Anna Piva
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Hepatitis C virus research
- Liver Disease and Transplantation
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
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- Hormonal Regulation and Hypertension 2
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- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Maurizio Tommasini (2 shared papers)N Dioguardi (1 shared paper)Cristina De Fazio (1 shared paper)Valerio Di Carlo (1 shared paper)Roberto de Franchis (1 shared paper)Massimo Colombo (1 shared paper)E. Del Ninno (1 shared paper)Angelo Sangiovanni (1 shared paper)
- Journals
- Scandinavian Journal of Gastroenterology (1 paper)Cancer (1 paper)Prostaglandins (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Hypertension (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
Anna Piva
6 papers receiving 905 citations
Anna Piva's Hit Papers
Peers
Comparison fields: 5 of 63
- Hepatology 557
- Epidemiology 378
- Endocrinology, Diabetes and Metabolism 155
- Surgery 155
- Cancer Research 35
Countries citing papers authored by Anna Piva
This map shows the geographic impact of Anna Piva'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 Piva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Piva more than expected).
Fields of papers citing papers by Anna Piva
This network shows the impact of papers produced by Anna Piva. 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 Piva. The network helps show where Anna Piva may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Piva, 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 | Hepatocellular Carcinoma in Italian Patients with Cirrhosis Hit paper breakdown → | 1991 | 689 |
| 2 | 2008 | 160 | |
| 3 | 2007 | 59 | |
| 4 | 1990 | 21 | |
| 5 | 1994 | 11 | |
| 6 | 2012 | 6 | |
| 7 | 2014 | 0 |
About Anna Piva
Anna Piva is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 7 papers that have together received 946 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Neonatal Health and Biochemistry (1 paper), Cancer Mechanisms and Therapy (1 paper), Vitamin K Research Studies (1 paper), Sulfur Compounds in Biology (1 paper), Pharmacological Effects of Natural Compounds (1 paper) and Heme Oxygenase-1 and Carbon Monoxide (1 paper). The work is most often cited by research in Hepatology (557 citations), Epidemiology (378 citations), Endocrinology, Diabetes and Metabolism (155 citations), Surgery (155 citations) and Cancer Research (35 citations). Anna Piva has collaborated with scholars based in Italy and United States. Frequent co-authors include Maurizio Tommasini, N Dioguardi, Cristina De Fazio, Valerio Di Carlo, Roberto de Franchis, Massimo Colombo, E. Del Ninno, Angelo Sangiovanni, Massimo Bolognesi and Damiano Rizzoni. Their work appears in journals such as Scandinavian Journal of Gastroenterology, Cancer, Prostaglandins, Journal of Pharmacology and Experimental Therapeutics and Hypertension.
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.