Chiara Saponaro
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Molecular Biology
- Surgery
- Co-authors
- Amalia GastaldelliMelania GagginiFabrizia CarliCaroline BonnerFrançois PattouGian Paolo CavigliaChiara RossoBart Staels
- Topics
- Liver Disease Diagnosis and Treatment (12 papers)Pancreatic function and diabetes (9 papers)Diabetes Treatment and Management (6 papers)
- Journals
- HepatologyCell MetabolismDiabetes
In The Last Decade
Chiara Saponaro
24 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Epidemiology 433
- Endocrinology, Diabetes and Metabolism 375
- Physiology 322
- Molecular Biology 250
- Surgery 204
Countries citing papers authored by Chiara Saponaro
This map shows the geographic impact of Chiara Saponaro'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 Chiara Saponaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Saponaro more than expected).
Fields of papers citing papers by Chiara Saponaro
This network shows the impact of papers produced by Chiara Saponaro. 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 Chiara Saponaro. The network helps show where Chiara Saponaro may publish in the future.
Co-authorship network of co-authors of Chiara Saponaro
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Saponaro. A scholar is included among the top collaborators of Chiara Saponaro 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 Chiara Saponaro. Chiara Saponaro 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 | 9 | |
| 3 | 0 | |
| 4 | 64 | |
| 5 | 3 | |
| 6 | 74 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 42 | |
| 10 | 25 | |
| 11 | Cardiometabolic risk and subclinical vascular damage assessment in idiopathic inflammatory myopathies: a challenge for the clinician. | 7 |
| 12 | 15 | |
| 13 | 32 | |
| 14 | 64 | |
| 15 | 1 | |
| 16 | 45 | |
| 17 | 106 | |
| 18 | The Subtle Balance between Lipolysis and Lipogenesis: A Critical Point in Metabolic Homeostasisbreakdown → | 404 |
| 19 | 19 | |
| 20 | 39 |
About Chiara Saponaro
Chiara Saponaro is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Pancreatic function and diabetes (9 papers) and Diabetes Treatment and Management (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (375 citations), Epidemiology (433 citations) and Physiology (322 citations). Chiara Saponaro has collaborated with scholars based in Italy, France and Denmark. Frequent co-authors include Amalia Gastaldelli, Melania Gaggini, Fabrizia Carli, Caroline Bonner, François Pattou, Gian Paolo Caviglia, Chiara Rosso, Bart Staels, Elisabetta Bugianesi and E. Buzzigoli. Their work appears in journals such as Hepatology, Cell Metabolism and Diabetes.
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.