Virginia Pavone

13 total papers · 667 total citations
13 papers, 537 citations indexed

About

Virginia Pavone is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Virginia Pavone has authored 13 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Reproductive Medicine, 7 papers in Public Health, Environmental and Occupational Health and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Virginia Pavone's work include Ovarian function and disorders (12 papers), Reproductive Biology and Fertility (6 papers) and Stress Responses and Cortisol (3 papers). Virginia Pavone is often cited by papers focused on Ovarian function and disorders (12 papers), Reproductive Biology and Fertility (6 papers) and Stress Responses and Cortisol (3 papers). Virginia Pavone collaborates with scholars based in Italy, Japan and United States. Virginia Pavone's co-authors include Anna Maria Fulghesu, Antonio Lanzone, Mario Ciampelli, Alessandro Caruso, Maurizio Guido, Francesco Cucinelli, Rosanna Apa, Paola Villa, Stefano Mancuso and C. Belosi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Human Reproduction and Fertility and Sterility.

In The Last Decade

Virginia Pavone

13 papers receiving 508 citations

Author Peers

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

Author Last Decade Papers Cites
Virginia Pavone 488 300 176 85 64 13 537
L Harborne 475 1.0× 305 1.0× 181 1.0× 93 1.1× 59 0.9× 9 579
Ingvar Ek 384 0.8× 253 0.8× 114 0.6× 112 1.3× 28 0.4× 11 513
Frangiskos Economou 351 0.7× 223 0.7× 174 1.0× 77 0.9× 34 0.5× 13 595
H. D. Mason 395 0.8× 343 1.1× 129 0.7× 57 0.7× 24 0.4× 12 582
Alexandra M. Manibo 263 0.5× 185 0.6× 226 1.3× 62 0.7× 43 0.7× 10 494
Jie Qiao 429 0.9× 274 0.9× 134 0.8× 36 0.4× 27 0.4× 14 607
Meri‐Maija Ollila 377 0.8× 233 0.8× 79 0.4× 82 1.0× 81 1.3× 26 483
Miriam E. Silfen 283 0.6× 207 0.7× 267 1.5× 71 0.8× 50 0.8× 12 598
Gipsie B. Ranney 402 0.8× 190 0.6× 184 1.0× 131 1.5× 34 0.5× 7 489
Francisca Eyzaguirre 296 0.6× 284 0.9× 184 1.0× 25 0.3× 71 1.1× 15 543

Countries citing papers authored by Virginia Pavone

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Pavone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Pavone

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Pavone. A scholar is included among the top collaborators of Virginia Pavone 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 Virginia Pavone. Virginia Pavone 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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2026