Clara Moch

585 total citations
19 papers, 460 citations indexed

About

Clara Moch is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Clara Moch has authored 19 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Ecology. Recurrent topics in Clara Moch's work include CRISPR and Genetic Engineering (5 papers), Animal Genetics and Reproduction (5 papers) and Virus-based gene therapy research (4 papers). Clara Moch is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Animal Genetics and Reproduction (5 papers) and Virus-based gene therapy research (4 papers). Clara Moch collaborates with scholars based in France, United Kingdom and Portugal. Clara Moch's co-authors include Jean‐René Huynh, Eduardo Villalobo, Marjo Salminen, Pascal Maire, Jean‐Paul Concordet, Dominique Daegelen, A Kahn, Nicole Basset‐Séguin, C Vilmer and Nadem Soufir and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Cell Biology.

In The Last Decade

Clara Moch

19 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clara Moch France 13 339 90 75 60 58 19 460
Dace Pjanova Latvia 11 169 0.5× 72 0.8× 76 1.0× 127 2.1× 30 0.5× 31 389
Kathleen E. Steinmann United States 11 468 1.4× 74 0.8× 214 2.9× 88 1.5× 19 0.3× 15 634
Sittinan Chanarat Thailand 13 503 1.5× 36 0.4× 38 0.5× 32 0.5× 53 0.9× 23 701
Eva‐Maria Ladenburger Germany 9 364 1.1× 88 1.0× 44 0.6× 30 0.5× 34 0.6× 10 427
Randal Cox United States 7 337 1.0× 218 2.4× 67 0.9× 21 0.3× 35 0.6× 7 548
T. Schaap Israel 13 263 0.8× 30 0.3× 209 2.8× 26 0.4× 49 0.8× 34 605
Wakako Shinahara Japan 9 177 0.5× 63 0.7× 42 0.6× 19 0.3× 67 1.2× 12 337
Robert Poulhe France 16 471 1.4× 159 1.8× 78 1.0× 64 1.1× 23 0.4× 27 604
P.R.L.A. van den IJssel Netherlands 10 375 1.1× 73 0.8× 34 0.5× 13 0.2× 34 0.6× 11 479
Claudia Temme Germany 7 611 1.8× 70 0.8× 45 0.6× 34 0.6× 22 0.4× 10 714

Countries citing papers authored by Clara Moch

Since Specialization
Citations

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

Fields of papers citing papers by Clara Moch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Moch

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Moch. A scholar is included among the top collaborators of Clara Moch 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 Clara Moch. Clara Moch 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
1.
Moch, Clara, Elena Dossi, Giampaolo Milior, et al.. (2023). The ribosome-associated protein RACK1 represses Kir4.1 translation in astrocytes and influences neuronal activity. Cell Reports. 42(5). 112456–112456. 12 indexed citations
2.
Moch, Clara, et al.. (2022). The SARS-CoV-2 protein NSP2 impairs the silencing capacity of the human 4EHP-GIGYF2 complex. iScience. 25(7). 104646–104646. 16 indexed citations
3.
Plateau, Pierre, Clara Moch, & Sylvain Blanquet. (2019). Spermidine strongly increases the fidelity of Escherichia coli CRISPR Cas1–Cas2 integrase. Journal of Biological Chemistry. 294(29). 11311–11322. 6 indexed citations
4.
Moch, Clara, Michel Fromant, Sylvain Blanquet, & Pierre Plateau. (2016). DNA binding specificities ofEscherichia coliCas1–Cas2 integrase drive its recruitment at the CRISPR locus. Nucleic Acids Research. 45(5). gkw1309–gkw1309. 15 indexed citations
5.
Simonson, Thomas, et al.. (2015). Redesigning the stereospecificity of tyrosyl-tRNA synthetase. Proteins Structure Function and Bioinformatics. 84(2). 240–253. 16 indexed citations
6.
Mathieu, Juliette, Clara Moch, Sarah J. Radford, et al.. (2013). Aurora B and Cyclin B Have Opposite Effects on the Timing of Cytokinesis Abscission in Drosophila Germ Cells and in Vertebrate Somatic Cells. Developmental Cell. 26(3). 250–265. 73 indexed citations
7.
Fichelson, Pierre, Clara Moch, Kenzo Ivanovitch, et al.. (2009). Live-imaging of single stem cells within their niche reveals that a U3snoRNP component segregates asymmetrically and is required for self-renewal in Drosophila. Nature Cell Biology. 11(6). 685–693. 70 indexed citations
8.
Oeffner, Frank, et al.. (2007). Novel interaction partners of Bardet‐Biedl syndrome proteins. Cell Motility and the Cytoskeleton. 65(2). 143–155. 16 indexed citations
10.
Villalobo, Eduardo, et al.. (2003). Cysteine Proteases and Cell Differentiation: Excystment of the Ciliated Protist Sterkiella histriomuscorum. Eukaryotic Cell. 2(6). 1234–1245. 26 indexed citations
11.
Villalobo, Eduardo, et al.. (2002). A Homologue of CROC-1 in a Ciliated Protist (Sterkiella histriomuscorum) Testifies to the Ancient Origin of the Ubiquitin-conjugating Enzyme Variant Family. Molecular Biology and Evolution. 19(1). 39–48. 19 indexed citations
12.
Moch, Clara, A. Moysan, Richard Lubin, et al.. (2001). Divergence between the high rate of p53 mutations in skin carcinomas and the low prevalence of anti-p53 antibodies. British Journal of Cancer. 85(12). 1883–1886. 6 indexed citations
13.
Villalobo, Eduardo, Clara Moch, Roland Perasso, & Anne Baroin‐Tourancheau. (2001). Searching for Excystment‐Regulated Genes in Sterkiella histriomuscorum (Ciliophora, Oxytrichidae): A mRNA Differential Display Analysis of Gene Expression in Excysting Cells. Journal of Eukaryotic Microbiology. 48(3). 382–390. 12 indexed citations
14.
Soufir, Nadem, Jean‐Pierre Molès, C Vilmer, et al.. (1999). P16 UV mutations in human skin epithelial tumors. Oncogene. 18(39). 5477–5481. 86 indexed citations
15.
Moch, Clara, A Kahn, & Dominique Daegelen. (1996). Independence and interdependence of the three human aldolase A promoters in transgenic mice.. PubMed. 6(1). 1–14. 2 indexed citations
16.
Salminen, Marjo, Pascal Maire, Jean‐Paul Concordet, et al.. (1994). Fast-Muscle-Specific Expression of Human Aldolase A Transgenes. Molecular and Cellular Biology. 14(10). 6797–6808. 7 indexed citations
17.
Salminen, Marjo, Pascal Maire, Jean‐Paul Concordet, et al.. (1994). Fast-muscle-specific expression of human aldolase A transgenes.. Molecular and Cellular Biology. 14(10). 6797–6808. 36 indexed citations
18.
Concordet, Jean‐Paul, Marjo Salminen, Josiane Demignon, et al.. (1993). An Opportunistic Promoter Sharing Regulatory Sequences with either a Muscle-Specific or a Ubiquitous Promoter in the Human Aldolase A Gene. Molecular and Cellular Biology. 13(1). 9–17. 4 indexed citations
19.
Concordet, Jean‐Paul, Marjo Salminen, Josiane Demignon, et al.. (1993). An opportunistic promoter sharing regulatory sequences with either a muscle-specific or a ubiquitous promoter in the human aldolase A gene.. Molecular and Cellular Biology. 13(1). 9–17. 28 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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