M P Font

12 papers and 386 indexed citations i.

About

M P Font is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, M P Font has authored 12 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in M P Font’s work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Diabetes and associated disorders (3 papers). M P Font is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Diabetes and associated disorders (3 papers). M P Font collaborates with scholars based in France and Israel. M P Font's co-authors include J Dausset, Daniel Cohen, A. Marcadet, I Le Gall, Jean-Marc Lalouel, Howard M. Cann, Pascale Paul, Chaim Brautbar, L d'Auriol and Nadine Cohen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of M P Font i

Fields of papers citing papers by M P Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M P Font. 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 M P Font. The network helps show where M P Font may publish in the future.

Countries citing papers authored by M P Font

Since Specialization
Citations

This map shows the geographic impact of M P Font'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 M P Font with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M P Font 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