Valérie Choesmel

1.9k total citations
15 papers, 1.1k citations indexed

About

Valérie Choesmel is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Valérie Choesmel has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Oncology and 1 paper in Organic Chemistry. Recurrent topics in Valérie Choesmel's work include RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (9 papers) and Cancer-related gene regulation (6 papers). Valérie Choesmel is often cited by papers focused on RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (9 papers) and Cancer-related gene regulation (6 papers). Valérie Choesmel collaborates with scholars based in France, United States and Poland. Valérie Choesmel's co-authors include Pierre‐Emmanuel Gleizes, Jacques Rouquette, Marie-Françoise O’Donohue, Marlène Faubladier, Gwennaële Fichant, Sébastien Fribourg, Lydie Da Costa, Gil Tchernia, Aurore Crétien and Daniel Bacqueville and has published in prestigious journals such as Nucleic Acids Research, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Valérie Choesmel

15 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valérie Choesmel France 12 908 182 86 82 43 15 1.1k
Claire Bonfils Canada 12 956 1.1× 287 1.6× 32 0.4× 55 0.7× 42 1.0× 25 1.1k
Anderson T. Wang United Kingdom 11 778 0.9× 229 1.3× 191 2.2× 101 1.2× 34 0.8× 16 911
Etienne Antoine France 14 599 0.7× 121 0.7× 115 1.3× 106 1.3× 18 0.4× 19 711
Ružica Bago Croatia 11 513 0.6× 108 0.6× 66 0.8× 46 0.6× 30 0.7× 18 750
Michael Pranpat United States 6 1.1k 1.2× 251 1.4× 49 0.6× 48 0.6× 32 0.7× 11 1.3k
Luis A. Martinez United States 10 601 0.7× 275 1.5× 218 2.5× 67 0.8× 14 0.3× 13 755
Sandhya Kumaraswamy United States 5 909 1.0× 203 1.1× 44 0.5× 33 0.4× 27 0.6× 9 1.1k
Carol F. Franks United States 8 425 0.5× 209 1.1× 144 1.7× 25 0.3× 18 0.4× 10 640
Beicong Ma United States 10 816 0.9× 190 1.0× 178 2.1× 60 0.7× 8 0.2× 12 967
Maria Alessandra Santucci Italy 17 432 0.5× 136 0.7× 51 0.6× 31 0.4× 70 1.6× 49 740

Countries citing papers authored by Valérie Choesmel

Since Specialization
Citations

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

Fields of papers citing papers by Valérie Choesmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valérie Choesmel

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

All Works

15 of 15 papers shown
1.
Preti, Milena, Marie-Françoise O’Donohue, Nathalie Montel-Lehry, et al.. (2013). Gradual processing of the ITS1 from the nucleolus to the cytoplasm during synthesis of the human 18S rRNA. Nucleic Acids Research. 41(8). 4709–4723. 70 indexed citations
2.
Doherty, Leana, Mee Rie Sheen, Adrianna Vlachos, et al.. (2010). Ribosomal Protein Genes RPS10 and RPS26 Are Commonly Mutated in Diamond-Blackfan Anemia. The American Journal of Human Genetics. 86(4). 655–656. 5 indexed citations
3.
Carron, Clémence, Marie-Françoise O’Donohue, Valérie Choesmel, Marlène Faubladier, & Pierre‐Emmanuel Gleizes. (2010). Analysis of two human pre-ribosomal factors, bystin and hTsr1, highlights differences in evolution of ribosome biogenesis between yeast and mammals. Nucleic Acids Research. 39(1). 280–291. 52 indexed citations
4.
Doherty, Leana, Mee Rie Sheen, Adrianna Vlachos, et al.. (2010). Ribosomal Protein Genes RPS10 and RPS26 Are Commonly Mutated in Diamond-Blackfan Anemia. The American Journal of Human Genetics. 86(2). 222–228. 167 indexed citations
5.
O’Donohue, Marie-Françoise, Valérie Choesmel, Marlène Faubladier, Gwennaële Fichant, & Pierre‐Emmanuel Gleizes. (2010). Functional dichotomy of ribosomal proteins during the synthesis of mammalian 40S ribosomal subunits. The Journal of Cell Biology. 190(5). 853–866. 160 indexed citations
6.
Gazda, Hanna T., Mee Rie Sheen, Leana Doherty, et al.. (2009). Ribosomal Protein Genes S10 and S26 Are Commonly Mutated in Diamond-Blackfan Anemia.. Blood. 114(22). 175–175. 5 indexed citations
7.
Crétien, Aurore, Corinne Hurtaud, Alexis Proust, et al.. (2008). Study of the effects of proteasome inhibitors on ribosomal protein S19 (RPS19) mutants, identified in patients with Diamond-Blackfan anemia. Haematologica. 93(11). 1627–1634. 15 indexed citations
8.
Choesmel, Valérie, Sébastien Fribourg, Almass-Houd Aguissa-Touré, et al.. (2008). Mutation of ribosomal protein RPS24 in Diamond-Blackfan anemia results in a ribosome biogenesis disorder. Human Molecular Genetics. 17(9). 1253–1263. 85 indexed citations
9.
Choesmel, Valérie, Daniel Bacqueville, Jacques Rouquette, et al.. (2006). Impaired ribosome biogenesis in Diamond-Blackfan anemia. Blood. 109(3). 1275–1283. 158 indexed citations
10.
Rouquette, Jacques, Valérie Choesmel, & Pierre‐Emmanuel Gleizes. (2005). Nuclear export and cytoplasmic processing of precursors to the 40S ribosomal subunits in mammalian cells. The EMBO Journal. 24(16). 2862–2872. 147 indexed citations
11.
Choesmel, Valérie, Philippe Anract, Hanne K. Høifødt, Jean Paul Thiery, & Nathalie Blin. (2004). A relevant immunomagnetic assay to detect and characterize epithelial cell adhesion molecule‐positive cells in bone marrow from patients with breast carcinoma. Cancer. 101(4). 693–703. 35 indexed citations
12.
Léger‐Silvestre, Isabelle, Philipp Milkereit, Sébastien Ferreira-Cerca, et al.. (2004). The ribosomal protein Rps15p is required for nuclear exit of the 40S subunit precursors in yeast. The EMBO Journal. 23(12). 2336–2347. 88 indexed citations
13.
Choesmel, Valérie, Frédéric Foucault, Jean Paul Thiery, & Nathalie Blin. (2004). Design of a real time quantitative PCR assay to assess global mRNA amplification of small size specimens for microarray hybridisation. Journal of Clinical Pathology. 57(12). 1278–1287. 3 indexed citations
14.
Choesmel, Valérie, Jean‐Yves Pierga, Claude Nos, et al.. (2004). Enrichment methods to detect bone marrow micrometastases in breast carcinoma patients: clinical relevance. Breast Cancer Research. 6(5). R556–70. 38 indexed citations
15.
Barbey, S., Laurence Goossens, Thierry Taverne, et al.. (2002). Synthesis and Activity of a New Methoxytetrahydropyran Derivative as Dual Cyclooxygenase-2/5-Lipoxygenase Inhibitor. Bioorganic & Medicinal Chemistry Letters. 12(5). 779–782. 52 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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