Francesca Urbano
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Surgery
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Agata Maria RabuazzoFrancesco PurrelloSalvatore PiroAntonino Di PinoRoberto ScicaliAgnese FilippelloStefania Di MauroAlessandra Scamporrino
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Liver Disease Diagnosis and Treatment (7 papers)Lipoproteins and Cardiovascular Health (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismClinical BiochemistryCardiology and Cardiovascular Medicine
- Partner nations
- ItalyUnited StatesArgentina
In The Last Decade
Francesca Urbano
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 407
- Epidemiology 261
- Surgery 237
- Molecular Biology 234
- Cardiology and Cardiovascular Medicine 196
Countries citing papers authored by Francesca Urbano
This map shows the geographic impact of Francesca Urbano'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 Francesca Urbano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Urbano more than expected).
Fields of papers citing papers by Francesca Urbano
This network shows the impact of papers produced by Francesca Urbano. 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 Francesca Urbano. The network helps show where Francesca Urbano may publish in the future.
Co-authorship network of co-authors of Francesca Urbano
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Urbano. A scholar is included among the top collaborators of Francesca Urbano 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 Francesca Urbano. Francesca Urbano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 39 | |
| 4 | 14 | |
| 5 | 24 | |
| 6 | 57 | |
| 7 | 47 | |
| 8 | 67 | |
| 9 | 24 | |
| 10 | 32 | |
| 11 | 29 | |
| 12 | 35 | |
| 13 | 23 | |
| 14 | 18 | |
| 15 | 28 | |
| 16 | 26 | |
| 17 | 28 | |
| 18 | 43 | |
| 19 | 24 | |
| 20 | 30 |
About Francesca Urbano
Francesca Urbano is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Cancer Research, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Liver Disease Diagnosis and Treatment (7 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (407 citations), Clinical Biochemistry (137 citations) and Cardiology and Cardiovascular Medicine (196 citations). Francesca Urbano has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include Agata Maria Rabuazzo, Francesco Purrello, Salvatore Piro, Antonino Di Pino, Roberto Scicali, Agnese Filippello, Stefania Di Mauro, Alessandra Scamporrino, Salvatore Calanna and Walter Currenti. Their work appears in journals such as PLoS ONE, 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.