Daniela Spampinato
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Surgery top 10%
- Physiology top 10%
- Co-authors
- Francesco PurrelloAgata Maria RabuazzoSalvatore PiroRiccardo VigneriVincenzo TrischittaLucia FrittittaRosa Di PaolaAntonio Pizzuti
- Topics
- Metabolism, Diabetes, and Cancer (9 papers)Pancreatic function and diabetes (6 papers)Adipokines, Inflammation, and Metabolic Diseases (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetesThe American Journal of Human Genetics
- Partner nations
- ItalySwedenUnited States
In The Last Decade
Daniela Spampinato
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 532
- Endocrinology, Diabetes and Metabolism 381
- Epidemiology 332
- Surgery 331
- Physiology 268
Countries citing papers authored by Daniela Spampinato
This map shows the geographic impact of Daniela Spampinato'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 Daniela Spampinato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Spampinato more than expected).
Fields of papers citing papers by Daniela Spampinato
This network shows the impact of papers produced by Daniela Spampinato. 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 Daniela Spampinato. The network helps show where Daniela Spampinato may publish in the future.
Co-authorship network of co-authors of Daniela Spampinato
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Spampinato. A scholar is included among the top collaborators of Daniela Spampinato 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 Daniela Spampinato. Daniela Spampinato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 16 | |
| 3 | 237 | |
| 4 | 5 | |
| 5 | 310 | |
| 6 | 24 | |
| 7 | 10 | |
| 8 | 41 | |
| 9 | 146 | |
| 10 | 126 | |
| 11 | 59 | |
| 12 | 48 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 14 | |
| 16 | 1 | |
| 17 | 26 |
About Daniela Spampinato
Daniela Spampinato is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Pancreatic function and diabetes (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (381 citations), Physiology (53 citations) and Physiology (268 citations). Daniela Spampinato has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Francesco Purrello, Agata Maria Rabuazzo, Salvatore Piro, Riccardo Vigneri, Vincenzo Trischitta, Lucia Frittitta, Rosa Di Paola, Antonio Pizzuti, M. Anello and L. Spadaro. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and The American Journal of Human Genetics.
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.