Daniela Gabbia
Impact in
- Hepatology top 5%
- Liver Diseases and Immunity
- Liver Disease and Transplantation
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
Papers in
- Epidemiology 24
- Liver Disease Diagnosis and Treatment 23
- Hepatology 18
- Liver Diseases and Immunity 9
- Liver physiology and pathology 5
- Co-authors
- Sara De Martin (50 shared papers)Maria Carrara (16 shared papers)Annarosa Floreani (12 shared papers)Francesco Paolo Russo (10 shared papers)Yahima Frión-Herrera (5 shared papers)Osmany Cuesta‐Rubio (4 shared papers)Maria Guido (10 shared papers)Sara Bogialli (10 shared papers)
- Journals
- International Journal of Molecular Sciences (8 papers)Biomedicines (4 papers)Marine Drugs (3 papers)Nutrients (3 papers)Biology (3 papers)
- Partner nations
- ItalyEcuadorUnited States
In The Last Decade
Daniela Gabbia
56 papers receiving 970 citations
Peers
Comparison fields: 5 of 93
- Hepatology 200
- Aquatic Science 90
- Pharmacology 98
- Epidemiology 325
- Biochemistry 49
Countries citing papers authored by Daniela Gabbia
This map shows the geographic impact of Daniela Gabbia'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 Gabbia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gabbia more than expected).
Fields of papers citing papers by Daniela Gabbia
This network shows the impact of papers produced by Daniela Gabbia. 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 Gabbia. The network helps show where Daniela Gabbia may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Gabbia, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2020 | 69 | |
| 3 | 2017 | 52 | |
| 4 | 2018 | 51 | |
| 5 | 2020 | 47 | |
| 6 | 2019 | 34 | |
| 7 | 2017 | 32 | |
| 8 | 2019 | 31 | |
| 9 | 2021 | 29 | |
| 10 | 2022 | 29 | |
| 11 | 2017 | 28 | |
| 12 | 2021 | 27 | |
| 13 | 2022 | 26 | |
| 14 | 2023 | 25 | |
| 15 | 2017 | 24 | |
| 16 | 2022 | 23 | |
| 17 | 2014 | 23 | |
| 18 | 2021 | 23 | |
| 19 | 2020 | 23 | |
| 20 | 2019 | 22 |
About Daniela Gabbia
Daniela Gabbia is a scholar working on Epidemiology, Hepatology, Molecular Biology, Surgery and Oncology, having authored 59 papers that have together received 988 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (23 papers), Liver Diseases and Immunity (9 papers), Drug Transport and Resistance Mechanisms (7 papers), Liver physiology and pathology (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Hepatology (200 citations), Aquatic Science (90 citations), Pharmacology (98 citations), Epidemiology (325 citations) and Biochemistry (49 citations). Daniela Gabbia has collaborated with scholars based in Italy, Ecuador and United States. Frequent co-authors include Sara De Martin, Maria Carrara, Annarosa Floreani, Francesco Paolo Russo, Yahima Frión-Herrera, Osmany Cuesta‐Rubio, Maria Guido, Sara Bogialli, Marco Roverso and Nicola Ferri. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicines, Marine Drugs, Nutrients and Biology.
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.