F. Bianic

420 citations
31 papers · 314 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Hepatitis B Virus Studies
    • Cervical Cancer and HPV Research
    • Liver Disease Diagnosis and Treatment
    • Herpesvirus Infections and Treatments

Papers in

    • Influenza Virus Research Studies 7
    • Hepatitis B Virus Studies 6
    • Liver Disease Diagnosis and Treatment 5
    • Cervical Cancer and HPV Research 4
    • Hepatitis C virus research 7

F. Bianic

30 papers receiving 307 citations

Peers

F. Bianic
Comparison fields: 5 of 69
  • Hepatology 77
  • Epidemiology 188
  • Health 37
  • Orthopedics and Sports Medicine 33
  • Parasitology 13
Replace Marco Gelpi with:
Marco Gelpi Denmark
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Serge Ouoba Japan
Elena Álvarez Spain
Yuzhu Yin China
Margarita Dehesa-Violante Mexico
Hannelore Sprenger-Mähr Austria
Vijaya Srinivasan India
Tony Fulford United Kingdom
F. Bianic relative to Marco Gelpi Denmark Marco Gelpi's profile →
Citations per field
00.5×10×13×
Marco Gelpi · 1×
Citations per year

Countries citing papers authored by F. Bianic

Since Specialization
Citations

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

Fields of papers citing papers by F. Bianic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201736
2 201634
3 202033
4 201931
5 201326
6 201124
7 201323
8 201617
9 201515
10 201215
11 201411
12 20157
13 20137
14 20216
15 20174
16 20184
17 20213
18 20183
19 20192
20 20152

About F. Bianic

F. Bianic is a scholar working on Epidemiology, Hepatology, Health, Surgery and Infectious Diseases, having authored 31 papers that have together received 314 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Hepatitis C virus research (7 papers), Vaccine Coverage and Hesitancy (7 papers), Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Cervical Cancer and HPV Research (4 papers), Bone health and osteoporosis research (2 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Hepatology (77 citations), Epidemiology (188 citations), Health (37 citations), Orthopedics and Sports Medicine (33 citations) and Parasitology (13 citations). F. Bianic has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include S. Cure, M. Uhart, Nathalie Largeron, Sandra Gavart, Seina Lee, Geoffrey Dusheiko, Setareh A. Williams, Karl Ulrich Petry, Lorraine A. Fitzpatrick and M. Martin. Their work appears in journals such as Value in Health, Journal of Medical Economics, PLoS ONE, Applied Health Economics and Health Policy and Human Vaccines & Immunotherapeutics.

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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