F. Agnelli
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Liver Diseases and Immunity
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- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
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- Liver Disease Diagnosis and Treatment 4
- Hepatitis B Virus Studies 4
- Infective Endocarditis Diagnosis and Management 1
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- Hepatitis C virus research 5
- Liver Diseases and Immunity 3
- Liver Disease and Transplantation 1
- Co-authors
- Maria Francesca Donato (10 shared papers)G. Rossi (7 shared papers)Cristina Rigamonti (6 shared papers)Massimo Colombo (2 shared papers)Mirella Fraquelli (2 shared papers)Giovanni Casazza (1 shared paper)G. Ronchi (1 shared paper)Francesco Scaglione (3 shared papers)
In The Last Decade
F. Agnelli
17 papers receiving 295 citations
Peers
Comparison fields: 5 of 64
- Hepatology 114
- Epidemiology 172
- Transplantation 8
- Endocrinology, Diabetes and Metabolism 23
- Molecular Medicine 7
Countries citing papers authored by F. Agnelli
This map shows the geographic impact of F. Agnelli'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 F. Agnelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Agnelli more than expected).
Fields of papers citing papers by F. Agnelli
This network shows the impact of papers produced by F. Agnelli. 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 F. Agnelli. The network helps show where F. Agnelli may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Agnelli, 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 | 2008 | 116 | |
| 2 | 2020 | 38 | |
| 3 | 2013 | 38 | |
| 4 | 2019 | 33 | |
| 5 | 2007 | 19 | |
| 6 | 2008 | 15 | |
| 7 | 2009 | 11 | |
| 8 | 2009 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2008 | 8 | |
| 11 | 2020 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2019 | 2 | |
| 14 | 2006 | 1 | |
| 15 | 2002 | 1 | |
| 16 | 2010 | 1 | |
| 17 | 2008 | 1 |
About F. Agnelli
F. Agnelli is a scholar working on Epidemiology, Hepatology, Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 311 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Hepatitis B Virus Studies (4 papers), Liver Diseases and Immunity (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Liver Disease and Transplantation (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Hepatology (114 citations), Epidemiology (172 citations), Transplantation (8 citations), Endocrinology, Diabetes and Metabolism (23 citations) and Molecular Medicine (7 citations). F. Agnelli has collaborated with scholars based in Italy, Austria and Japan. Frequent co-authors include Maria Francesca Donato, G. Rossi, Cristina Rigamonti, Massimo Colombo, Mirella Fraquelli, Giovanni Casazza, G. Ronchi, Francesco Scaglione, Arianna Pani and Stefano Gatti. Their work appears in journals such as Journal of Hepatology, Digestive and Liver Disease, Thrombosis and Haemostasis, Breast Cancer and Antiviral Therapy.
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.