Federica Orsini
- Physiology top 10%
- Molecular Biology
- Pharmacology
- Cellular and Molecular Neuroscience
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Bruno GiardinaMaria Elisabetta ClementiFrancesco MisitiMassimo ColettaStefano MariniBeatrice SampaoleseDaniele MezzogoriClaudio Grassi
- Topics
- Breast Lesions and Carcinomas (3 papers)Myasthenia Gravis and Thymoma (2 papers)Mitochondrial Function and Pathology (2 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsFEBS LettersEuropean Journal of Endocrinology
- Partner nations
- ItalyNetherlandsLebanon
In The Last Decade
Federica Orsini
19 papers receiving 439 citations
Peers
Comparison fields: 5 of 83
- Physiology 226
- Molecular Biology 170
- Pharmacology 73
- Cellular and Molecular Neuroscience 50
- Endocrinology, Diabetes and Metabolism 46
Countries citing papers authored by Federica Orsini
This map shows the geographic impact of Federica Orsini'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 Federica Orsini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Orsini more than expected).
Fields of papers citing papers by Federica Orsini
This network shows the impact of papers produced by Federica Orsini. 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 Federica Orsini. The network helps show where Federica Orsini may publish in the future.
Co-authorship network of co-authors of Federica Orsini
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Orsini. A scholar is included among the top collaborators of Federica Orsini 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 Federica Orsini. Federica Orsini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 18 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 17 | |
| 9 | Personalization of radioiodine treatment for Graves' disease: a prospective, randomized study with a novel method for calculating the optimal 131I-iodide activity based on target reduction of thyroid mass. | 7 |
| 10 | 15 | |
| 11 | 14 | |
| 12 | 27 | |
| 13 | 35 | |
| 14 | 2 | |
| 15 | 34 | |
| 16 | 96 | |
| 17 | 13 | |
| 18 | 118 | |
| 19 | 1 | |
| 20 | 7 |
About Federica Orsini
Federica Orsini is a scholar working on Health Informatics, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 21 papers that have together received 448 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (3 papers), Myasthenia Gravis and Thymoma (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Health Informatics (13 citations), Physiology (226 citations) and Biological Psychiatry (18 citations). Federica Orsini has collaborated with scholars based in Italy, Netherlands and Lebanon. Frequent co-authors include Bruno Giardina, Maria Elisabetta Clementi, Francesco Misiti, Massimo Coletta, Stefano Marini, Beatrice Sampaolese, Daniele Mezzogori, Claudio Grassi, Giuliano Mariani and Duccio Volterrani. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters and European Journal of 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.