C. De Medici
- Endocrine and Autonomic Systems top 2%
- Physiology top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics
- Co-authors
- Antonio LiuzziAlessandro MinocciMariantonella TagliaferriG SaviaMaria Letizia PetroniGianluca AimarettiA. Di BlasioPaolo Marzullo
- Topics
- Regulation of Appetite and Obesity (5 papers)Genetic Syndromes and Imprinting (2 papers)Adipokines, Inflammation, and Metabolic Diseases (2 papers)
- Cited by
- Endocrine and Autonomic SystemsEndocrinology, Diabetes and MetabolismPharmaceutical Science
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of ObesityClinical Endocrinology
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
C. De Medici
12 papers receiving 698 citations
Peers
Comparison fields: 5 of 80
- Endocrine and Autonomic Systems 286
- Physiology 228
- Epidemiology 220
- Endocrinology, Diabetes and Metabolism 206
- Genetics 124
Countries citing papers authored by C. De Medici
This map shows the geographic impact of C. De Medici'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. De Medici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. De Medici more than expected).
Fields of papers citing papers by C. De Medici
This network shows the impact of papers produced by C. De Medici. 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. De Medici. The network helps show where C. De Medici may publish in the future.
Co-authorship network of co-authors of C. De Medici
This figure shows the co-authorship network connecting the top 25 collaborators of C. De Medici. A scholar is included among the top collaborators of C. De Medici 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. De Medici. C. De Medici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 41 | |
| 3 | 182 | |
| 4 | 88 | |
| 5 | 150 | |
| 6 | 40 | |
| 7 | 127 | |
| 8 | [Impaired glucose tolerance in obesity in children and adolescents]. | 1 |
| 9 | [No correlation between insulinemic levels and arterial hypertension in obese females]. | 2 |
| 10 | 28 | |
| 11 | 33 | |
| 12 | 14 |
About C. De Medici
C. De Medici is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Immunology and Allergy, having authored 12 papers that have together received 738 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (5 papers), Genetic Syndromes and Imprinting (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (286 citations), Endocrinology, Diabetes and Metabolism (206 citations) and Pharmaceutical Science (60 citations). C. De Medici has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Antonio Liuzzi, Alessandro Minocci, Mariantonella Tagliaferri, G Savia, Maria Letizia Petroni, Gianluca Aimaretti, A. Di Blasio, Paolo Marzullo, G Guzzaloni and F. Fraschini. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Obesity and Clinical Endocrinology.
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.