Isabelle Cournu‐Rebeix

45 total papers · 7.1k total citations
12 papers, 443 citations indexed

About

Isabelle Cournu‐Rebeix is a scholar working on Pathology and Forensic Medicine, Immunology and Rheumatology. According to data from OpenAlex, Isabelle Cournu‐Rebeix has authored 12 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Immunology and 2 papers in Rheumatology. Recurrent topics in Isabelle Cournu‐Rebeix's work include Multiple Sclerosis Research Studies (6 papers), T-cell and B-cell Immunology (3 papers) and T-cell and Retrovirus Studies (2 papers). Isabelle Cournu‐Rebeix is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), T-cell and B-cell Immunology (3 papers) and T-cell and Retrovirus Studies (2 papers). Isabelle Cournu‐Rebeix collaborates with scholars based in France, United States and Denmark. Isabelle Cournu‐Rebeix's co-authors include Bertrand Fontaine, Jens Jacob Hansen, Debbie Ang, Alexandra Dürr, Marit N. Nielsen, Niels Gregersen, Costa Georgopoulos, Peter Bross, Alexis Brice and G. Sémana and has published in prestigious journals such as Brain, The American Journal of Human Genetics and Journal of Neuroimmunology.

In The Last Decade

Isabelle Cournu‐Rebeix

11 papers receiving 436 citations

Author Peers

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

Author						Papers	Cites
Isabelle Cournu‐Rebeix	219	135	112	86	79	12	443
Sandra Larouche	148 0.7×	89 0.7×	205 1.8×	76 0.9×	135 1.7×	11	466
Cecilia B. Marta	195 0.9×	74 0.5×	67 0.6×	115 1.3×	116 1.5×	10	469
A Ilyas	158 0.7×	106 0.8×	94 0.8×	132 1.5×	84 1.1×	7	395
Ashleigh Hahn	127 0.6×	121 0.9×	108 1.0×	124 1.4×	83 1.1×	13	419
Vera Hummel	155 0.7×	70 0.5×	113 1.0×	32 0.4×	95 1.2×	9	456
Danielle E. Harlow	142 0.6×	70 0.5×	80 0.7×	100 1.2×	46 0.6×	16	369
Carolyn J. Hoban	132 0.6×	77 0.6×	101 0.9×	137 1.6×	152 1.9×	11	472
Kimberle Shen	179 0.8×	75 0.6×	191 1.7×	33 0.4×	96 1.2×	13	453
Olivia Saint‐Laurent	124 0.6×	88 0.7×	174 1.6×	71 0.8×	94 1.2×	6	385
Terra J. Frederick	172 0.8×	72 0.5×	113 1.0×	46 0.5×	51 0.6×	7	428

Countries citing papers authored by Isabelle Cournu‐Rebeix

Since Specialization

Citations

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

Fields of papers citing papers by Isabelle Cournu‐Rebeix

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabelle Cournu‐Rebeix. 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 Isabelle Cournu‐Rebeix. The network helps show where Isabelle Cournu‐Rebeix may publish in the future.

Co-authorship network of co-authors of Isabelle Cournu‐Rebeix

This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Cournu‐Rebeix. A scholar is included among the top collaborators of Isabelle Cournu‐Rebeix 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 Isabelle Cournu‐Rebeix. Isabelle Cournu‐Rebeix 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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