G. Barbieri

48 total papers · 485 total citations
21 papers, 343 citations indexed

About

G. Barbieri is a scholar working on Animal Science and Zoology, Molecular Biology and Food Science. According to data from OpenAlex, G. Barbieri has authored 21 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Animal Science and Zoology, 5 papers in Molecular Biology and 5 papers in Food Science. Recurrent topics in G. Barbieri's work include Meat and Animal Product Quality (9 papers), Advanced Chemical Sensor Technologies (4 papers) and Milk Quality and Mastitis in Dairy Cows (3 papers). G. Barbieri is often cited by papers focused on Meat and Animal Product Quality (9 papers), Advanced Chemical Sensor Technologies (4 papers) and Milk Quality and Mastitis in Dairy Cows (3 papers). G. Barbieri collaborates with scholars based in Italy, India and Iran. G. Barbieri's co-authors include Maria Careri, Enayat Berizi, Saeid Hosseinzadeh, Seyed Shahram Shekarforoush, M. Zannoni, Luciana Bolzoni, Cecília Whitaker Bergamini, Paola Manini, Marco Franceschini and Roberta Virgili and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Journal of Food Science.

In The Last Decade

G. Barbieri

20 papers receiving 324 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G. Barbieri	171	170	102	62	54	21	343
Magdalena Zalewska	123 0.7×	181 1.1×	55 0.5×	88 1.4×	46 0.9×	26	377
Boris Semjon	187 1.1×	117 0.7×	77 0.8×	65 1.0×	30 0.6×	31	372
Elisa Domínguez‐Hernández	189 1.1×	106 0.6×	67 0.7×	46 0.7×	43 0.8×	18	310
K. Míková	156 0.9×	228 1.3×	55 0.5×	66 1.1×	78 1.4×	15	400
Márcio Vargas‐Ramella	214 1.3×	241 1.4×	69 0.7×	49 0.8×	78 1.4×	17	398
Mouna Boulàres	101 0.6×	168 1.0×	126 1.2×	73 1.2×	63 1.2×	33	348
Xiaodong Ma	186 1.1×	73 0.4×	108 1.1×	60 1.0×	32 0.6×	23	381
Qijing Du	158 0.9×	182 1.1×	117 1.1×	21 0.3×	49 0.9×	35	388
Grzegorz Pogorzelski	194 1.1×	98 0.6×	50 0.5×	39 0.6×	34 0.6×	24	302
Hanne Løje	136 0.8×	98 0.6×	52 0.5×	88 1.4×	70 1.3×	19	315

Countries citing papers authored by G. Barbieri

Since Specialization

Citations

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

Fields of papers citing papers by G. Barbieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Barbieri

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

All Works

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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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