Sibilla Salvadeo
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology top 10%
- Surgery top 10%
- Co-authors
- Giuseppe DerosaArrigo F.G. CiceroAngela D’AngeloIlaria FerrariAlessia GravinaLeonardina CiccarelliMario N. PiccinniPamela Maffioli
- Topics
- Diabetes Treatment and Management (22 papers)Metabolism, Diabetes, and Cancer (21 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaMetabolismBiomedicine & Pharmacotherapy
In The Last Decade
Sibilla Salvadeo
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 88
- Endocrinology, Diabetes and Metabolism 907
- Molecular Biology 618
- Cardiology and Cardiovascular Medicine 300
- Epidemiology 290
- Surgery 288
Countries citing papers authored by Sibilla Salvadeo
This map shows the geographic impact of Sibilla Salvadeo'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 Sibilla Salvadeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sibilla Salvadeo more than expected).
Fields of papers citing papers by Sibilla Salvadeo
This network shows the impact of papers produced by Sibilla Salvadeo. 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 Sibilla Salvadeo. The network helps show where Sibilla Salvadeo may publish in the future.
Co-authorship network of co-authors of Sibilla Salvadeo
This figure shows the co-authorship network connecting the top 25 collaborators of Sibilla Salvadeo. A scholar is included among the top collaborators of Sibilla Salvadeo 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 Sibilla Salvadeo. Sibilla Salvadeo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Endothelial function, blood pressure control, and risk modification: impact of irbesartan alone or in combination | 1 |
| 2 | 20 | |
| 3 | 12 | |
| 4 | 44 | |
| 5 | 21 | |
| 6 | 20 | |
| 7 | 35 | |
| 8 | 33 | |
| 9 | 21 | |
| 10 | 129 | |
| 11 | 16 | |
| 12 | 37 | |
| 13 | 56 | |
| 14 | 48 | |
| 15 | 6 | |
| 16 | 61 | |
| 17 | 72 | |
| 18 | 10 | |
| 19 | 21 | |
| 20 | 60 |
About Sibilla Salvadeo
Sibilla Salvadeo is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Cancer Research, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (22 papers), Metabolism, Diabetes, and Cancer (21 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (907 citations), Cardiology and Cardiovascular Medicine (300 citations) and Pharmacology (222 citations). Sibilla Salvadeo has collaborated with scholars based in Italy and Russia. Frequent co-authors include Giuseppe Derosa, Arrigo F.G. Cicero, Angela D’Angelo, Ilaria Ferrari, Alessia Gravina, Leonardina Ciccarelli, Mario N. Piccinni, Pamela Maffioli, Elena Fogari and Roberto Mereu. Their work appears in journals such as SHILAP Revista de lepidopterología, Metabolism and Biomedicine & Pharmacotherapy.
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.