Federico Ponzetto

42 total papers · 560 total citations
27 papers, 431 citations indexed

About

Federico Ponzetto is a scholar working on Endocrinology, Diabetes and Metabolism, Food Science and Animal Science and Zoology. According to data from OpenAlex, Federico Ponzetto has authored 27 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Food Science and 6 papers in Animal Science and Zoology. Recurrent topics in Federico Ponzetto's work include Hormonal and reproductive studies (14 papers), Pesticide Residue Analysis and Safety (7 papers) and Hormonal Regulation and Hypertension (7 papers). Federico Ponzetto is often cited by papers focused on Hormonal and reproductive studies (14 papers), Pesticide Residue Analysis and Safety (7 papers) and Hormonal Regulation and Hypertension (7 papers). Federico Ponzetto collaborates with scholars based in Italy, Switzerland and Czechia. Federico Ponzetto's co-authors include Martial Saugy, Raul Nicoli, Serge Rudaz, Julien Boccard, N Baume, Tiia Kuuranne, Jean‐Luc Veuthey, Lucie Nováková, Davy Guillarme and Vincent Desfontaine and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Federico Ponzetto

25 papers receiving 420 citations

Author Peers

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

Author						Papers	Cites
Federico Ponzetto	278	145	91	86	63	27	431
Guro Forsdahl	216 0.8×	78 0.5×	82 0.9×	140 1.6×	92 1.5×	28	467
David J. Borts	148 0.5×	87 0.6×	31 0.3×	124 1.4×	50 0.8×	19	462
Ludovic Bailly‐Chouriberry	213 0.8×	80 0.6×	111 1.2×	170 2.0×	76 1.2×	41	416
Thomas Geisendorfer	217 0.8×	47 0.3×	59 0.6×	49 0.6×	44 0.7×	13	380
Moutian Wu	94 0.3×	139 1.0×	35 0.4×	98 1.1×	97 1.5×	18	452
Masato Okano	255 0.9×	59 0.4×	162 1.8×	55 0.6×	82 1.3×	32	381
Sun Young Baek	55 0.2×	66 0.5×	12 0.1×	114 1.3×	39 0.6×	45	475
Liming Peng	54 0.2×	172 1.2×	18 0.2×	172 2.0×	18 0.3×	27	448
Myung Ja Choi	33 0.1×	60 0.4×	21 0.2×	182 2.1×	12 0.2×	38	481
Claudia Balderas	41 0.1×	42 0.3×	11 0.1×	139 1.6×	14 0.2×	19	420

Countries citing papers authored by Federico Ponzetto

Since Specialization

Citations

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

Fields of papers citing papers by Federico Ponzetto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Ponzetto

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