F Sciarra

1.1k citations
63 papers · 923 · h-index 20

Impact in

Papers in

F Sciarra

53 papers receiving 835 citations

Peers

F Sciarra
Comparison fields: 5 of 85
  • Urology 163
  • Endocrinology, Diabetes and Metabolism 403
  • Reproductive Medicine 193
  • Pulmonary and Respiratory Medicine 191
  • Genetics 134
Replace Wells E. Farnsworth with:
Wells E. Farnsworth United States
Peter Ekman Sweden
Elena Maneschi Italy
L. Seethalakshmi United States
Hosea F. S. Huang United States
J. Tamm Germany
Maryam Razzaghy‐Azar Iran
Ognjen Kraus Croatia
S. E. Inkster United States
L. Schenkel Switzerland
F Sciarra relative to Wells E. Farnsworth United States Wells E. Farnsworth's profile →
Citations per field
00.5×
Wells E. Farnsworth · 1×
Citations per year

Countries citing papers authored by F Sciarra

Since Specialization
Citations

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

Fields of papers citing papers by F Sciarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F Sciarra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F Sciarra Line = papers co-authored together F Sciarra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199287
2
Insulin-like growth factor (IGF)-I, IGF-II and IGF type I receptor (IGFR-I) expression in prostatic cancer.
200478
3 199256
4 197836
5 200136
6 199835
7 197335
8 199331
9 198230
10 199530
11 199030
12 198130
13 198529
14 199826
15 198325
16 198924
17 197622
18
Change in cardiovascular risk factors during a 10-year community intervention program.
199721
19 199220
20 197219

About F Sciarra

F Sciarra is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Pulmonary and Respiratory Medicine, Molecular Biology and Urology, having authored 63 papers that have together received 923 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (34 papers), Prostate Cancer Treatment and Research (12 papers), Sexual Differentiation and Disorders (9 papers), Hormonal Regulation and Hypertension (9 papers), Ovarian function and disorders (8 papers), Urinary Bladder and Prostate Research (7 papers), Estrogen and related hormone effects (6 papers) and Sperm and Testicular Function (5 papers). The work is most often cited by research in Urology (163 citations), Endocrinology, Diabetes and Metabolism (403 citations), Reproductive Medicine (193 citations), Pulmonary and Respiratory Medicine (191 citations) and Genetics (134 citations). F Sciarra has collaborated with scholars based in Italy, Belgium and Russia. Frequent co-authors include F. Di Silverio, Vincenzo Toscano, Salvatore Monti, G Concolino, G D'Eramo, Carla Lubrano, Elisa Petrangeli, Eleonora Palma, R Balducci and C Conti. Their work appears in journals such as Clinical Endocrinology, The Journal of Steroid Biochemistry and Molecular Biology, The Journal of Clinical Endocrinology & Metabolism, Steroids and Obstetrical & Gynecological Survey.

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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