G Saggese
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Genetics top 10%
- Reproductive Medicine top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Gi BaroncelliSilvano BertelloniFrancesco MassartSara BarsantiG PerriG CesarettiGiovanni FedericoAnna Rossi
- Topics
- Growth Hormone and Insulin-like Growth Factors (13 papers)Sexual Differentiation and Disorders (7 papers)Hypothalamic control of reproductive hormones (6 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
G Saggese
32 papers receiving 785 citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 384
- Molecular Biology 228
- Genetics 182
- Reproductive Medicine 139
- Pediatrics, Perinatology and Child Health 127
Countries citing papers authored by G Saggese
This map shows the geographic impact of G Saggese'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 G Saggese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Saggese more than expected).
Fields of papers citing papers by G Saggese
This network shows the impact of papers produced by G Saggese. 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 G Saggese. The network helps show where G Saggese may publish in the future.
Co-authorship network of co-authors of G Saggese
This figure shows the co-authorship network connecting the top 25 collaborators of G Saggese. A scholar is included among the top collaborators of G Saggese 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 G Saggese. G Saggese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Childhood growth hormone deficiency (GHD) and idiopathic short stature (ISS): how far can a consensus go? | 1 |
| 3 | 9 | |
| 4 | 42 | |
| 5 | 14 | |
| 6 | 32 | |
| 7 | 81 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 43 | |
| 11 | 8 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | 31 | |
| 19 | 24 | |
| 20 | [Normal levels of 25-hydroxycholecalciferol in childhood. First Italian data]. | 1 |
About G Saggese
G Saggese is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Orthopedics and Sports Medicine, having authored 32 papers that have together received 816 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Sexual Differentiation and Disorders (7 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (384 citations), Reproductive Medicine (139 citations) and Orthopedics and Sports Medicine (108 citations). G Saggese has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gi Baroncelli, Silvano Bertelloni, Francesco Massart, Sara Barsanti, G Perri, G Cesaretti, Giovanni Federico, Anna Rossi, Toshiaki Tanaka and MB Ranke. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and Clinical Chemistry.
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.