Marine Beinat

786 total citations
8 papers, 560 citations indexed

About

Marine Beinat is a scholar working on Molecular Biology, Clinical Biochemistry and Surgery. According to data from OpenAlex, Marine Beinat has authored 8 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Clinical Biochemistry and 2 papers in Surgery. Recurrent topics in Marine Beinat's work include Mitochondrial Function and Pathology (5 papers), Metabolism and Genetic Disorders (5 papers) and RNA modifications and cancer (3 papers). Marine Beinat is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Metabolism and Genetic Disorders (5 papers) and RNA modifications and cancer (3 papers). Marine Beinat collaborates with scholars based in France, Israel and Switzerland. Marine Beinat's co-authors include Daniel Hesselson, Ryan M. Anderson, Didier Y. R. Stainier, Agnès Rötig, Arnold Münnich, Nathalie Boddaert, Valérie Serre, Dominique Chrétien, Avraham Zeharia and Ann Saada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The American Journal of Human Genetics.

In The Last Decade

Marine Beinat

8 papers receiving 555 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marine Beinat France	7	452	132	89	83	78	8	560
Catherine Brunel‐Guitton Canada	14	454 1.0×	203 1.5×	38 0.4×	56 0.7×	41 0.5×	28	621
Sara Scapolan Italy	10	271 0.6×	70 0.5×	49 0.6×	45 0.5×	19 0.2×	11	348
Margrethe Kjeldsen Denmark	9	254 0.6×	194 1.5×	45 0.5×	20 0.2×	34 0.4×	13	339
Karen L. Yager United States	8	351 0.8×	53 0.4×	117 1.3×	39 0.5×	41 0.5×	8	493
Luca Sessa Italy	8	243 0.5×	148 1.1×	51 0.6×	18 0.2×	11 0.1×	8	429
Faye Haldane United Kingdom	9	304 0.7×	37 0.3×	22 0.2×	95 1.1×	18 0.2×	10	401
Donna K. Mahnke-Zizelman United States	11	243 0.5×	27 0.2×	66 0.7×	65 0.8×	38 0.5×	12	352
Lisa Worgan Australia	9	281 0.6×	189 1.4×	65 0.7×	25 0.3×	8 0.1×	14	376
Devashish Das Netherlands	11	286 0.6×	25 0.2×	40 0.4×	43 0.5×	13 0.2×	11	340
Solange Vischer Switzerland	6	342 0.8×	32 0.2×	91 1.0×	48 0.6×	283 3.6×	6	584

Countries citing papers authored by Marine Beinat

Since Specialization

Citations

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

Fields of papers citing papers by Marine Beinat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marine Beinat

This figure shows the co-authorship network connecting the top 25 collaborators of Marine Beinat. A scholar is included among the top collaborators of Marine Beinat 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 Marine Beinat. Marine Beinat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Mach, Núria, Sandra Plancade, Alicja Pacholewska, et al.. (2016). Integrated mRNA and miRNA expression profiling in blood reveals candidate biomarkers associated with endurance exercise in the horse. Scientific Reports. 6(1). 22932–22932. 50 indexed citations

Serre, Valérie, Agata Rozanska, Marine Beinat, et al.. (2013). Mutations in mitochondrial ribosomal protein MRPL12 leads to growth retardation, neurological deterioration and mitochondrial translation deficiency. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(8). 1304–1312. 74 indexed citations

Davit–Spraul, Anne, Marine Beinat, Dominique Debray, et al.. (2013). Secondary Mitochondrial Respiratory Chain Defect Can Delay Accurate PFIC2 Diagnosis. JIMD Reports. 14. 17–21. 7 indexed citations

Galmiche, Louise, Valérie Serre, Marine Beinat, et al.. (2011). Exome sequencing identifies MRPL3 mutation in mitochondrial cardiomyopathy. Human Mutation. 32(11). 1225–1231. 110 indexed citations

Galmiche, Louise, Valérie Serre, Marine Beinat, et al.. (2011). Toward genotype phenotype correlations in GFM1 mutations. Mitochondrion. 12(2). 242–247. 14 indexed citations

Zeharia, Avraham, Avraham Shaag, Orit Pappo, et al.. (2010). Acute Infantile Liver Failure Due to Mutations in the TRMU Gene. The American Journal of Human Genetics. 86(2). 295–295. 4 indexed citations

Hesselson, Daniel, Ryan M. Anderson, Marine Beinat, & Didier Y. R. Stainier. (2009). Distinct populations of quiescent and proliferative pancreatic β-cells identified by HOTcre mediated labeling. Proceedings of the National Academy of Sciences. 106(35). 14896–14901. 140 indexed citations

Zeharia, Avraham, Avraham Shaag, Orit Pappo, et al.. (2009). Acute Infantile Liver Failure Due to Mutations in the TRMU Gene. The American Journal of Human Genetics. 85(3). 401–407. 161 indexed citations

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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