Laetitia Maroc

981 total citations · 2 hit papers
10 papers, 516 citations indexed

About

Laetitia Maroc is a scholar working on Molecular Biology, Infectious Diseases and Plant Science. According to data from OpenAlex, Laetitia Maroc has authored 10 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Plant Science. Recurrent topics in Laetitia Maroc's work include CRISPR and Genetic Engineering (4 papers), Antifungal resistance and susceptibility (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). Laetitia Maroc is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Antifungal resistance and susceptibility (4 papers) and Plant-Microbe Interactions and Immunity (3 papers). Laetitia Maroc collaborates with scholars based in Canada, France and Austria. Laetitia Maroc's co-authors include Rebecca S. Shapiro, Thomas M. Norman, Keith A. Lawson, Lei S. Qi, Christoph Bock, Mathew J. Garnett, Florence M. Chardon, Xiaowei Zhuang, Jonathan S. Weissman and Matthew B. Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, FEMS Microbiology Reviews and PLoS Genetics.

In The Last Decade

Laetitia Maroc

9 papers receiving 514 citations

Hit Papers

High-content CRISPR screening 2022 2026 2023 2024 2022 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laetitia Maroc Canada 7 419 77 63 49 39 10 516
Bicna Song United States 5 411 1.0× 74 1.0× 64 1.0× 19 0.4× 23 0.6× 6 490
Xiaomeng An China 11 323 0.8× 72 0.9× 60 1.0× 30 0.6× 26 0.7× 20 460
Adam R. Leman United States 11 395 0.9× 53 0.7× 73 1.2× 93 1.9× 35 0.9× 19 568
Martin Pačesa Switzerland 11 383 0.9× 93 1.2× 54 0.9× 17 0.3× 26 0.7× 13 468
Lamia Wahba United States 6 735 1.8× 111 1.4× 52 0.8× 128 2.6× 35 0.9× 9 832
Peter C. DeWeirdt United States 8 504 1.2× 98 1.3× 62 1.0× 20 0.4× 65 1.7× 8 586
Benjamin P. Roscoe United States 9 477 1.1× 178 2.3× 49 0.8× 23 0.5× 14 0.4× 9 541
Mahmut Parlak United States 12 633 1.5× 121 1.6× 152 2.4× 74 1.5× 22 0.6× 12 797
Sanda Ročak Switzerland 5 680 1.6× 72 0.9× 27 0.4× 89 1.8× 35 0.9× 6 802
Karl Petri United States 10 485 1.2× 165 2.1× 54 0.9× 56 1.1× 15 0.4× 14 528

Countries citing papers authored by Laetitia Maroc

Since Specialization
Citations

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

Fields of papers citing papers by Laetitia Maroc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laetitia Maroc

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

All Works

10 of 10 papers shown
1.
Maroc, Laetitia, et al.. (2024). The rise and future of CRISPR-based approaches for high-throughput genomics. FEMS Microbiology Reviews. 48(5). 7 indexed citations
2.
Maroc, Laetitia, Chris K. Grant, Peter McQueen, et al.. (2024). The putative error prone polymerase REV1 mediates DNA damage and drug resistance in Candida albicans. SHILAP Revista de lepidopterología. 2(1). 42–42.
3.
Gagnon‐Arsenault, Isabelle, Jonathan Boisvert, Alexandre K. Dubé, et al.. (2024). Most azole resistance mutations in the Candida albicans drug target confer cross-resistance without intrinsic fitness cost. Nature Microbiology. 9(11). 3025–3040. 16 indexed citations
5.
Bock, Christoph, Paul Datlinger, Florence M. Chardon, et al.. (2022). High-content CRISPR screening. Nature Reviews Methods Primers. 2(1). 276 indexed citations breakdown →
6.
Bock, Christoph, Paul Datlinger, Florence M. Chardon, et al.. (2022). High-content CRISPR screening. Nature Reviews Methods Primers. 2(1). 170 indexed citations breakdown →
7.
Maroc, Laetitia, Robert Debuchy, Charbel Souaid, et al.. (2021). Loss of EZH2-like or SU(VAR)3–9-like proteins causes simultaneous perturbations in H3K27 and H3K9 tri-methylation and associated developmental defects in the fungus Podospora anserina. Epigenetics & Chromatin. 14(1). 22–22. 15 indexed citations
8.
Maroc, Laetitia & Cécile Fairhead. (2021). Lessons from the Nakaseomyces: mating-type switching, DSB repair and evolution of Ho. Current Genetics. 67(5). 685–693. 1 indexed citations
9.
Maroc, Laetitia, Youfang Li, Stéphanie Boisnard, & Cécile Fairhead. (2020). A single Ho-induced double-strand break at the MAT locus is lethal in Candida glabrata. PLoS Genetics. 16(10). e1008627–e1008627. 2 indexed citations
10.
Maroc, Laetitia & Cécile Fairhead. (2019). A new inducible CRISPR‐Cas9 system useful for genome editing and study of double‐strand break repair in Candida glabrata. Yeast. 36(12). 723–731. 16 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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