Flavie Coquel

596 total citations
4 papers, 104 citations indexed

About

Flavie Coquel is a scholar working on Molecular Biology, Toxicology and Epidemiology. According to data from OpenAlex, Flavie Coquel has authored 4 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Toxicology and 1 paper in Epidemiology. Recurrent topics in Flavie Coquel's work include DNA Repair Mechanisms (3 papers), Cancer therapeutics and mechanisms (2 papers) and interferon and immune responses (1 paper). Flavie Coquel is often cited by papers focused on DNA Repair Mechanisms (3 papers), Cancer therapeutics and mechanisms (2 papers) and interferon and immune responses (1 paper). Flavie Coquel collaborates with scholars based in France, Netherlands and Taiwan. Flavie Coquel's co-authors include Philippe Pasero, Yea‐Lih Lin, Pierre Martineau, Jérôme Moreaux, Maguy Del Rio, Diégo Tosi, Véronique Garambois, Marta Jarlier, Arnaud Coquelle and Roderick L. Beijersbergen and has published in prestigious journals such as Cancer Research, eLife and Current Opinion in Immunology.

In The Last Decade

Flavie Coquel

4 papers receiving 104 citations

Peers

Flavie Coquel
Jenna H. Newman United States
Domenic Pilger United Kingdom
Eric M. Neiman United States
Flavie Coquel
Citations per year, relative to Flavie Coquel Flavie Coquel (= 1×) peers Alexanda K. Ling

Countries citing papers authored by Flavie Coquel

Since Specialization
Citations

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

Fields of papers citing papers by Flavie Coquel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavie Coquel

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

All Works

4 of 4 papers shown
1.
Coquel, Flavie, Keng‐Chang Tsai, Antoine Aze, et al.. (2024). Synergistic effect of inhibiting CHK2 and DNA replication on cancer cell growth. eLife. 13. 1 indexed citations
2.
Andrade, Augusto Faria, Diégo Tosi, Henri‐Alexandre Michaud, et al.. (2019). Inhibition of Ataxia-Telangiectasia Mutated and RAD3-Related ( ATR ) Overcomes Oxaliplatin Resistance and Promotes Antitumor Immunity in Colorectal Cancer. Cancer Research. 79(11). 2933–2946. 49 indexed citations
3.
Coquel, Flavie, et al.. (2018). SAMHD1 and the innate immune response to cytosolic DNA during DNA replication. Current Opinion in Immunology. 56. 24–30. 42 indexed citations
4.
Coquel, Flavie, et al.. (2018). DDK Has a Primary Role in Processing Stalled Replication Forks to Initiate Downstream Checkpoint Signaling. Neoplasia. 20(10). 985–995. 12 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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