Umberto Vespasiani‐Gentilucci
- Hepatology top 1%
- Liver Disease and Transplantation 21
- Hepatitis C virus research 11
- Hepatocellular Carcinoma Treatment and Prognosis 10
- Liver physiology and pathology 9
- Liver Diseases and Immunity 9
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 58
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- Diet, Metabolism, and Disease 12
- Geriatrics and Gerontology top 5%
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- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Antonio PicardiSimone CarottiS. MoriniAntonio De VincentisRaffaele Antonelli IncalziGiovanni GalatiPaolo GalloMatías A. Ávila
- Journals
- Nature Medicine (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (2 papers)
- Partner nations
- ItalySwedenUnited States
In The Last Decade
Umberto Vespasiani‐Gentilucci
107 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 115
- Hepatology 663
- Epidemiology 1.2k
- Endocrinology, Diabetes and Metabolism 347
- Pathology and Forensic Medicine 273
- Geriatrics and Gerontology 58
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
The 25 scholars most cited alongside Umberto Vespasiani‐Gentilucci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 34 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 86 | |
| 11 | 2019 | 29 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 19 | |
| 14 | 2017 | 14 | |
| 15 | 2016 | 1 | |
| 16 | 2015 | 32 | |
| 17 | 2014 | 15 | |
| 18 | 2012 | 1 | |
| 19 | 2010 | 7 | |
| 20 | 2006 | 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), Diet, Metabolism, and Disease (12 papers), Hepatitis C virus research (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver physiology and pathology (9 papers), Liver Diseases and Immunity (9 papers) and Endoplasmic Reticulum Stress and Disease (5 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.