Francesca Saba
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
-
- Diet, Metabolism, and Disease
- Diabetes Treatment and Management
Papers in
- Epidemiology 17
- Liver Disease Diagnosis and Treatment 17
-
- Diet, Metabolism, and Disease 5
- Co-authors
- Roberto Gambino (17 shared papers)Maurizio Cassader (17 shared papers)Giovanni Musso (13 shared papers)Silvia Pinach (9 shared papers)Solomon J. Cohney (2 shared papers)Franco De Michieli (8 shared papers)Elisabetta Bugianesi (12 shared papers)Chiara Rosso (12 shared papers)
In The Last Decade
Francesca Saba
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Geriatrics and Gerontology 102
- Endocrinology, Diabetes and Metabolism 285
- Hepatology 124
- Epidemiology 476
- Physiology 143
Countries citing papers authored by Francesca Saba
This map shows the geographic impact of Francesca Saba'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 Saba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Saba more than expected).
Fields of papers citing papers by Francesca Saba
This network shows the impact of papers produced by Francesca Saba. 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 Saba. The network helps show where Francesca Saba may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Saba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 137 | |
| 2 | 2016 | 134 | |
| 3 | 2015 | 101 | |
| 4 | 2012 | 100 | |
| 5 | 2016 | 87 | |
| 6 | 2015 | 65 | |
| 7 | 2020 | 63 | |
| 8 | 2020 | 49 | |
| 9 | 2017 | 47 | |
| 10 | 2023 | 45 | |
| 11 | 2019 | 41 | |
| 12 | 2019 | 29 | |
| 13 | 2010 | 28 | |
| 14 | 2023 | 28 | |
| 15 | 2017 | 25 | |
| 16 | 2016 | 24 | |
| 17 | 2011 | 22 | |
| 18 | 2017 | 19 | |
| 19 | 2024 | 19 | |
| 20 | 2011 | 12 |
About Francesca Saba
Francesca Saba is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Hepatology, Biochemistry and Physiology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Diet, Metabolism, and Disease (5 papers), Diabetes and associated disorders (3 papers), Diet and metabolism studies (3 papers), Lipid metabolism and biosynthesis (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Adipose Tissue and Metabolism (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (102 citations), Endocrinology, Diabetes and Metabolism (285 citations), Hepatology (124 citations), Epidemiology (476 citations) and Physiology (143 citations). Francesca Saba has collaborated with scholars based in Italy, Belarus and Russia. Frequent co-authors include Roberto Gambino, Maurizio Cassader, Giovanni Musso, Silvia Pinach, Solomon J. Cohney, Franco De Michieli, Elisabetta Bugianesi, Chiara Rosso, Valeria Sogos and Antonio Sircana. Their work appears in journals such as Digestive and Liver Disease, The American Journal of Gastroenterology, International Journal of Molecular Sciences, Nutrients and Hepatology.
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.