F. Agnelli

435 citations
17 papers · 288 · h-index 9

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis C virus research 9
    • Liver Disease and Transplantation 5
    • Liver Diseases and Immunity 3
    • Liver Disease Diagnosis and Treatment 7
    • Hepatitis B Virus Studies 4

F. Agnelli

16 papers receiving 279 citations

Peers

F. Agnelli
Comparison fields: 5 of 61
  • Hepatology 155
  • Epidemiology 193
  • Transplantation 7
  • Applied Microbiology and Biotechnology 5
  • Endocrinology, Diabetes and Metabolism 30
Replace Alexander Queck with:
Alexander Queck Germany
Yuan-Jen Wang Taiwan
Stanley Bukofzer South Africa
Matthew Bruce United Kingdom
Simone Novelli Italy
Philip G. Ferstl Germany
Anne Varaut France
Sanal Madhusudana Girija India
Richard Manch United States
Luiz Carlos da Costa Gayotto Brazil
F. Agnelli relative to Alexander Queck Germany Alexander Queck's profile →
Citations per field
00.5×
Alexander Queck · 1×
Citations per year

Countries citing papers authored by F. Agnelli

Since Specialization
Citations

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

Fields of papers citing papers by F. Agnelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Agnelli, 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 F. Agnelli Line = papers co-authored together F. Agnelli links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2008106
2 201336
3 202035
4 201931
5 200717
6 200815
7 20099
8 20209
9 20088
10 20098
11 20205
12 20214
13 20192
14 20101
15 20021
16 20081
17 20060

About F. Agnelli

F. Agnelli is a scholar working on Hepatology, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 288 indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (5 papers), Hepatitis B Virus Studies (4 papers), Liver Diseases and Immunity (3 papers), Breast Cancer Treatment Studies (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Hepatology (155 citations), Epidemiology (193 citations), Transplantation (7 citations), Applied Microbiology and Biotechnology (5 citations) and Endocrinology, Diabetes and Metabolism (30 citations). F. Agnelli has collaborated with scholars based in Italy, South Korea and Austria. Frequent co-authors include G. Rossi, Maria Francesca Donato, Cristina Rigamonti, Massimo Colombo, Giovanni Casazza, G. Ronchi, Mirella Fraquelli, Francesco Scaglione, Arianna Pani and Stefano Gatti. Their work appears in journals such as Journal of Hepatology, Digestive and Liver Disease, Annals of Medicine, Nutrients and Clinical Breast Cancer.

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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