Claire Ramus

1.6k total citations
19 papers, 1.2k citations indexed

About

Claire Ramus is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Claire Ramus has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Claire Ramus's work include Advanced Proteomics Techniques and Applications (6 papers), Mitochondrial Function and Pathology (3 papers) and Metabolism and Genetic Disorders (3 papers). Claire Ramus is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Mitochondrial Function and Pathology (3 papers) and Metabolism and Genetic Disorders (3 papers). Claire Ramus collaborates with scholars based in France, United States and Belgium. Claire Ramus's co-authors include Christophe Bruley, Yohann Couté, Jérôme Garin, Myriam Ferro, Sabine Brugière, Jean‐Paul Issartel, Jacques Joyard, Stéphane Miras, Magali Court and Norbert Rolland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Blood.

In The Last Decade

Claire Ramus

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claire Ramus France 13 892 323 198 134 127 19 1.2k
Yves Vandenbrouck France 19 977 1.1× 155 0.5× 85 0.4× 298 2.2× 148 1.2× 40 1.7k
Jean‐François Jacques Canada 16 831 0.9× 52 0.2× 161 0.8× 107 0.8× 57 0.4× 21 1.1k
Michalis Aivaliotis Greece 22 952 1.1× 70 0.2× 137 0.7× 216 1.6× 98 0.8× 65 1.3k
Johana Chicher France 17 768 0.9× 282 0.9× 52 0.3× 41 0.3× 253 2.0× 34 1.1k
H. Alexander Ebhardt Canada 16 1.1k 1.3× 407 1.3× 62 0.3× 188 1.4× 327 2.6× 35 1.6k
Chee Sian Gan Singapore 18 829 0.9× 92 0.3× 89 0.4× 451 3.4× 109 0.9× 18 1.2k
Yong‐In Kim South Korea 15 875 1.0× 46 0.1× 102 0.5× 59 0.4× 56 0.4× 26 1.1k
Maurice H. Vaughan United States 17 1.7k 1.9× 249 0.8× 109 0.6× 58 0.4× 65 0.5× 30 2.0k
Joris J. Benschop Netherlands 20 1.3k 1.4× 1.0k 3.2× 119 0.6× 165 1.2× 32 0.3× 28 2.0k
T Date Japan 23 1.6k 1.8× 120 0.4× 261 1.3× 18 0.1× 50 0.4× 36 2.2k

Countries citing papers authored by Claire Ramus

Since Specialization
Citations

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

Fields of papers citing papers by Claire Ramus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Ramus

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Ramus. A scholar is included among the top collaborators of Claire Ramus 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 Claire Ramus. Claire Ramus 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
2.
Ramus, Claire, et al.. (2021). Formative and Validation Human Factors studies of a new disposable autoinjector for subcutaneous delivery of chronic disease therapies. Expert Opinion on Drug Delivery. 18(11). 1761–1775. 6 indexed citations
3.
Jaquinod, Michel, Lucid Belmudes, Yohann Couté, et al.. (2019). Comprehensive and comparative exploration of the Atp7b−/− mouse plasma proteome. Metallomics. 12(2). 249–258. 5 indexed citations
4.
Adam, Céline, Raphaël Guérois, Claire Ramus, et al.. (2018). The PHD finger protein Spp1 has distinct functions in the Set1 and the meiotic DSB formation complexes. PLoS Genetics. 14(2). e1007223–e1007223. 32 indexed citations
5.
Muyt, Arnaud De, Jessica Andréani, Lepakshi Ranjha, et al.. (2018). A meiotic XPF–ERCC1-like complex recognizes joint molecule recombination intermediates to promote crossover formation. Genes & Development. 32(3-4). 283–296. 69 indexed citations
6.
Ramus, Claire, Jonathan Perot, Marie Arlotto, et al.. (2017). Bdf1 Bromodomains Are Essential for Meiosis and the Expression of Meiotic-Specific Genes. PLoS Genetics. 13(1). e1006541–e1006541. 10 indexed citations
7.
Gianetto, Quentin Giai, Florence Combes, Claire Ramus, et al.. (2015). Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments. PROTEOMICS. 16(1). 29–32. 51 indexed citations
8.
Ramus, Claire, Agnès Hovasse, Marlène Marcellin, et al.. (2015). Benchmarking quantitative label-free LC–MS data processing workflows using a complex spiked proteomic standard dataset. Journal of Proteomics. 132. 51–62. 61 indexed citations
9.
Ramus, Claire, Agnès Hovasse, Marlène Marcellin, et al.. (2015). Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods. Data in Brief. 6. 286–294. 28 indexed citations
10.
Legendre, Matthieu, Audrey Lartigue, Lionel Bertaux, et al.. (2015). In-depth study of Mollivirus sibericum , a new 30,000-y-old giant virus infecting Acanthamoeba. Proceedings of the National Academy of Sciences. 112(38). E5327–35. 220 indexed citations
11.
Guttin, Audrey, Michèle El Atifi, Claire Ramus, et al.. (2011). MicroRNA and Target Protein Patterns Reveal Physiopathological Features of Glioma Subtypes. PLoS ONE. 6(5). e20600–e20600. 116 indexed citations
13.
Bouamrani, Ali, Claire Ramus, Emmanuel Gay, et al.. (2010). Increased Phosphorylation of Vimentin in Noninfiltrative Meningiomas. PLoS ONE. 5(2). e9238–e9238. 28 indexed citations
14.
Ferro, Myriam, Sabine Brugière, Daniel Salvi, et al.. (2010). AT_CHLORO, a Comprehensive Chloroplast Proteome Database with Subplastidial Localization and Curated Information on Envelope Proteins. Molecular & Cellular Proteomics. 9(6). 1063–1084. 381 indexed citations
15.
Nicolas, Émmanuelle, Claire Ramus, Sylvie Berthier, et al.. (2010). Expression of S100A8 in leukemic cells predicts poor survival in de novo AML patients. Leukemia. 25(1). 57–65. 46 indexed citations
16.
Mossuz, Pascal, Émmanuelle Nicolas, Claire Ramus, et al.. (2009). Expression of S100A8 in Leukemic Cells Predicts Poor Survival in De Novo AML Patients.. Blood. 114(22). 276–276. 4 indexed citations
17.
Ramus, Claire, et al.. (2005). An Optimized Strategy for ICAT Quantification of Membrane Proteins. Molecular & Cellular Proteomics. 5(1). 68–78. 30 indexed citations
18.
Dahout-Gonzalez, Cécile, et al.. (2005). Conformation-Dependent Swinging of the Matrix Loop m2 of the Mitochondrial Saccharomyces cerevisiae ADP/ATP Carrier. Biochemistry. 44(49). 16310–16320. 20 indexed citations
19.
Bourges, Ingrid, Claire Ramus, Bénédicte Mousson de Camaret, et al.. (2004). Structural organization of mitochondrial human complex I: role of the ND4 and ND5 mitochondria-encoded subunits and interaction with prohibitin. Biochemical Journal. 383(3). 491–499. 117 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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