Alessandro Sartório
- Physiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Public Health, Environmental and Occupational Health top 1%
- Orthopedics and Sports Medicine top 0.5%
- Genetics top 2%
- Co-authors
- Fiorenza AgostiClaudio L. LafortunaAlessandra De ColStefano LazzerG. FagliaNicola A. MaffiulettiGraziano GrugniGiorgio Bedogni
- Topics
- Growth Hormone and Insulin-like Growth Factors (72 papers)Genetic Syndromes and Imprinting (46 papers)Obesity, Physical Activity, Diet (43 papers)
In The Last Decade
Alessandro Sartório
355 papers receiving 7.0k citations
Peers
Comparison fields: 5 of 164
- Physiology 2.2k
- Endocrinology, Diabetes and Metabolism 1.8k
- Public Health, Environmental and Occupational Health 1.1k
- Orthopedics and Sports Medicine 1.0k
- Genetics 947
Countries citing papers authored by Alessandro Sartório
This map shows the geographic impact of Alessandro Sartório'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 Alessandro Sartório with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Sartório more than expected).
Fields of papers citing papers by Alessandro Sartório
This network shows the impact of papers produced by Alessandro Sartório. 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 Alessandro Sartório. The network helps show where Alessandro Sartório may publish in the future.
Co-authorship network of co-authors of Alessandro Sartório
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Sartório. A scholar is included among the top collaborators of Alessandro Sartório 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 Alessandro Sartório. Alessandro Sartório is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 38 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 31 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 24 | |
| 19 | Prevalence of inactivating TSH receptor (TSHR) mutations in a large series of pediatric subjects with non-autoimmune mild hyper-thyrotropinemia (hyperTSH) | 2 |
| 20 | Prediction of resting energy expenditure in severly obese Italian women | 27 |
About Alessandro Sartório
Alessandro Sartório is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Physiology, having authored 370 papers that have together received 7.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (72 papers), Genetic Syndromes and Imprinting (46 papers) and Obesity, Physical Activity, Diet (43 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.0k citations), Endocrinology, Diabetes and Metabolism (1.8k citations) and Physiology (2.2k citations). Alessandro Sartório has collaborated with scholars based in Italy, France and Brazil. Frequent co-authors include Fiorenza Agosti, Claudio L. Lafortuna, Alessandra De Col, Stefano Lazzer, G. Faglia, Nicola A. Maffiuletti, Graziano Grugni, Giorgio Bedogni, Antonello E. Rigamonti and Nicoletta Marazzi. Their work appears in journals such as PLoS ONE, NeuroImage and The Journal of Clinical Endocrinology & Metabolism.
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.