V. Bronzo

3.0k total citations
120 papers, 2.2k citations indexed

About

V. Bronzo is a scholar working on Agronomy and Crop Science, Food Science and Small Animals. According to data from OpenAlex, V. Bronzo has authored 120 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Agronomy and Crop Science, 38 papers in Food Science and 29 papers in Small Animals. Recurrent topics in V. Bronzo's work include Milk Quality and Mastitis in Dairy Cows (63 papers), Probiotics and Fermented Foods (36 papers) and Microbial infections and disease research (13 papers). V. Bronzo is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (63 papers), Probiotics and Fermented Foods (36 papers) and Microbial infections and disease research (13 papers). V. Bronzo collaborates with scholars based in Italy, United States and Brazil. V. Bronzo's co-authors include P. Moroni, Bianca Castiglioni, Alfonso Zecconi, Fabrizio Ceciliani, Paola Cremonesi, María Filippa Addis, C. Pollera, Cristina Lecchi, G. Pisoni and Renata Piccinini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

V. Bronzo

111 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Bronzo Italy 27 1.3k 661 476 474 329 120 2.2k
Alfonso Zecconi Italy 31 1.4k 1.1× 734 1.1× 348 0.7× 504 1.1× 322 1.0× 113 2.4k
Frédéric Vangroenweghe Belgium 23 640 0.5× 404 0.6× 301 0.6× 185 0.4× 310 0.9× 52 1.4k
Johann Detilleux Belgium 29 1.0k 0.8× 228 0.3× 424 0.9× 287 0.6× 281 0.9× 125 2.6k
Svetlana Lima United States 24 859 0.7× 321 0.5× 279 0.6× 850 1.8× 124 0.4× 36 2.0k
Nahum Y. Shpigel Israel 28 947 0.8× 358 0.5× 254 0.5× 407 0.9× 165 0.5× 69 2.7k
Emilia Bagnicka Poland 24 868 0.7× 444 0.7× 154 0.3× 648 1.4× 392 1.2× 147 2.3k
Ghulam Muhammad Pakistan 26 468 0.4× 312 0.5× 543 1.1× 232 0.5× 365 1.1× 157 2.4k
Hans‐Joachim Schuberth Germany 30 2.2k 1.8× 506 0.8× 499 1.0× 537 1.1× 305 0.9× 112 3.6k
P. Dubreuil Canada 29 1.1k 0.9× 220 0.3× 298 0.6× 277 0.6× 300 0.9× 61 2.2k
Rubén N. González United States 29 2.5k 2.0× 1.3k 2.0× 451 0.9× 359 0.8× 231 0.7× 56 3.3k

Countries citing papers authored by V. Bronzo

Since Specialization
Citations

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

Fields of papers citing papers by V. Bronzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Bronzo

This figure shows the co-authorship network connecting the top 25 collaborators of V. Bronzo. A scholar is included among the top collaborators of V. Bronzo 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 V. Bronzo. V. Bronzo 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.
Pecile, A., V. Bronzo, Valeria Martini, et al.. (2024). Can peri-surgical electroacupuncture relieve immunity suppression? A pilot study in dogs. The Veterinary Journal. 305. 106140–106140. 1 indexed citations
3.
Koop, Gerrit, Fabrizio Ceciliani, María Filippa Addis, et al.. (2024). Pathogen group-specific risk factors for intramammary infection in water buffalo. PLoS ONE. 19(4). e0299929–e0299929. 5 indexed citations
4.
Pollera, C., V. Bronzo, Renata Piccinini, et al.. (2024). Impact of sample refrigeration and freezing on the bacteriological counts of different bedding materials for dairy cows. BMC Veterinary Research. 20(1). 410–410.
5.
Addis, María Filippa, et al.. (2023). Non-aureus staphylococci and mammaliicocci isolated from bovine milk in Italian dairy farms: a retrospective investigation. Veterinary Research Communications. 48(1). 547–554. 7 indexed citations
6.
Groppetti, D., et al.. (2023). Cotinine as a Sentinel of Canine Exposure to Tobacco Smoke. Animals. 13(4). 693–693. 4 indexed citations
7.
Pollera, C., et al.. (2023). Effect of the Selective Dry Cow Therapy on Udder Health and Milk Microbiota. Antibiotics. 12(8). 1259–1259. 3 indexed citations
8.
9.
Pisanu, Salvatore, Carla Cacciotto, Daniela Pagnozzi, et al.. (2020). Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk. SHILAP Revista de lepidopterología. 30. 105665–105665.
10.
Barberio, A., et al.. (2019). Identification of Multidrug-Resistant Escherichia coli from Bovine Clinical Mastitis Using a Ceftiofur-Supplemented Medium. Foodborne Pathogens and Disease. 16(8). 590–596. 9 indexed citations
11.
Pisanu, Salvatore, Carla Cacciotto, Daniela Pagnozzi, et al.. (2019). Proteomic changes in the milk of water buffaloes (Bubalus bubalis) with subclinical mastitis due to intramammary infection by Staphylococcus aureus and by non-aureus staphylococci. Scientific Reports. 9(1). 15850–15850. 26 indexed citations
12.
Zaninelli, Mauro, Veronica Redaelli, F. Luzi, et al.. (2018). Development of a software algorithm working with infrared images and useful for the early detection of mastitis in dairy cows. 3 indexed citations
13.
Zaninelli, Mauro, Veronica Redaelli, F. Luzi, et al.. (2018). First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows. Sensors. 18(3). 862–862. 76 indexed citations
14.
Invernizzi, G., S. Modina, V. Bronzo, et al.. (2016). Hepatic and subcutaneous adipose tissue variations in transition dairy goats fed saturated or unsaturated fat supplemented diets. Small Ruminant Research. 144. 211–219. 7 indexed citations
15.
Savoini, G., D. Cattaneo, G. Varisco, et al.. (2011). Dietary rosemary extract in dairy goats organically managed: effects on immune response, mammary infections and milk quality. SHILAP Revista de lepidopterología. 10 indexed citations
16.
Bronzo, V., et al.. (2010). Cost of clinical mastitis in Italian herds.. Large animals review. 16(2). 93–95. 1 indexed citations
17.
Scaccabarozzi, L., Benedetta Turchetti, Pietro Buzzini, et al.. (2008). Short Communication: Isolation of Prototheca Species Strains from Environmental Sources in Dairy Herds. Journal of Dairy Science. 91(9). 3474–3477. 21 indexed citations
18.
Moroni, P., et al.. (2006). Relationships Between Somatic Cell Count and Intramammary Infection in Buffaloes. Journal of Dairy Science. 89(3). 998–1003. 103 indexed citations
19.
Zecconi, Alfonso, et al.. (2003). Effects of conventional and no pulsation milking systems on bovine teats and on immunological components of different milk fractions. Milk science international/Milchwissenschaft. 58. 355–359. 2 indexed citations
20.
Luzzago, C., Claudio Bandi, V. Bronzo, G. Ruffo, & Alfonso Zecconi. (2001). Distribution pattern of bovine viral diarrhoea virus strains in intensive cattle herds in Italy. Veterinary Microbiology. 83(3). 265–274. 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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