Bart Fevery

2.0k citations
35 papers · 949 · h-index 15

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis C virus research 29
    • Liver Disease and Transplantation 1
    • Hepatitis B Virus Studies 16
    • Liver Disease Diagnosis and Treatment 10

Bart Fevery

35 papers receiving 937 citations

Peers

Bart Fevery
Comparison fields: 5 of 36
  • Hepatology 928
  • Epidemiology 849
  • Infectious Diseases 317
  • Rheumatology 74
  • Virology 14
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Citations per field
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Citations per year

Countries citing papers authored by Bart Fevery

Since Specialization
Citations

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

Fields of papers citing papers by Bart Fevery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016143
2 2015142
3 2014110
4 201582
5 201269
6 201563
7 201551
8 201550
9 201327
10 201625
11 201424
12 201221
13 201020
14 201520
15 201316
16
TMC435 IN COMBINATION WITH PEGINTERFERON ALPHA-2A/RIBAVIRIN IN TREATMENT-NAiVE PATIENTS INFECTED WITH HCV GENOTYPE 1: VIROLOGY ANALYSIS OF THE PILLAR STUDY
20118
17 20158
18 20198
19 20217
20 20186

About Bart Fevery

Bart Fevery is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Rheumatology and Molecular Biology, having authored 35 papers that have together received 949 indexed citations. Recurring topics across this work include Hepatitis C virus research (29 papers), Hepatitis B Virus Studies (16 papers), HIV/AIDS drug development and treatment (12 papers), Liver Disease Diagnosis and Treatment (10 papers), Systemic Lupus Erythematosus Research (5 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Biological Research and Disease Studies (2 papers) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Hepatology (928 citations), Epidemiology (849 citations), Infectious Diseases (317 citations), Rheumatology (74 citations) and Virology (14 citations). Bart Fevery has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Oliver Lenz, Monika Peeters, Gastón Picchio, Leen Vijgen, Ronald Kalmeijer, Guy De La Rosa, Sandra De Meyer, Thierry Verbinnen, James Witek and Jane Scott. Their work appears in journals such as Journal of Hepatology, Hepatology, Antiviral Therapy, Clinical Chemistry and Laboratory Medicine (CCLM) and Virology Journal.

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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