Marie-C. Béné

15 total papers · 455 total citations
4 papers, 321 citations indexed

About

Marie-C. Béné is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Marie-C. Béné has authored 4 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Genetics. Recurrent topics in Marie-C. Béné's work include Immune Cell Function and Interaction (2 papers), Hemophilia Treatment and Research (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). Marie-C. Béné is often cited by papers focused on Immune Cell Function and Interaction (2 papers), Hemophilia Treatment and Research (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). Marie-C. Béné collaborates with scholars based in France. Marie-C. Béné's co-authors include G Fauré, Marie‐Nathalie Kolopp‐Sarda, Bruno Lévy, Pierre‐Édouard Bollaert, Alain Lozniewski, Sébastien Gibot, Marianne Sigaud, Sabrina Bouyer, Caroline Mayeur‐Rousse and Marc Fouassier and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Haemophilia.

In The Last Decade

Marie-C. Béné

4 papers receiving 309 citations

Author Peers

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

Author Last Decade Papers Cites
Marie-C. Béné 307 56 52 31 27 4 321
Angela Flores 89 0.3× 139 2.5× 104 2.0× 9 0.3× 30 1.1× 7 343
Mary Bach 113 0.4× 15 0.3× 45 0.9× 32 1.0× 7 0.3× 6 354
Natasha M. Fewkes 130 0.4× 22 0.4× 44 0.8× 11 0.4× 60 2.2× 5 343
Franziska Kraft 179 0.6× 12 0.2× 27 0.5× 31 1.0× 5 0.2× 5 334
Sharon Banschbach 62 0.2× 57 1.0× 172 3.3× 45 1.5× 15 0.6× 5 245
Roger Jen 136 0.4× 59 1.1× 92 1.8× 34 1.1× 27 1.0× 7 338
Kate Timms 76 0.2× 53 0.9× 70 1.3× 13 0.4× 113 4.2× 6 346
Dunhao Su 118 0.4× 19 0.3× 82 1.6× 27 0.9× 4 0.1× 5 242
Meghana Patel 115 0.4× 19 0.3× 36 0.7× 61 2.0× 3 0.1× 5 328
Rebecca Shi 106 0.3× 48 0.9× 111 2.1× 102 3.3× 34 1.3× 8 359

Countries citing papers authored by Marie-C. Béné

Since Specialization
Citations

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

Fields of papers citing papers by Marie-C. Béné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-C. Béné. 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 Marie-C. Béné. The network helps show where Marie-C. Béné may publish in the future.

Co-authorship network of co-authors of Marie-C. Béné

This figure shows the co-authorship network connecting the top 25 collaborators of Marie-C. Béné. A scholar is included among the top collaborators of Marie-C. Béné 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 Marie-C. Béné. Marie-C. Béné 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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