A. Pinna
Impact in
- Hepatology top 2%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
Papers in
- Surgery 6
- Organ Transplantation Techniques and Outcomes 6
-
- Liver Disease and Transplantation 5
- Hepatocellular Carcinoma Treatment and Prognosis 1
- Co-authors
- John J. Fung (4 shared papers)André M. De Wolf (1 shared paper)Victor L. Scott (1 shared paper)Dion Kramer (3 shared papers)Yoogoo Kang (1 shared paper)Jeffrey S. Plotkin (1 shared paper)A. William Pasculle (2 shared papers)Peter K. Linden (2 shared papers)
- Journals
- Journal of Hepatology (2 papers)Clinical Infectious Diseases (2 papers)Hepatology (1 paper)Transplantation Proceedings (2 papers)PubMed (2 papers)
- Partner nations
- United StatesItaly
In The Last Decade
A. Pinna
10 papers receiving 554 citations
Peers
Comparison fields: 5 of 49
- Hepatology 252
- Clinical Biochemistry 102
- Applied Microbiology and Biotechnology 24
- Infectious Diseases 157
- Transplantation 15
Countries citing papers authored by A. Pinna
This map shows the geographic impact of A. Pinna'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 A. Pinna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pinna more than expected).
Fields of papers citing papers by A. Pinna
This network shows the impact of papers produced by A. Pinna. 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 A. Pinna. The network helps show where A. Pinna may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Pinna, 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 | 1996 | 208 | |
| 2 | 1996 | 193 | |
| 3 | 1997 | 119 | |
| 4 | Effluent levels of hyaluronic acid can predict ultimate graft outcome after clinical liver transplantation: a prospective series. | 1993 | 18 |
| 5 | Prediction of early graft function by effluent levels of hyaluronic acid in clinical liver transplantation. | 1993 | 13 |
| 6 | 2004 | 8 | |
| 7 | 2002 | 4 | |
| 8 | 1997 | 3 | |
| 9 | 2017 | 2 | |
| 10 | 2004 | 2 |
About A. Pinna
A. Pinna is a scholar working on Surgery, Hepatology, Epidemiology, Infectious Diseases and Pathology and Forensic Medicine, having authored 10 papers that have together received 570 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (6 papers), Liver Disease and Transplantation (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Streptococcal Infections and Treatments (1 paper), Alcohol Consumption and Health Effects (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Hepatology (252 citations), Clinical Biochemistry (102 citations), Applied Microbiology and Biotechnology (24 citations), Infectious Diseases (157 citations) and Transplantation (15 citations). A. Pinna has collaborated with scholars based in United States and Italy. Frequent co-authors include John J. Fung, André M. De Wolf, Victor L. Scott, Dion Kramer, Yoogoo Kang, Jeffrey S. Plotkin, A. William Pasculle, Peter K. Linden, Shimon Kusne and Satoru Todo. Their work appears in journals such as Journal of Hepatology, Clinical Infectious Diseases, Hepatology, Transplantation Proceedings and PubMed.
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.