Anna Pecorelli
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Hepatitis C virus research
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 23
- Hepatocellular Carcinoma Treatment and Prognosis 19
- Liver Disease and Transplantation 6
- Epidemiology 16
- Liver Disease Diagnosis and Treatment 13
- Co-authors
- Fabio Piscaglia (10 shared papers)Sara Marinelli (4 shared papers)Andrea Barchetti (1 shared paper)Claudio Tiribelli (1 shared paper)Stefano Bellentani (1 shared paper)Gianluca Svegliati‐Baroni (1 shared paper)Sandro Sironi (23 shared papers)Davide Ippolito (21 shared papers)
In The Last Decade
Anna Pecorelli
50 papers receiving 1.6k citations
Anna Pecorelli's Hit Papers
Peers
Comparison fields: 5 of 72
- Hepatology 866
- Epidemiology 680
- Cancer Research 144
- Pathology and Forensic Medicine 123
- Endocrinology, Diabetes and Metabolism 112
Countries citing papers authored by Anna Pecorelli
This map shows the geographic impact of Anna Pecorelli'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 Anna Pecorelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Pecorelli more than expected).
Fields of papers citing papers by Anna Pecorelli
This network shows the impact of papers produced by Anna Pecorelli. 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 Anna Pecorelli. The network helps show where Anna Pecorelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Pecorelli, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical patterns of hepatocellular carcinoma in nonalcoholic fatty liver disease: A multicenter prospective study Hit paper breakdown → | 2015 | 504 |
| 2 | 2014 | 206 | |
| 3 | 2014 | 103 | |
| 4 | 2018 | 100 | |
| 5 | 2012 | 78 | |
| 6 | 2016 | 75 | |
| 7 | 2014 | 60 | |
| 8 | 2016 | 57 | |
| 9 | 2020 | 29 | |
| 10 | 2021 | 28 | |
| 11 | 2018 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2022 | 21 | |
| 14 | 2023 | 21 | |
| 15 | 2020 | 21 | |
| 16 | 2018 | 21 | |
| 17 | 2020 | 19 | |
| 18 | 2017 | 19 | |
| 19 | 2015 | 15 | |
| 20 | 2023 | 14 |
About Anna Pecorelli
Anna Pecorelli is a scholar working on Hepatology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (19 papers), Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (6 papers), MRI in cancer diagnosis (6 papers), Pancreatic and Hepatic Oncology Research (4 papers), Gallbladder and Bile Duct Disorders (3 papers), Radiation Dose and Imaging (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Hepatology (866 citations), Epidemiology (680 citations), Cancer Research (144 citations), Pathology and Forensic Medicine (123 citations) and Endocrinology, Diabetes and Metabolism (112 citations). Anna Pecorelli has collaborated with scholars based in Italy, Romania and Gambia. Frequent co-authors include Fabio Piscaglia, Sara Marinelli, Andrea Barchetti, Claudio Tiribelli, Stefano Bellentani, Gianluca Svegliati‐Baroni, Sandro Sironi, Davide Ippolito, Cammillo Talei Franzesi and Franco Trevisani. Their work appears in journals such as Digestive and Liver Disease, Liver International, Journal of Hepatology, European Journal of Radiology 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.