Gioconda Saccoccio
- Epidemiology top 1%
- Hepatology top 0.5%
- Pathology and Forensic Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 10%
- Co-authors
- Stefano BellentaniClaudio TiribelliFlora MasuttiLory Saveria CrocèFranco SassoGiovanni BrandiGabriele PozzatoFlavio Manenti
- Topics
- Liver Disease Diagnosis and Treatment (11 papers)Alcohol Consumption and Health Effects (6 papers)Hepatitis C virus research (5 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Gioconda Saccoccio
23 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Epidemiology 2.2k
- Hepatology 1.1k
- Pathology and Forensic Medicine 880
- Endocrinology, Diabetes and Metabolism 818
- Surgery 417
Countries citing papers authored by Gioconda Saccoccio
This map shows the geographic impact of Gioconda Saccoccio'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 Gioconda Saccoccio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gioconda Saccoccio more than expected).
Fields of papers citing papers by Gioconda Saccoccio
This network shows the impact of papers produced by Gioconda Saccoccio. 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 Gioconda Saccoccio. The network helps show where Gioconda Saccoccio may publish in the future.
Co-authorship network of co-authors of Gioconda Saccoccio
This figure shows the co-authorship network connecting the top 25 collaborators of Gioconda Saccoccio. A scholar is included among the top collaborators of Gioconda Saccoccio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gioconda Saccoccio. Gioconda Saccoccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 125 | |
| 5 | 62 | |
| 6 | 86 | |
| 7 | 59 | |
| 8 | 25 | |
| 9 | 11 | |
| 10 | 43 | |
| 11 | Prevalence of and Risk Factors for Hepatic Steatosis in Northern Italybreakdown → | 1022 |
| 12 | 186 | |
| 13 | 140 | |
| 14 | 81 | |
| 15 | 6 | |
| 16 | 454 | |
| 17 | 418 | |
| 18 | 11 | |
| 19 | 41 | |
| 20 | 2 |
About Gioconda Saccoccio
Gioconda Saccoccio is a scholar working on Hepatology, Pathology and Forensic Medicine and Epidemiology, having authored 23 papers that have together received 2.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Alcohol Consumption and Health Effects (6 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (2.2k citations) and Endocrinology, Diabetes and Metabolism (818 citations). Gioconda Saccoccio has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Stefano Bellentani, Claudio Tiribelli, Flora Masutti, Lory Saveria Crocè, Franco Sasso, Giovanni Brandi, Gabriele Pozzato, Flavio Manenti, Guido Biasco and M Crovatto. Their work appears in journals such as Journal of Clinical Oncology, Annals of Internal Medicine 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.