U. Lorenzoni

481 citations
7 papers · 398 · h-index 6

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment
    • HIV, Drug Use, Sexual Risk

Papers in

    • Hepatitis C virus research 3
    • Hepatitis Viruses Studies and Epidemiology 1
    • Liver Disease Diagnosis and Treatment 3
    • Hepatitis B Virus Studies 1

U. Lorenzoni

7 papers receiving 380 citations

Peers

U. Lorenzoni
Comparison fields: 5 of 42
  • Hepatology 296
  • Epidemiology 219
  • Microbiology 8
  • Pathology and Forensic Medicine 14
  • Oncology 19
Replace A. Vian with:
A. Vian Italy
Nikos Tassopoulos Greece
Shiro Fukumoto Japan
W. Petry Germany
Guido Colloredo Mels Italy
C L Liu Hong Kong
L. Raffaele Italy
S. Lobello Italy
Pierre Opolon France
A. M. Brind United Kingdom
U. Lorenzoni relative to A. Vian Italy A. Vian's profile →
Citations per field
00.5×1.5×
A. Vian · 1×
Citations per year

Countries citing papers authored by U. Lorenzoni

Since Specialization
Citations

This map shows the geographic impact of U. Lorenzoni'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 U. Lorenzoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Lorenzoni more than expected).

Fields of papers citing papers by U. Lorenzoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. Lorenzoni. 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 U. Lorenzoni. The network helps show where U. Lorenzoni may publish in the future.

Co-authors

The 16 scholars most cited alongside U. Lorenzoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with U. Lorenzoni Line = papers co-authored together U. Lorenzoni links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1999208
2 199699
3 200159
4 199919
5 19987
6
Circulating soluble-CD30 (sCD30) in patients with HCV-related chronic hepatitis and in patients with alcoholic liver disease.
20025
7 20001

About U. Lorenzoni

U. Lorenzoni is a scholar working on Hepatology, Epidemiology, Rheumatology, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 398 indexed citations. Recurring topics across this work include Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatitis Viruses Studies and Epidemiology (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Hepatology (296 citations), Epidemiology (219 citations), Microbiology (8 citations), Pathology and Forensic Medicine (14 citations) and Oncology (19 citations). U. Lorenzoni has collaborated with scholars based in Italy. Frequent co-authors include Tommaso Stroffolini, Annarosa Floreani, Maria Chiaramonte, A. Vian, R. Naccarato, S. Lobello, Fabio Farinati, Maria A. Stazi, Francesca Menniti‐Ippolito and M. Chiaramonte. Their work appears in journals such as Cancer, Journal of Hepatology, The American Journal of Gastroenterology, Journal of Viral Hepatitis 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.

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