Gabriella Donà
- Reproductive Medicine top 2%
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Surgery
- Co-authors
- Decio ArmaniniLuciana BordinEugenio RagazziAlessandra AndrisaniGuido AmbrosiniChiara SabbadinGiulio ClariAnna Maria Brunati
- Topics
- Ovarian function and disorders (10 papers)Reproductive Biology and Fertility (9 papers)Sperm and Testicular Function (7 papers)
In The Last Decade
Gabriella Donà
32 papers receiving 532 citations
Peers
Comparison fields: 5 of 75
- Reproductive Medicine 299
- Public Health, Environmental and Occupational Health 178
- Endocrinology, Diabetes and Metabolism 116
- Molecular Biology 77
- Surgery 51
Countries citing papers authored by Gabriella Donà
This map shows the geographic impact of Gabriella Donà'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 Gabriella Donà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Donà more than expected).
Fields of papers citing papers by Gabriella Donà
This network shows the impact of papers produced by Gabriella Donà. 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 Gabriella Donà. The network helps show where Gabriella Donà may publish in the future.
Co-authorship network of co-authors of Gabriella Donà
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Donà. A scholar is included among the top collaborators of Gabriella Donà 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 Gabriella Donà. Gabriella Donà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 43 | |
| 3 | 8 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 34 | |
| 11 | 5 | |
| 12 | 27 | |
| 13 | 64 | |
| 14 | 25 | |
| 15 | 41 | |
| 16 | 31 | |
| 17 | 36 | |
| 18 | 7 | |
| 19 | Pharmacological and toxicological studies on an iron succinyl-protein complex (ITF282) for oral treatment of iron deficiency anemia. | 12 |
| 20 | [Pipemidic acid in urinary tract infections in aged patients]. | 0 |
About Gabriella Donà
Gabriella Donà is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 33 papers that have together received 546 indexed citations. Recurring topics across this work include Ovarian function and disorders (10 papers), Reproductive Biology and Fertility (9 papers) and Sperm and Testicular Function (7 papers). The work is most often cited by research in Reproductive Medicine (299 citations), Endocrinology, Diabetes and Metabolism (116 citations) and Obstetrics and Gynecology (48 citations). Gabriella Donà has collaborated with scholars based in Italy, Australia and Israel. Frequent co-authors include Decio Armanini, Luciana Bordin, Eugenio Ragazzi, Alessandra Andrisani, Guido Ambrosini, Chiara Sabbadin, Giulio Clari, Anna Maria Brunati, Cristina Fiore and Elena Tibaldi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The FASEB Journal and International Journal of Molecular Sciences.
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.