Farida Laboune

40 total papers · 1.8k total citations
6 papers, 53 citations indexed

About

Farida Laboune is a scholar working on Immunology, Infectious Diseases and Virology. According to data from OpenAlex, Farida Laboune has authored 6 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Infectious Diseases and 3 papers in Virology. Recurrent topics in Farida Laboune's work include HIV Research and Treatment (3 papers), Immune responses and vaccinations (2 papers) and HIV-related health complications and treatments (2 papers). Farida Laboune is often cited by papers focused on HIV Research and Treatment (3 papers), Immune responses and vaccinations (2 papers) and HIV-related health complications and treatments (2 papers). Farida Laboune collaborates with scholars based in United States, Germany and Japan. Farida Laboune's co-authors include Daniel C. Douek, Samuel Darko, Joseph P. Casazza, Nicolas Hengartner, Jason Hataye, Amy R. Henry, Richard A. Koup, David R. Ambrozak, Takuya Yamamoto and C. Jason Liang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Cell Host & Microbe.

In The Last Decade

Farida Laboune

5 papers receiving 53 citations

Author Peers

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

Author Last Decade Papers Cites
Farida Laboune 31 31 24 16 6 6 53
Amy R. Henry 32 1.0× 30 1.0× 17 0.7× 16 1.0× 4 0.7× 8 53
Julia Kazmierski 18 0.6× 18 0.6× 23 1.0× 15 0.9× 5 0.8× 5 54
Francis Mwimanzi 27 0.9× 44 1.4× 25 1.0× 7 0.4× 13 2.2× 7 61
Emma Touizer 35 1.1× 44 1.4× 36 1.5× 24 1.5× 14 2.3× 7 77
Sandile Cele 56 1.8× 30 1.0× 10 0.4× 16 1.0× 11 1.8× 5 72
Kaori Nakayama‐Hosoya 14 0.5× 16 0.5× 24 1.0× 23 1.4× 6 1.0× 7 50
Emily J. Fray 27 0.9× 48 1.5× 24 1.0× 14 0.9× 16 2.7× 7 61
Matthias Schmitt-Haendle 27 0.9× 48 1.5× 29 1.2× 9 0.6× 13 2.2× 6 65
Sean C. Patro 43 1.4× 74 2.4× 32 1.3× 15 0.9× 17 2.8× 9 85
Tony Tarragona-Fiol 17 0.5× 26 0.8× 22 0.9× 24 1.5× 9 1.5× 4 57

Countries citing papers authored by Farida Laboune

Since Specialization
Citations

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

Fields of papers citing papers by Farida Laboune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farida Laboune

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