Silvia Manfrini
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Physiology top 5%
- Genetics top 5%
- Molecular Biology
- Co-authors
- Paolo PozzilliAndrea PalermoNicola NapoliMikiko WatanabeDario TuccinardiLuca D’OnofrioErnesto MaddaloniLucio Gnessi
- Topics
- Diabetes and associated disorders (25 papers)Diabetes Management and Research (19 papers)Thyroid and Parathyroid Surgery (15 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Silvia Manfrini
99 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Endocrinology, Diabetes and Metabolism 1.2k
- Surgery 964
- Physiology 733
- Genetics 637
- Molecular Biology 481
Countries citing papers authored by Silvia Manfrini
This map shows the geographic impact of Silvia Manfrini'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 Manfrini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Manfrini more than expected).
Fields of papers citing papers by Silvia Manfrini
This network shows the impact of papers produced by Silvia Manfrini. 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 Manfrini. The network helps show where Silvia Manfrini may publish in the future.
Co-authorship network of co-authors of Silvia Manfrini
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Manfrini. A scholar is included among the top collaborators of Silvia Manfrini 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 Manfrini. Silvia Manfrini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 32 | |
| 5 | 20 | |
| 6 | 13 | |
| 7 | 28 | |
| 8 | Central obesity, smoking habit, and hypertension are associated with lower antibody titres in response to COVID‐19 mRNA vaccinebreakdown → | 190 |
| 9 | 43 | |
| 10 | 10 | |
| 11 | 49 | |
| 12 | 23 | |
| 13 | 58 | |
| 14 | 121 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | Effect of calcitriol on bone metabolism in adolescents with type 1 diabetes | 0 |
| 18 | 12 | |
| 19 | 25 | |
| 20 | 22 |
About Silvia Manfrini
Silvia Manfrini is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Orthopedics and Sports Medicine, having authored 104 papers that have together received 3.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (25 papers), Diabetes Management and Research (19 papers) and Thyroid and Parathyroid Surgery (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Orthopedics and Sports Medicine (366 citations) and Nephrology (280 citations). Silvia Manfrini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Paolo Pozzilli, Andrea Palermo, Nicola Napoli, Mikiko Watanabe, Dario Tuccinardi, Luca D’Onofrio, Ernesto Maddaloni, Lucio Gnessi, Roberto Cesareo and Renata Risi. Their work appears in journals such as PLoS ONE, Analytical Chemistry 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.