Benoît Flan

570 citations
17 papers · 455 · h-index 9

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Viral gastroenteritis research and epidemiology
    • Parvovirus B19 Infection Studies

Papers in

Benoît Flan

17 papers receiving 437 citations

Peers

Benoît Flan
Comparison fields: 5 of 73
  • Hepatology 207
  • Infectious Diseases 220
  • Dermatology 52
  • Hematology 43
  • Management of Technology and Innovation 26
Replace Lina Mouna with:
Lina Mouna France
J. H. Hoofnagle United States
Л.И. Чернышова Ukraine
Keren M. Rabinowitz Israel
Ahmad Nejati Iran
Jeffrey Quinn United States
Marcelo Addas‐Carvalho Brazil
Hanna Stenstad Sweden
Peter A. C. Wing United Kingdom
Franziska Scherer Switzerland
Benoît Flan relative to Lina Mouna France Lina Mouna's profile →
Citations per field
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Citations per year

Countries citing papers authored by Benoît Flan

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Flan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2017133
2 2017109
3 200053
4 200043
5 200723
6 201815
7 201112
8 201911
9 201711
10 20178
11 20098
12 20148
13 20137
14 19996
15 19954
16 19962
17 20052

About Benoît Flan

Benoît Flan is a scholar working on Molecular Biology, Infectious Diseases, Hepatology, Dermatology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 455 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (8 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Parvovirus B19 Infection Studies (2 papers), Hepatitis C virus research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Liver Disease and Transplantation (2 papers), Animal Disease Management and Epidemiology (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Hepatology (207 citations), Infectious Diseases (220 citations), Dermatology (52 citations), Hematology (43 citations) and Management of Technology and Innovation (26 citations). Benoît Flan has collaborated with scholars based in France, Spain and Ireland. Frequent co-authors include Jean‐Thierry Aubin, Christine Defer, Michel Vidaud, Steve Simoneau, Bruno You, Sabine Chapuy‐Regaud, Justine Bertrand‐Michel, Jacques Izopet, Pierre‐Emmanuel Gleizes and Sébastien Lhomme. Their work appears in journals such as Biologicals, Transfusion, Eurosurveillance, Vox Sanguinis and PLoS ONE.

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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