Giovanni Squadrito
- Epidemiology top 0.5%
- Hepatology top 0.2%
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Giovanni RaimondoTeresa PollicinoIrene CacciolaDomenica AltavillaFrancesco SquadritoG CerenziaG. RaffaAntonino Saitta
- Topics
- Hepatitis C virus research (40 papers)Hepatitis B Virus Studies (37 papers)Liver Disease Diagnosis and Treatment (36 papers)
- Cited by
- HepatologyEpidemiologyNeurology
- Partner nations
- ItalyUnited KingdomDenmark
In The Last Decade
Giovanni Squadrito
149 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Epidemiology 3.1k
- Hepatology 2.7k
- Molecular Biology 814
- Pathology and Forensic Medicine 713
- Endocrinology, Diabetes and Metabolism 579
Countries citing papers authored by Giovanni Squadrito
This map shows the geographic impact of Giovanni Squadrito'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 Giovanni Squadrito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Squadrito more than expected).
Fields of papers citing papers by Giovanni Squadrito
This network shows the impact of papers produced by Giovanni Squadrito. 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 Giovanni Squadrito. The network helps show where Giovanni Squadrito may publish in the future.
Co-authorship network of co-authors of Giovanni Squadrito
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Squadrito. A scholar is included among the top collaborators of Giovanni Squadrito 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 Giovanni Squadrito. Giovanni Squadrito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 21 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 16 | |
| 10 | 32 | |
| 11 | 33 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 36 | |
| 16 | 9 | |
| 17 | 146 | |
| 18 | 29 | |
| 19 | 3 | |
| 20 | A genetic polymorphism of the apolipoprotein Al-CIII gene cluster is associated with coronary heart disease in non-insulin dependent diabetes mellitus | 2 |
About Giovanni Squadrito
Giovanni Squadrito is a scholar working on Hepatology, Epidemiology and Pathology and Forensic Medicine, having authored 153 papers that have together received 5.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (40 papers), Hepatitis B Virus Studies (37 papers) and Liver Disease Diagnosis and Treatment (36 papers). The work is most often cited by research in Hepatology (2.7k citations), Epidemiology (3.1k citations) and Neurology (334 citations). Giovanni Squadrito has collaborated with scholars based in Italy, United Kingdom and Denmark. Frequent co-authors include Giovanni Raimondo, Teresa Pollicino, Irene Cacciola, Domenica Altavilla, Francesco Squadrito, G Cerenzia, G. Raffa, Antonino Saitta, Giuseppe M. Campo and Maria Orlando. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.