Rosario D’Anna
- Obstetrics and Gynecology top 0.2%
- Pathology and Forensic Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Genetics top 2%
- Pediatrics, Perinatology and Child Health top 1%
- Co-authors
- Francesco CorradoFrancesco SquadritoA. Di BenedettoDomenica AltavillaN FrisinaAlessandra BittoG BavieraAngelo Santamaria
- Topics
- Pregnancy and preeclampsia studies (40 papers)Gestational Diabetes Research and Management (36 papers)Phytoestrogen effects and research (24 papers)
- Cited by
- Obstetrics and GynecologyPathology and Forensic MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Rosario D’Anna
116 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 129
- Obstetrics and Gynecology 1.5k
- Pathology and Forensic Medicine 1.3k
- Endocrinology, Diabetes and Metabolism 989
- Genetics 887
- Pediatrics, Perinatology and Child Health 745
Countries citing papers authored by Rosario D’Anna
This map shows the geographic impact of Rosario D’Anna'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 Rosario D’Anna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosario D’Anna more than expected).
Fields of papers citing papers by Rosario D’Anna
This network shows the impact of papers produced by Rosario D’Anna. 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 Rosario D’Anna. The network helps show where Rosario D’Anna may publish in the future.
Co-authorship network of co-authors of Rosario D’Anna
This figure shows the co-authorship network connecting the top 25 collaborators of Rosario D’Anna. A scholar is included among the top collaborators of Rosario D’Anna 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 Rosario D’Anna. Rosario D’Anna 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 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 37 | |
| 8 | 47 | |
| 9 | 20 | |
| 10 | 23 | |
| 11 | 71 | |
| 12 | 6 | |
| 13 | 42 | |
| 14 | 42 | |
| 15 | 4 | |
| 16 | 189 | |
| 17 | 4 | |
| 18 | 14 | |
| 19 | 4 | |
| 20 | 3 |
About Rosario D’Anna
Rosario D’Anna is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Pathology and Forensic Medicine, having authored 121 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (40 papers), Gestational Diabetes Research and Management (36 papers) and Phytoestrogen effects and research (24 papers). The work is most often cited by research in Obstetrics and Gynecology (1.5k citations), Pathology and Forensic Medicine (1.3k citations) and Endocrinology, Diabetes and Metabolism (989 citations). Rosario D’Anna has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Francesco Corrado, Francesco Squadrito, A. Di Benedetto, Domenica Altavilla, N Frisina, Alessandra Bitto, G Baviera, Angelo Santamaria, F Corrado and Domenico Giordano. Their work appears in journals such as Annals of Internal Medicine, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.