Valeria Giancotti

31 total papers · 727 total citations
20 papers, 618 citations indexed

About

Valeria Giancotti is a scholar working on Pollution, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Valeria Giancotti has authored 20 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pollution, 5 papers in Nutrition and Dietetics and 4 papers in Molecular Biology. Recurrent topics in Valeria Giancotti's work include Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Meat and Animal Product Quality (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). Valeria Giancotti is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Meat and Animal Product Quality (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). Valeria Giancotti collaborates with scholars based in Italy and Belarus. Valeria Giancotti's co-authors include Claudio Medana, Claudio Baiocchi, Paola Calza, Sonja Visentin, Federica Dal Bello, Pier Giorgio Peiretti, Daniela Gastaldi, Giorgia Meineri, Riccardo Aigotti and Elisa Padovano and has published in prestigious journals such as The Science of The Total Environment, Food Chemistry and International Journal of Obesity.

In The Last Decade

Valeria Giancotti

19 papers receiving 602 citations

Author Peers

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

Author						Papers	Cites
Valeria Giancotti	170	114	104	94	89	20	618
Sofía Ródenas de la Rocha	63 0.4×	162 1.4×	100 1.0×	65 0.7×	36 0.4×	21	606
Corine Delteil	118 0.7×	59 0.5×	94 0.9×	22 0.2×	61 0.7×	12	618
Daria Juretić	120 0.7×	43 0.4×	70 0.7×	61 0.6×	15 0.2×	24	686
Richard Palavinskas	176 1.0×	67 0.6×	88 0.8×	13 0.1×	16 0.2×	26	696
Yahya R. Tahboub	59 0.3×	30 0.3×	68 0.7×	25 0.3×	43 0.5×	27	601
Miren Gómez‐Juaristi	52 0.3×	96 0.8×	100 1.0×	18 0.2×	38 0.4×	14	516
Valentina Santoro	46 0.3×	29 0.3×	167 1.6×	36 0.4×	28 0.3×	48	685
María Dolores Hernández‐Navarro	102 0.6×	98 0.9×	85 0.8×	13 0.1×	22 0.2×	27	670
Erhu Li	47 0.3×	67 0.6×	149 1.4×	21 0.2×	28 0.3×	26	582
Giovanni Bartolomeo	73 0.4×	93 0.8×	100 1.0×	12 0.1×	21 0.2×	33	687

Countries citing papers authored by Valeria Giancotti

Since Specialization

Citations

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

Fields of papers citing papers by Valeria Giancotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Giancotti

This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Giancotti. A scholar is included among the top collaborators of Valeria Giancotti 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 Valeria Giancotti. Valeria Giancotti 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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