Mina Martini

1.8k total citations
127 papers, 1.4k citations indexed

About

Mina Martini is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Food Science. According to data from OpenAlex, Mina Martini has authored 127 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Agronomy and Crop Science, 30 papers in Animal Science and Zoology and 30 papers in Food Science. Recurrent topics in Mina Martini's work include Milk Quality and Mastitis in Dairy Cows (29 papers), Animal Diversity and Health Studies (19 papers) and Fatty Acid Research and Health (18 papers). Mina Martini is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (29 papers), Animal Diversity and Health Studies (19 papers) and Fatty Acid Research and Health (18 papers). Mina Martini collaborates with scholars based in Italy, Brazil and China. Mina Martini's co-authors include Federica Salari, Iolanda Altomonte, Rosario Licitra, Francesca Cecchi, Simona Nardoni, Amanda Marília da Silva Sant’Ana, Anna Maria Caroli, Marcello Mele, Andrea Andreucci and Carlo Sorce and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Mina Martini

118 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
Mina Martini Italy 22 480 478 384 373 348 127 1.4k
Federica Salari Italy 21 402 0.8× 369 0.8× 319 0.8× 328 0.9× 300 0.9× 95 1.2k
Iolanda Altomonte Italy 20 368 0.8× 291 0.6× 269 0.7× 289 0.8× 256 0.7× 71 1.1k
Eric Pinloche United Kingdom 20 256 0.5× 947 2.0× 203 0.5× 150 0.4× 203 0.6× 30 1.5k
Paolo Polidori Italy 23 726 1.5× 285 0.6× 364 0.9× 342 0.9× 811 2.3× 88 1.8k
Annika Weber United States 15 141 0.3× 395 0.8× 98 0.3× 179 0.5× 102 0.3× 34 1.1k
J.A.Z. Leedle United States 17 214 0.4× 1.1k 2.3× 296 0.8× 149 0.4× 270 0.8× 24 1.5k
Bonnie Vecchiarelli United States 20 134 0.3× 879 1.8× 243 0.6× 126 0.3× 114 0.3× 31 1.3k
E. B. Kegley United States 27 132 0.3× 863 1.8× 246 0.6× 480 1.3× 1.1k 3.2× 137 2.3k
Gianluca Neglia Italy 32 231 0.5× 1.8k 3.8× 1.5k 3.9× 107 0.3× 754 2.2× 161 3.2k
Z. Litwińczuk Poland 20 553 1.2× 448 0.9× 383 1.0× 277 0.7× 479 1.4× 127 1.4k

Countries citing papers authored by Mina Martini

Since Specialization
Citations

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

Fields of papers citing papers by Mina Martini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mina Martini

This figure shows the co-authorship network connecting the top 25 collaborators of Mina Martini. A scholar is included among the top collaborators of Mina Martini 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 Mina Martini. Mina Martini 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.
Salari, Federica, et al.. (2025). Effectiveness of Targeted Advisory Interventions in Enhancing Welfare on Dairy Farms. Animals. 15(15). 2197–2197. 1 indexed citations
2.
Martini, Mina, Neus Sanjuán, Sergio Saia, et al.. (2024). Massese, Sarda and Lacaune Dairy Sheep Breeds: An Environmental Impact Comparison. Sustainability. 16(12). 4941–4941. 1 indexed citations
3.
Salari, Federica, et al.. (2024). Risk Categorization in On-Farm Welfare in Different-Sized Dairy Sheep Flocks. Animals. 14(10). 1401–1401. 3 indexed citations
4.
Miranda, Guy, Céline Henry, Zuzana Krupova, et al.. (2022). Top-Down proteomics based on LC-MS combined with cDNA sequencing to characterize multiple proteoforms of Amiata donkey milk proteins. Food Research International. 160. 111611–111611. 9 indexed citations
5.
Molento, Marcelo Beltrão, et al.. (2020). Intestinal Strongyle Genera in Different Typology of Donkey Farms in Tuscany, Central Italy. Veterinary Sciences. 7(4). 195–195. 5 indexed citations
6.
Martini, Mina. (2019). The Rediscovery of Donkey's Milk as Healthy Food for Different Life Stages. CINECA IRIS Institutial research information system (University of Pisa). 11(1). 87–88.
7.
Altomonte, Iolanda, Simona Nardoni, Francesca Mancianti, et al.. (2019). Preliminary results on antifungal activity of donkey milk. Large animals review. 25(5). 179–181. 6 indexed citations
8.
Mattiello, Silvana, Mariangela Caroprese, G. M. Crovetto, et al.. (2017). Typical dairy products in Africa from local animal resources. Italian Journal of Animal Science. 17(3). 740–754. 28 indexed citations
9.
Mattiello, Silvana, Mariangela Caroprese, G. M. Crovetto, et al.. (2017). Typical edible non-dairy animal products in Africa from local animal resources. Italian Journal of Animal Science. 17(1). 202–217. 5 indexed citations
10.
Martini, Mina, et al.. (2016). Influence of fat content on quality of cow's milk. Italian Journal of Food Science. 29(1). 138–144. 2 indexed citations
11.
Martini, Mina, et al.. (2011). Milk fat globules in different dairy cattle breeds Part II: relationship to fatty acid composition. SHILAP Revista de lepidopterología.
12.
Martini, Mina, et al.. (2009). Goat milk: morphometric characteristics of milk fat globules.. 60(1). 31–35. 2 indexed citations
13.
Martini, Mina, et al.. (2006). Relationship between fat globule size and chemical and fatty acid composition of cow's milk in mid lactation. SHILAP Revista de lepidopterología. 5 indexed citations
14.
Martini, Mina, et al.. (2006). Different fatty acids composition of fat globule core and membrane in ewe's milk. Milk science international/Milchwissenschaft. 61(4). 397–400. 4 indexed citations
15.
Bianchi, Leonardo, C. Casoli, Francesca Cecchi, et al.. (2004). Preliminary study on Sopravissana sheep milk production. 55(5). 319–343. 2 indexed citations
16.
Cecchi, Francesca, Mina Martini, & Federica Salari. (2003). The repeatability of morphometric characteristics of milk fat globules from Massese ewes during lactation. Milk science international/Milchwissenschaft. 60(4). 386–388. 1 indexed citations
17.
Martini, Mina, et al.. (2003). A method for identification and characterization of ewe's milk fat globules. Milk science international/Milchwissenschaft. 58. 490–493. 22 indexed citations
18.
Cecchi, Francesca, et al.. (1998). Chemical composition and coagulation properties of the Massese sheep milk. CINECA IRIS Institutial research information system (University of Pisa). 1(128). 204–211. 1 indexed citations
19.
Martini, Mina, et al.. (1994). Valutazione morfologica della mammella nella razza ovina Massese. Risultati preliminari.. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
20.
Martini, Mina, et al.. (1991). Utilizzazione del Monensin sodium per la produzione di agnelli di 105 giorni: rilievi post-mortem.. CINECA IRIS Institutial research information system (University of Pisa). 1861–1865. 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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