C. Maubaret

1.5k total citations
19 papers, 618 citations indexed

About

C. Maubaret is a scholar working on Molecular Biology, Physiology and Sensory Systems. According to data from OpenAlex, C. Maubaret has authored 19 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Physiology and 3 papers in Sensory Systems. Recurrent topics in C. Maubaret's work include Retinal Development and Disorders (5 papers), Telomeres, Telomerase, and Senescence (4 papers) and Adipose Tissue and Metabolism (3 papers). C. Maubaret is often cited by papers focused on Retinal Development and Disorders (5 papers), Telomeres, Telomerase, and Senescence (4 papers) and Adipose Tissue and Metabolism (3 papers). C. Maubaret collaborates with scholars based in United Kingdom, France and United States. C. Maubaret's co-authors include Steve E. Humphries, Klelia D. Salpea, Jackie A. Cooper, Philippa J. Talmud, Jeffrey W. Stephens, Christian Hamel, Pascale Barberger‐Gateau, Shomi S. Bhattacharya, Anders Hamsten and Cécile Delcourt and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and The Journal of the Acoustical Society of America.

In The Last Decade

C. Maubaret

19 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Maubaret United Kingdom 13 308 239 83 61 43 19 618
Riya R. Kanherkar United States 7 85 0.3× 250 1.0× 27 0.3× 44 0.7× 64 1.5× 7 516
K Miyao Japan 6 129 0.4× 73 0.3× 83 1.0× 5 0.1× 45 1.0× 15 427
Ivette Estay United States 4 183 0.6× 206 0.9× 74 0.9× 3 0.0× 27 0.6× 5 537
Laila Bendix Denmark 14 349 1.1× 146 0.6× 119 1.4× 3 0.0× 64 1.5× 23 544
Katarina Nordfjäll Sweden 11 904 2.9× 242 1.0× 338 4.1× 4 0.1× 140 3.3× 11 1.1k
Christopher E McMurran United Kingdom 10 74 0.2× 131 0.5× 14 0.2× 10 0.2× 11 0.3× 21 436
Efthymia Melista United States 10 107 0.3× 227 0.9× 128 1.5× 3 0.0× 104 2.4× 14 626
Gabriel Sturm United States 11 102 0.3× 222 0.9× 39 0.5× 3 0.0× 36 0.8× 16 470
Guangyu Zhang United States 13 121 0.4× 197 0.8× 6 0.1× 5 0.1× 26 0.6× 29 614
Eleonora Porcu Switzerland 12 38 0.1× 164 0.7× 20 0.2× 13 0.2× 47 1.1× 16 475

Countries citing papers authored by C. Maubaret

Since Specialization
Citations

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

Fields of papers citing papers by C. Maubaret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Maubaret

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

All Works

19 of 19 papers shown
3.
Brailly‐Tabard, Sylvie, Marie‐Laure Ancelin, C. Maubaret, et al.. (2014). Plasma Estrogen Levels, Estrogen Receptor Gene Variation, and Ischemic Arterial Disease in Postmenopausal Women: The Three-City Prospective Cohort Study. The Journal of Clinical Endocrinology & Metabolism. 99(8). E1539–E1546. 10 indexed citations
4.
Edjolo, Arlette, Catherine Helmer, Pascale Barberger‐Gateau, et al.. (2013). Becoming a nonagenarian: Factors associated with survival up to 90 years old in 70+ men and women. Results from the paquid longitudinal cohort. The journal of nutrition health & aging. 17(10). 881–892. 13 indexed citations
5.
Maubaret, C., Klelia D. Salpea, Casey E. Romanoski, et al.. (2013). Association of TERC and OBFC1 Haplotypes with Mean Leukocyte Telomere Length and Risk for Coronary Heart Disease. PLoS ONE. 8(12). e83122–e83122. 42 indexed citations
6.
Salpea, Klelia D., et al.. (2013). The Effect of Pro-Inflammatory Conditioning and/or High Glucose on Telomere Shortening of Aging Fibroblasts. PLoS ONE. 8(9). e73756–e73756. 19 indexed citations
7.
Merle, B., C. Maubaret, Jean‐François Korobelnik, et al.. (2013). Association of HDL-Related Loci with Age-Related Macular Degeneration and Plasma Lutein and Zeaxanthin: the Alienor Study. PLoS ONE. 8(11). e79848–e79848. 39 indexed citations
8.
Pérès, Karine, Fanny Matharan, Michèle Allard, et al.. (2012). Health and aging in elderly farmers: the AMI cohort. BMC Public Health. 12(1). 558–558. 68 indexed citations
9.
Maubaret, C., Sancy Low, Christina Chakarova, et al.. (2012). Functional characterization of a novel c.614-622del rhodopsin mutation in a French pedigree with retinitis pigmentosa.. PubMed. 18. 581–7. 3 indexed citations
10.
Maubaret, C., Veronika Vaclavik, Naushin Waseem, et al.. (2011). Autosomal Dominant Retinitis Pigmentosa with Intrafamilial Variability and Incomplete Penetrance in Two Families Carrying Mutations inPRPF8. Investigative Ophthalmology & Visual Science. 52(13). 9304–9304. 32 indexed citations
11.
Maubaret, C., Klelia D. Salpea, Jackie A. Cooper, et al.. (2010). Telomeres are shorter in myocardial infarction patients compared to healthy subjects: correlation with environmental risk factors. Journal of Molecular Medicine. 88(8). 785–794. 38 indexed citations
12.
Towns, Katherine V., Vernon Long, Martin McKibbin, et al.. (2010). Prognosis for splicing factor PRPF8 retinitis pigmentosa, novel mutations and correlation between human and yeast phenotypes. Human Mutation. 31(5). E1361–E1376. 30 indexed citations
13.
Salpea, Klelia D., Philippa J. Talmud, Jackie A. Cooper, et al.. (2009). Association of telomere length with type 2 diabetes, oxidative stress and UCP2 gene variation. Atherosclerosis. 209(1). 42–50. 231 indexed citations
14.
Bujakowska, Kinga M., C. Maubaret, Christina Chakarova, et al.. (2009). Study of Gene-Targeted Mouse Models of Splicing Factor GenePrpf31Implicated in Human Autosomal Dominant Retinitis Pigmentosa (RP). Investigative Ophthalmology & Visual Science. 50(12). 5927–5927. 40 indexed citations
15.
Maubaret, C., Richard J. Heads, S Dhamrait, Hugh Montgomery, & Steve E. Humphries. (2009). DOWN-REGULATION OF ACE EXPRESSION IN HUVECS USING siRNA RESULTS IN DOWN-REGULATION OF UCP2 EXPRESSION: A POTENTIAL MECHANISM OF THE CLINICAL BENEFIT OF ACE-INHIBITORS?. Atherosclerosis. 207(1). e10–e10. 1 indexed citations
16.
Maubaret, C. & Christian Hamel. (2005). Génétique des rétinites pigmentaires : classification métabolique et corrélations phénotype/génotype. Journal Français d Ophtalmologie. 28(1). 71–92. 13 indexed citations
17.
Maubaret, C., Jean‐Michel Griffoin, Bernard Arnaud, & Christian P. Hamel. (2005). Novel Mutations inMYO7AandUSH2Ain Usher Syndrome. Ophthalmic Genetics. 26(1). 25–29. 12 indexed citations
18.
Maubaret, C., et al.. (2002). Identification of Preferentially Expressed mRNAs in Retina and Cochlea. DNA and Cell Biology. 21(11). 781–791. 15 indexed citations
19.
Demany, Laurent, et al.. (2000). Specific learning phenomena in pitch discrimination tasks. The Journal of the Acoustical Society of America. 108(5_Supplement). 2596–2596. 1 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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