Françoise Darthuy

19 total papers · 995 total citations
17 papers, 794 citations indexed

About

Françoise Darthuy is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Françoise Darthuy has authored 17 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hepatology, 10 papers in Epidemiology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Françoise Darthuy's work include Hepatitis C virus research (16 papers), Hepatitis B Virus Studies (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Françoise Darthuy is often cited by papers focused on Hepatitis C virus research (16 papers), Hepatitis B Virus Studies (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Françoise Darthuy collaborates with scholars based in France, Belgium and United States. Françoise Darthuy's co-authors include Jean–Michel Pawlotsky, Daniel Dhumeaux, Jocelyne Rémiré, Christophe Hézode, Anne Bastie, Magali Bouvier‐Alias, Claude–James Soussy, I. Lonjon, J Duval and C Pellet and has published in prestigious journals such as Hepatology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Françoise Darthuy

17 papers receiving 760 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Françoise Darthuy 729 652 96 84 61 17 794
Jocelyne Rémiré 694 1.0× 615 0.9× 96 1.0× 79 0.9× 61 1.0× 17 751
Masataka Sakamoto 821 1.1× 713 1.1× 109 1.1× 90 1.1× 108 1.8× 22 968
Betsy Jett 616 0.8× 550 0.8× 64 0.7× 79 0.9× 57 0.9× 9 730
M. Duhamel 574 0.8× 532 0.8× 86 0.9× 102 1.2× 59 1.0× 8 743
Stella Quan 883 1.2× 746 1.1× 70 0.7× 105 1.3× 40 0.7× 19 1.0k
Jennifer E. Layden‐Almer 709 1.0× 654 1.0× 64 0.7× 87 1.0× 38 0.6× 16 903
D. Cavalletto 731 1.0× 700 1.1× 78 0.8× 55 0.7× 41 0.7× 19 814
Karen Cristiano 580 0.8× 538 0.8× 99 1.0× 167 2.0× 31 0.5× 22 777
J.M. Sánchez‐Tapias 726 1.0× 637 1.0× 97 1.0× 68 0.8× 20 0.3× 20 771
T.-H. Wang 688 0.9× 650 1.0× 50 0.5× 67 0.8× 29 0.5× 11 914

Countries citing papers authored by Françoise Darthuy

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Darthuy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Darthuy

This figure shows the co-authorship network connecting the top 25 collaborators of Françoise Darthuy. A scholar is included among the top collaborators of Françoise Darthuy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Françoise Darthuy. Françoise Darthuy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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