Silvia Garelli
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Infectious Diseases
- Physiology
- Cancer Research
- Co-authors
- Uberto PagottoValentina VicennatiGuido Di DalmaziRenato PasqualiEleonora RinaldiElena CasadioRita GolfieriCristina Mosconi
- Topics
- Endometrial and Cervical Cancer Treatments (3 papers)Nutritional Studies and Diet (3 papers)Diet and metabolism studies (3 papers)
In The Last Decade
Silvia Garelli
18 papers receiving 605 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 404
- Surgery 325
- Infectious Diseases 66
- Physiology 56
- Cancer Research 54
Countries citing papers authored by Silvia Garelli
This map shows the geographic impact of Silvia Garelli'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 Silvia Garelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Garelli more than expected).
Fields of papers citing papers by Silvia Garelli
This network shows the impact of papers produced by Silvia Garelli. 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 Silvia Garelli. The network helps show where Silvia Garelli may publish in the future.
Co-authorship network of co-authors of Silvia Garelli
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Garelli. A scholar is included among the top collaborators of Silvia Garelli 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 Silvia Garelli. Silvia Garelli 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 26 | |
| 9 | 89 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | 11 | |
| 15 | 66 | |
| 16 | 16 | |
| 17 | Cardiovascular events and mortality in patients with adrenal incidentalomas that are either non-secreting or associated with intermediate phenotype or subclinical Cushing's syndrome: a 15-year retrospective studybreakdown → | 307 |
| 18 | Anthropometric, hormonal and nutritional correlates of epicardial fat in obese women | 2 |
| 19 | 30 |
About Silvia Garelli
Silvia Garelli is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 19 papers that have together received 613 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (3 papers), Nutritional Studies and Diet (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (404 citations), Surgery (325 citations) and Behavioral Neuroscience (23 citations). Silvia Garelli has collaborated with scholars based in Italy, Germany and Czechia. Frequent co-authors include Uberto Pagotto, Valentina Vicennati, Guido Di Dalmazi, Renato Pasquali, Eleonora Rinaldi, Elena Casadio, Rita Golfieri, Cristina Mosconi, Emanuela Giampalma and Alexandro Paccapelo. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, BMC Medicine and The Lancet Diabetes & 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.