F Sciarra

1.1k citations
58 papers · 873 indexed · h-index 19

Impact in

Papers in

F Sciarra

53 papers receiving 804 citations

Peers

F Sciarra
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 458
  • Urology 169
  • Reproductive Medicine 211
  • Pulmonary and Respiratory Medicine 228
  • Genetics 144
Replace Hosea F. S. Huang with:
Hosea F. S. Huang United States
L. Seethalakshmi United States
Maryam Razzaghy‐Azar Iran
Andrea Repaci Italy
Miryam Asunción Spain
Ognjen Kraus Croatia
Tao Tao China
Mahmoud N. Ghazzi United States
Jie Qiao China
Dongzi Yang China
F Sciarra relative to Hosea F. S. Huang United States Hosea F. S. Huang's profile →
Citations per field
00.5×4.9×
Hosea F. S. Huang · 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199282
2
Insulin-like growth factor (IGF)-I, IGF-II and IGF type I receptor (IGFR-I) expression in prostatic cancer.
200376
3 199254
4 199833
5 200133
6 197333
7 199331
8 198130
9 199529
10 199028
11 197828
12 198227
13 198527
14 199824
15 198324
16 198922
17 197621
18
Change in cardiovascular risk factors during a 10-year community intervention program.
199721
19 199219
20 197218

About F Sciarra

F Sciarra is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Urology, Behavioral Neuroscience and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 873 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (31 papers), Prostate Cancer Treatment and Research (12 papers), Sexual Differentiation and Disorders (9 papers), Ovarian function and disorders (8 papers), Urinary Bladder and Prostate Research (7 papers), Hormonal Regulation and Hypertension (7 papers), Estrogen and related hormone effects (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (458 citations), Urology (169 citations), Reproductive Medicine (211 citations), Pulmonary and Respiratory Medicine (228 citations) and Genetics (144 citations). F Sciarra has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include F. Di Silverio, Vincenzo Toscano, Salvatore Monti, G D'Eramo, G Concolino, Elisa Petrangeli, Carla Lubrano, Eleonora Palma, R Balducci and C Conti. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Steroids, The Journal of Steroid Biochemistry and Molecular Biology 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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