Laetitia Fend

18 papers and 432 indexed citations i.

About

Laetitia Fend is a scholar working on Oncology, Genetics and Immunology. According to data from OpenAlex, Laetitia Fend has authored 18 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 14 papers in Genetics and 7 papers in Immunology. Recurrent topics in Laetitia Fend’s work include Virus-based gene therapy research (14 papers), CAR-T cell therapy research (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Laetitia Fend is often cited by papers focused on Virus-based gene therapy research (14 papers), CAR-T cell therapy research (12 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Laetitia Fend collaborates with scholars based in France, Sweden and Czechia. Laetitia Fend's co-authors include Xavier Préville, Laurence Zitvogel, Murielle Gantzer, Guido Kroemer, Éric Quéméneur, Jean‐Baptiste Marchand, Julien Adam, Sylvie Fournel, Aurélien Marabelle and Karola Rittner and has published in prestigious journals such as PLoS ONE, Cancer Research and Cancer Immunology Research.

In The Last Decade

Co-authorship network of co-authors of Laetitia Fend i

Fields of papers citing papers by Laetitia Fend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laetitia Fend

Since Specialization
Citations

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

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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2025