S. Einaudi
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Molecular Biology
- Neurology
- Pediatrics, Perinatology and Child Health
- Co-authors
- Andrea CorriasMaría Andreo GaleraC. De SanctisPatrizia MatarazzoClaudia BondoneLuisa De SanctisLorenzo GenitoriGianni Bona
- Topics
- Growth Hormone and Insulin-like Growth Factors (5 papers)Sexual Differentiation and Disorders (5 papers)Metabolism and Genetic Disorders (3 papers)
- Partner nations
- Italy
In The Last Decade
S. Einaudi
14 papers receiving 308 citations
Peers
Comparison fields: 5 of 55
- Endocrinology, Diabetes and Metabolism 220
- Surgery 97
- Molecular Biology 73
- Neurology 55
- Pediatrics, Perinatology and Child Health 43
Countries citing papers authored by S. Einaudi
This map shows the geographic impact of S. Einaudi'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 S. Einaudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Einaudi more than expected).
Fields of papers citing papers by S. Einaudi
This network shows the impact of papers produced by S. Einaudi. 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 S. Einaudi. The network helps show where S. Einaudi may publish in the future.
Co-authorship network of co-authors of S. Einaudi
This figure shows the co-authorship network connecting the top 25 collaborators of S. Einaudi. A scholar is included among the top collaborators of S. Einaudi 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 S. Einaudi. S. Einaudi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 77 | |
| 7 | 12 | |
| 8 | Final height in congenital adrenal hyperplasia due to 21-hydroxylase deficiency: the Italian experience. | 19 |
| 9 | 98 | |
| 10 | 13 | |
| 11 | T426I a new mutation in the thyroid hormone receptor beta gene in a sporadic patient with resistance to thyroid hormone and dysmorphism. Mutations in brief no. 192. Online. | 11 |
| 12 | 15 | |
| 13 | Auxological and biochemical parameters in assessing treatment of infants and toddlers with congenital adrenal hyperplasia due to 21-hydroxylase deficiency. | 19 |
| 14 | [The glucose-6-phosphate dehydrogenase/6-phosphogluconate dehydrogenase ratio in the identification of glucose-6-phosphate dehydrogenase heterozygosity]. | 2 |
About S. Einaudi
S. Einaudi is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Reproductive Medicine, having authored 14 papers that have together received 317 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Sexual Differentiation and Disorders (5 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (220 citations), Clinical Biochemistry (34 citations) and Neurology (55 citations). S. Einaudi has collaborated with scholars based in Italy. Frequent co-authors include Andrea Corrias, María Andreo Galera, C. De Sanctis, Patrizia Matarazzo, Claudia Bondone, Luisa De Sanctis, Lorenzo Genitori, Gianni Bona, Flavio Giordano and Giorgio Ivani. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Osteoporosis International and Pituitary.
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.