Carla Di Dato
- Reproductive Medicine top 5%
- Public Health, Environmental and Occupational Health
- Endocrinology, Diabetes and Metabolism top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Epidemiology
- Co-authors
- Andrea M. IsidoriDaniele GianfrilliCarlotta PozzaCristina de AngelisRosario PivonelloAndrea SansoneDavide MenafraElisa Giannetta
- Topics
- Neuroendocrine Tumor Research Advances (4 papers)Neuroblastoma Research and Treatments (3 papers)Pregnancy and preeclampsia studies (2 papers)
- Cited by
- Reproductive MedicineEndocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child Health
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Carla Di Dato
12 papers receiving 569 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Reproductive Medicine 187
- Public Health, Environmental and Occupational Health 122
- Endocrinology, Diabetes and Metabolism 121
- Pediatrics, Perinatology and Child Health 94
- Epidemiology 78
Countries citing papers authored by Carla Di Dato
This map shows the geographic impact of Carla Di Dato'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 Carla Di Dato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carla Di Dato more than expected).
Fields of papers citing papers by Carla Di Dato
This network shows the impact of papers produced by Carla Di Dato. 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 Carla Di Dato. The network helps show where Carla Di Dato may publish in the future.
Co-authorship network of co-authors of Carla Di Dato
This figure shows the co-authorship network connecting the top 25 collaborators of Carla Di Dato. A scholar is included among the top collaborators of Carla Di Dato 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 Carla Di Dato. Carla Di Dato 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 | 106 | |
| 3 | 22 | |
| 4 | 25 | |
| 5 | 18 | |
| 6 | 49 | |
| 7 | 33 | |
| 8 | Smoke, alcohol and drug addiction and male fertilitybreakdown → | 204 |
| 9 | 28 | |
| 10 | 47 | |
| 11 | 21 | |
| 12 | 16 | |
| 13 | 4 |
About Carla Di Dato
Carla Di Dato is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 13 papers that have together received 573 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (4 papers), Neuroblastoma Research and Treatments (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Reproductive Medicine (187 citations), Endocrinology, Diabetes and Metabolism (121 citations) and Pediatrics, Perinatology and Child Health (94 citations). Carla Di Dato has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Andrea M. Isidori, Daniele Gianfrilli, Carlotta Pozza, Cristina de Angelis, Rosario Pivonello, Andrea Sansone, Davide Menafra, Elisa Giannetta, Andrea Lenzi and Antongiulio Faggiano. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Nutrients and Cancers.
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.