Vinca Icard

28 total papers · 719 total citations
18 papers, 549 citations indexed

About

Vinca Icard is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Vinca Icard has authored 18 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 9 papers in Virology and 9 papers in Epidemiology. Recurrent topics in Vinca Icard's work include HIV/AIDS Research and Interventions (9 papers), HIV Research and Treatment (9 papers) and HIV/AIDS drug development and treatment (5 papers). Vinca Icard is often cited by papers focused on HIV/AIDS Research and Interventions (9 papers), HIV Research and Treatment (9 papers) and HIV/AIDS drug development and treatment (5 papers). Vinca Icard collaborates with scholars based in France, Germany and Spain. Vinca Icard's co-authors include Patrice André, Caroline Scholtès, Christophe Ramière, Olivier Diaz, Vincent Lotteau, Mary‐Anne Trabaud, Laure Perrin‐Cocon, Ralf Bartenschlager, Bruno Lina and François Pénin and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Virology.

In The Last Decade

Vinca Icard

17 papers receiving 538 citations

Author Peers

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

Author Last Decade Papers Cites
Vinca Icard 274 240 208 125 56 18 549
Vincent Jeantils 263 1.0× 253 1.1× 121 0.6× 117 0.9× 31 0.6× 22 460
Ming Chang 215 0.8× 191 0.8× 208 1.0× 176 1.4× 83 1.5× 30 583
Giulia Tositti 334 1.2× 166 0.7× 271 1.3× 64 0.5× 18 0.3× 28 607
Mariacarmela Solmone 397 1.4× 166 0.7× 363 1.7× 99 0.8× 51 0.9× 31 563
R Roué 142 0.5× 195 0.8× 166 0.8× 123 1.0× 43 0.8× 37 593
Martin McMorrow 357 1.3× 134 0.6× 412 2.0× 149 1.2× 30 0.5× 10 537
K. H. Mayer 192 0.7× 259 1.1× 71 0.3× 122 1.0× 35 0.6× 10 540
Megan Crane 418 1.5× 207 0.9× 308 1.5× 133 1.1× 27 0.5× 22 616
Richard A. Zuckerman 358 1.3× 219 0.9× 74 0.4× 139 1.1× 27 0.5× 20 614
Huub C. Gelderblom 193 0.7× 154 0.6× 190 0.9× 99 0.8× 63 1.1× 27 515

Countries citing papers authored by Vinca Icard

Since Specialization
Citations

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

Fields of papers citing papers by Vinca Icard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinca Icard

This figure shows the co-authorship network connecting the top 25 collaborators of Vinca Icard. A scholar is included among the top collaborators of Vinca Icard 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 Vinca Icard. Vinca Icard 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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