Carlo Giorda
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 5%
- Surgery top 5%
- Nephrology top 1%
- Co-authors
- Giuseppina RussoSalvatore De CosmoAntonio NicolucciElisa NadaFrancesca ViazziRoberto PontremoliPietro GuidaAntonio Ceriello
- Topics
- Diabetes Treatment and Management (48 papers)Diabetes Management and Research (33 papers)Metabolism, Diabetes, and Cancer (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ItalySpainUnited States
In The Last Decade
Carlo Giorda
114 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 113
- Endocrinology, Diabetes and Metabolism 1.9k
- Cardiology and Cardiovascular Medicine 687
- Epidemiology 612
- Surgery 606
- Nephrology 543
Countries citing papers authored by Carlo Giorda
This map shows the geographic impact of Carlo Giorda'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 Carlo Giorda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Giorda more than expected).
Fields of papers citing papers by Carlo Giorda
This network shows the impact of papers produced by Carlo Giorda. 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 Carlo Giorda. The network helps show where Carlo Giorda may publish in the future.
Co-authorship network of co-authors of Carlo Giorda
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Giorda. A scholar is included among the top collaborators of Carlo Giorda 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 Carlo Giorda. Carlo Giorda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 21 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 30 | |
| 9 | 18 | |
| 10 | 36 | |
| 11 | 27 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 39 | |
| 15 | 11 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | The IMPROVE study--a multinational, multicentre, observational study in type 2 diabetes: results from the Italian cohort. | 4 |
| 19 | 24 | |
| 20 | 8 |
About Carlo Giorda
Carlo Giorda is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Cardiology and Cardiovascular Medicine, having authored 117 papers that have together received 3.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (48 papers), Diabetes Management and Research (33 papers) and Metabolism, Diabetes, and Cancer (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Nephrology (543 citations) and Cardiology and Cardiovascular Medicine (687 citations). Carlo Giorda has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Giuseppina Russo, Salvatore De Cosmo, Antonio Nicolucci, Elisa Nada, Francesca Viazzi, Roberto Pontremoli, Pietro Guida, Antonio Ceriello, Domenico Cucinotta and Roberto Gnavi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.