Rosa Lauretta
- Health, Toxicology and Mutagenesis top 5%
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Molecular Biology
- Co-authors
- Marialuisa AppetecchiaFrancesco RomanelliAndrea SansoneMassimiliano SansoneAgnese BarnabeiMarilda MormandoMarta BianchiniGiulia Puliani
- Topics
- Pituitary Gland Disorders and Treatments (9 papers)Neuroendocrine Tumor Research Advances (8 papers)Neuroblastoma Research and Treatments (5 papers)
- Cited by
- Health, Toxicology and MutagenesisEndocrinology, Diabetes and MetabolismReproductive Medicine
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesMedicine
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Rosa Lauretta
27 papers receiving 600 citations
Peers
Comparison fields: 5 of 104
- Health, Toxicology and Mutagenesis 154
- Epidemiology 145
- Endocrinology, Diabetes and Metabolism 141
- Oncology 124
- Molecular Biology 79
Countries citing papers authored by Rosa Lauretta
This map shows the geographic impact of Rosa Lauretta'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 Rosa Lauretta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Lauretta more than expected).
Fields of papers citing papers by Rosa Lauretta
This network shows the impact of papers produced by Rosa Lauretta. 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 Rosa Lauretta. The network helps show where Rosa Lauretta may publish in the future.
Co-authorship network of co-authors of Rosa Lauretta
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Lauretta. A scholar is included among the top collaborators of Rosa Lauretta 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 Rosa Lauretta. Rosa Lauretta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 33 | |
| 4 | 11 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 223 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 3 | |
| 16 | Gender in endocrinological diseases: biological and clinical differences | 2 |
| 17 | 13 | |
| 18 | 9 | |
| 19 | 16 | |
| 20 | 4 |
About Rosa Lauretta
Rosa Lauretta is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology and Epidemiology, having authored 27 papers that have together received 609 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (9 papers), Neuroendocrine Tumor Research Advances (8 papers) and Neuroblastoma Research and Treatments (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (154 citations), Endocrinology, Diabetes and Metabolism (141 citations) and Reproductive Medicine (44 citations). Rosa Lauretta has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Marialuisa Appetecchia, Francesco Romanelli, Andrea Sansone, Massimiliano Sansone, Agnese Barnabei, Marilda Mormando, Marta Bianchini, Giulia Puliani, Andrea Lenzi and Elisa Giannetta. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Medicine.
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.