Pascale Ribaı̈

37 total papers · 4.4k total citations
18 papers, 635 citations indexed

About

Pascale Ribaı̈ is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Pascale Ribaı̈ has authored 18 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in Pascale Ribaı̈'s work include Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers) and Hereditary Neurological Disorders (4 papers). Pascale Ribaı̈ is often cited by papers focused on Genetic Neurodegenerative Diseases (7 papers), Mitochondrial Function and Pathology (6 papers) and Hereditary Neurological Disorders (4 papers). Pascale Ribaı̈ collaborates with scholars based in France, Belgium and Italy. Pascale Ribaı̈'s co-authors include Alexandra Dürr, Alexis Brice, Sylvie Forlani, Karine Nguyen, Giovanni Stévanin, Valérie Hahn‐Barma, Christel Depienne, Cyril Goizet, Merle Ruberg and Perrine Charles and has published in prestigious journals such as Brain, Neurology and The American Journal of Human Genetics.

In The Last Decade

Pascale Ribaı̈

18 papers receiving 613 citations

Author Peers

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

Author						Papers	Cites
Pascale Ribaı̈	494	360	279	130	67	18	635
Maria Rakowicz	478 1.0×	369 1.0×	295 1.1×	140 1.1×	49 0.7×	32	642
H. Grehl	326 0.7×	215 0.6×	246 0.9×	118 0.9×	32 0.5×	32	614
Utako Nagaoka	275 0.6×	288 0.8×	273 1.0×	71 0.5×	91 1.4×	29	624
Cláudia Melo	382 0.8×	219 0.6×	146 0.5×	129 1.0×	82 1.2×	32	577
J. Blake	462 0.9×	250 0.7×	276 1.0×	124 1.0×	43 0.6×	10	674
José Leal Loureiro	587 1.2×	363 1.0×	227 0.8×	191 1.5×	109 1.6×	17	649
Yaeko Ichikawa	327 0.7×	338 0.9×	215 0.8×	119 0.9×	92 1.4×	33	654
Robyn Labrum	397 0.8×	484 1.3×	174 0.6×	62 0.5×	44 0.7×	21	769
María José Chumillas	522 1.1×	246 0.7×	262 0.9×	230 1.8×	83 1.2×	14	763
Cécilia Marelli	322 0.7×	376 1.0×	219 0.8×	169 1.3×	23 0.3×	34	675

Countries citing papers authored by Pascale Ribaı̈

Since Specialization

Citations

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

Fields of papers citing papers by Pascale Ribaı̈

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascale Ribaı̈

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