F. Cavagnini

73 total papers · 1.2k total citations
34 papers, 976 citations indexed

About

F. Cavagnini is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology. According to data from OpenAlex, F. Cavagnini has authored 34 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Physiology and 6 papers in Molecular Biology. Recurrent topics in F. Cavagnini's work include Growth Hormone and Insulin-like Growth Factors (12 papers), Pituitary Gland Disorders and Treatments (8 papers) and Adrenal Hormones and Disorders (6 papers). F. Cavagnini is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (12 papers), Pituitary Gland Disorders and Treatments (8 papers) and Adrenal Hormones and Disorders (6 papers). F. Cavagnini collaborates with scholars based in Italy, Chile and Belgium. F. Cavagnini's co-authors include Cecilia Invitti, Massimo Scacchi, Amelia Brunani, A. I. Pincelli, Daniela Galimberti, Elio Scarpini, Müller Ee, Antonello E. Rigamonti, Barbara Corrà and F. Pecori Giraldi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biological Psychiatry and International Journal of Obesity.

In The Last Decade

F. Cavagnini

34 papers receiving 936 citations

Author Peers

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

Author						Papers	Cites
F. Cavagnini	391	347	295	164	140	34	976
Jennifer E. Richard	323 0.8×	512 1.5×	289 1.0×	196 1.2×	131 0.9×	23	1.1k
Marina Djurovic	244 0.6×	408 1.2×	590 2.0×	214 1.3×	100 0.7×	42	1.1k
Zhi Yi Ong	281 0.7×	386 1.1×	94 0.3×	151 0.9×	66 0.5×	29	1.0k
J. Ramunni	300 0.8×	439 1.3×	703 2.4×	77 0.5×	54 0.4×	41	1.0k
Clinton Elfers	316 0.8×	184 0.5×	346 1.2×	123 0.8×	60 0.4×	34	1.0k
K Tokunaga	366 0.9×	305 0.9×	162 0.5×	155 0.9×	31 0.2×	22	950
Jonathan N. Flak	329 0.8×	459 1.3×	128 0.4×	172 1.0×	31 0.2×	24	1.1k
Jen Yu Wei	380 1.0×	501 1.4×	100 0.3×	312 1.9×	41 0.3×	31	1.1k
Thomas L. Garthwaite	309 0.8×	235 0.7×	278 0.9×	74 0.5×	42 0.3×	31	1.2k
Anna Gavrieli	291 0.7×	188 0.5×	225 0.8×	111 0.7×	121 0.9×	23	907

Countries citing papers authored by F. Cavagnini

Since Specialization

Citations

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

Fields of papers citing papers by F. Cavagnini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Cavagnini

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