F. Fraioli
- Cellular and Molecular Neuroscience top 5%
- Reproductive Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology top 10%
- Co-authors
- Andrea FabbriCostanzo MorettiLucio GnessiMaria DufauJohannes D. VeldhuisAndrea M. IsidoriF CrescenziAlan D. Rogol
- Topics
- Neuropeptides and Animal Physiology (14 papers)Hormonal and reproductive studies (10 papers)Sperm and Testicular Function (6 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
F. Fraioli
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 449
- Reproductive Medicine 387
- Endocrinology, Diabetes and Metabolism 353
- Molecular Biology 278
- Physiology 241
Countries citing papers authored by F. Fraioli
This map shows the geographic impact of F. Fraioli'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. Fraioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Fraioli more than expected).
Fields of papers citing papers by F. Fraioli
This network shows the impact of papers produced by F. Fraioli. 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. Fraioli. The network helps show where F. Fraioli may publish in the future.
Co-authorship network of co-authors of F. Fraioli
This figure shows the co-authorship network connecting the top 25 collaborators of F. Fraioli. A scholar is included among the top collaborators of F. Fraioli 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. Fraioli. F. Fraioli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Hormonal regulation of bicarbonate secretion in the biliary epithelium. | 12 |
| 2 | 1 | |
| 3 | 104 | |
| 4 | 8 | |
| 5 | 52 | |
| 6 | 1 | |
| 7 | 111 | |
| 8 | 17 | |
| 9 | 48 | |
| 10 | 5 | |
| 11 | 11 | |
| 12 | 79 | |
| 13 | Receptors for insulin and insulin-like growth factors in disease. | 3 |
| 14 | 5 | |
| 15 | Double spermatozoa in a hyperprolactinemic man | 8 |
| 16 | [Effect of short-term administration of LH-HR in male infertility on hormonal and seminal parameters]. | 1 |
| 17 | 93 | |
| 18 | 1 | |
| 19 | Autoradiographic and spectrometric studies on the localization of 125 I labelled HCG, HLH and FSH in immature rats. | 2 |
| 20 | [Radioimmunoassay of gonadotropins]. | 1 |
About F. Fraioli
F. Fraioli is a scholar working on Reproductive Medicine, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Hormonal and reproductive studies (10 papers) and Sperm and Testicular Function (6 papers). The work is most often cited by research in Behavioral Neuroscience (179 citations), Reproductive Medicine (387 citations) and Cellular and Molecular Neuroscience (449 citations). F. Fraioli has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Andrea Fabbri, Costanzo Moretti, Lucio Gnessi, Maria Dufau, Johannes D. Veldhuis, Andrea M. Isidori, F Crescenzi, Alan D. Rogol, Candace B. Pert and P. Fioretti. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and Gastroenterology.
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.