Umberto Vespasiani‐Gentilucci
- Epidemiology top 2%
- Hepatology top 1%
- Molecular Biology
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Antonio PicardiSimone CarottiS. MoriniAntonio De VincentisRaffaele Antonelli IncalziGiovanni GalatiPaolo GalloMatías A. Ávila
- Topics
- Liver Disease Diagnosis and Treatment (58 papers)Liver Disease and Transplantation (21 papers)Diet, Metabolism, and Disease (12 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalySwedenUnited States
In The Last Decade
Umberto Vespasiani‐Gentilucci
107 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 115
- Epidemiology 1.2k
- Hepatology 663
- Molecular Biology 480
- Surgery 430
- Endocrinology, Diabetes and Metabolism 347
Countries citing papers authored by Umberto Vespasiani‐Gentilucci
This map shows the geographic impact of Umberto Vespasiani‐Gentilucci'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 Umberto Vespasiani‐Gentilucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Vespasiani‐Gentilucci more than expected).
Fields of papers citing papers by Umberto Vespasiani‐Gentilucci
This network shows the impact of papers produced by Umberto Vespasiani‐Gentilucci. 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 Umberto Vespasiani‐Gentilucci. The network helps show where Umberto Vespasiani‐Gentilucci may publish in the future.
Co-authorship network of co-authors of Umberto Vespasiani‐Gentilucci
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Vespasiani‐Gentilucci. A scholar is included among the top collaborators of Umberto Vespasiani‐Gentilucci 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 Umberto Vespasiani‐Gentilucci. Umberto Vespasiani‐Gentilucci 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 | 0 | |
| 3 | 34 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 19 | |
| 8 | 17 | |
| 9 | 7 | |
| 10 | 86 | |
| 11 | 29 | |
| 12 | 21 | |
| 13 | 19 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 32 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 6 |
About Umberto Vespasiani‐Gentilucci
Umberto Vespasiani‐Gentilucci is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 111 papers that have together received 2.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (58 papers), Liver Disease and Transplantation (21 papers) and Diet, Metabolism, and Disease (12 papers). The work is most often cited by research in Hepatology (663 citations), Epidemiology (1.2k citations) and Endocrinology, Diabetes and Metabolism (347 citations). Umberto Vespasiani‐Gentilucci has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Antonio Picardi, Simone Carotti, S. Morini, Antonio De Vincentis, Raffaele Antonelli Incalzi, Giovanni Galati, Paolo Gallo, Matías A. Ávila, María U. Latasa and Carmen Berasain. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.
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.