ORIGINAL ARTICLE: Physiological values and factors affecting the metacarpal bone density of healthy feedlot beef cattle as measured by dual-energy X-ray absorptiometry. Journal of Animal Physiology and Animal Nutrition. 94(5). 615–622. 7 indexed citations
17.
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
18.
Petterino, Claudio, et al.. (2007). Clinical Pathological Findings in an Owl (Athene noctua) with Microfilaraemia in Italy. Journal of Veterinary Medicine Series A. 54(3). 128–130. 3 indexed citations
19.
Zotti, Alessandro, Paolo Selleri, Paolo Carnier, M. Morgante, & Daniele Bernardini. (2004). Relationship between metabolic bone disease and bone mineral density measured by dual‐energy X‐ray absorptiometry in the green iguana (Iguana iguana). Veterinary Radiology & Ultrasound. 45(1). 10–16. 17 indexed citations
20.
Cuteri, Vincenzo, et al.. (2001). Detection of antibodies against Rhodococcus equi in Alpaca (Lama pacos) in Italy. European Journal of Epidemiology. 17(11). 1043–1045. 4 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

Breakdown of academic impact, for papers by Matteo Gianesella Breakdown of academic impact, for papers by Margit Kulcsár Breakdown of academic impact, for papers by M. Quinton Breakdown of academic impact, for papers by Mark McGee Breakdown of academic impact, for papers by J.L. Burton Breakdown of academic impact, for papers by Jürg W. Blum Breakdown of academic impact, for papers by Lorenzo E. Hernández-Castellano Breakdown of academic impact, for papers by Shiro Kushibiki Breakdown of academic impact, for papers by Tai‐Young Hur Breakdown of academic impact, for papers by A. A. K. Salama
Rankless by CCL
2026