C Scandellari
- Reproductive Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Genetics top 10%
- Surgery
- Co-authors
- Carlo ForestaGiovanni FederspilNicola SicoloClaudio CobelliAnne-Marie SalvanGiovanni PaciniGiovanni ScanelliMarco Stella
- Topics
- Sperm and Testicular Function (10 papers)Diet and metabolism studies (8 papers)Hormonal and reproductive studies (8 papers)
- Partner nations
- Italy
In The Last Decade
C Scandellari
62 papers receiving 790 citations
Peers
Comparison fields: 5 of 91
- Reproductive Medicine 300
- Endocrinology, Diabetes and Metabolism 282
- Molecular Biology 229
- Genetics 229
- Surgery 189
Countries citing papers authored by C Scandellari
This map shows the geographic impact of C Scandellari'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 C Scandellari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Scandellari more than expected).
Fields of papers citing papers by C Scandellari
This network shows the impact of papers produced by C Scandellari. 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 C Scandellari. The network helps show where C Scandellari may publish in the future.
Co-authorship network of co-authors of C Scandellari
This figure shows the co-authorship network connecting the top 25 collaborators of C Scandellari. A scholar is included among the top collaborators of C Scandellari 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 C Scandellari. C Scandellari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A possible link between genetic hemochromatosis and autoimmune thyroiditis. | 5 |
| 2 | 10 | |
| 3 | 19 | |
| 4 | 94 | |
| 5 | 5 | |
| 6 | INCREASED MUSCULAR PHOSPHOLIPASE-A2 ACTIVITY IN DIABETIC RATS | 7 |
| 7 | 95 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 35 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 22 | |
| 17 | Spontaneous fasting hypoglycemia: basal levels of plasma free fatty acids and glycerol, blood ketone bodies, serum cholesterol and plasma growth hormone. | 3 |
| 18 | [The thyroid gland and phospho-calcic metabolism. 3. Preliminary studies on some aspects of the metabolism of calcium and phosphorus during administration of thyrocalcitonin in man]. | 0 |
| 19 | [Toxic adenoma of the thyroid gland. Study of 160 cases and review of the literature]. | 1 |
| 20 | [IRON KINETICS IN LEAD POISONING IN HUMANS]. | 1 |
About C Scandellari
C Scandellari is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 67 papers that have together received 834 indexed citations. Recurring topics across this work include Sperm and Testicular Function (10 papers), Diet and metabolism studies (8 papers) and Hormonal and reproductive studies (8 papers). The work is most often cited by research in Reproductive Medicine (300 citations), Endocrinology, Diabetes and Metabolism (282 citations) and Genetics (229 citations). C Scandellari has collaborated with scholars based in Italy. Frequent co-authors include Carlo Foresta, Giovanni Federspil, Nicola Sicolo, Claudio Cobelli, Anne-Marie Salvan, Giovanni Pacini, Giovanni Scanelli, Marco Stella, Andrea Bettella and G. Erle. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Diabetologia.
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.