E. Fatta
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Liver Diseases and Immunity
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- Diet, Metabolism, and Disease
Papers in
- Epidemiology 13
- Liver Disease Diagnosis and Treatment 11
- Hepatitis B Virus Studies 2
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- Hepatitis C virus research 5
- Liver Disease and Transplantation 2
- Co-authors
- Anna Ludovica Fracanzani (13 shared papers)Silvia Fargion (13 shared papers)Luca Valenti (10 shared papers)C. Bertelli (12 shared papers)Elisabetta Bugianesi (2 shared papers)Ester Vanni (2 shared papers)Giulio Marchesini (2 shared papers)Daniela Bignamini (4 shared papers)
- Journals
- Journal of Hepatology (5 papers)Digestive and Liver Disease (5 papers)Blood Cells Molecules and Diseases (1 paper)Liver International (1 paper)Nutrition Metabolism and Cardiovascular Diseases (1 paper)
- Partner nations
- ItalyNetherlandsTaiwan
In The Last Decade
E. Fatta
15 papers receiving 893 citations
E. Fatta's Hit Papers
Peers
Comparison fields: 5 of 53
- Hepatology 272
- Endocrinology, Diabetes and Metabolism 370
- Epidemiology 750
- Hematology 131
- Genetics 87
Countries citing papers authored by E. Fatta
This map shows the geographic impact of E. Fatta'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 E. Fatta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Fatta more than expected).
Fields of papers citing papers by E. Fatta
This network shows the impact of papers produced by E. Fatta. 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 E. Fatta. The network helps show where E. Fatta may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Fatta, 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 | Risk of severe liver disease in nonalcoholic fatty liver disease with normal aminotransferase levels: A role for insulin resistance and diabetes Hit paper breakdown → | 2008 | 530 |
| 2 | 2010 | 95 | |
| 3 | 2010 | 75 | |
| 4 | 2003 | 74 | |
| 5 | 2001 | 57 | |
| 6 | 2016 | 31 | |
| 7 | 2005 | 19 | |
| 8 | 2022 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2009 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2011 | 2 | |
| 13 | 2008 | 1 | |
| 14 | 2003 | 1 | |
| 15 | 2016 | 1 |
About E. Fatta
E. Fatta is a scholar working on Epidemiology, Hepatology, Hematology, Rheumatology and Genetics, having authored 15 papers that have together received 917 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Hepatitis C virus research (5 papers), Iron Metabolism and Disorders (4 papers), Folate and B Vitamins Research (3 papers), Diet, Metabolism, and Disease (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Hepatitis B Virus Studies (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (272 citations), Endocrinology, Diabetes and Metabolism (370 citations), Epidemiology (750 citations), Hematology (131 citations) and Genetics (87 citations). E. Fatta has collaborated with scholars based in Italy, Netherlands and Taiwan. Frequent co-authors include Anna Ludovica Fracanzani, Silvia Fargion, Luca Valenti, C. Bertelli, Elisabetta Bugianesi, Ester Vanni, Giulio Marchesini, Daniela Bignamini, M. Andreoletti and Agostino Colli. Their work appears in journals such as Journal of Hepatology, Digestive and Liver Disease, Blood Cells Molecules and Diseases, Liver International and Nutrition Metabolism and Cardiovascular Diseases.
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.