Florence Charlot

47 total papers · 1.0k total citations
31 papers, 758 citations indexed

About

Florence Charlot is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Florence Charlot has authored 31 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 26 papers in Plant Science and 3 papers in Biotechnology. Recurrent topics in Florence Charlot's work include Plant tissue culture and regeneration (11 papers), Plant Genetic and Mutation Studies (8 papers) and CRISPR and Genetic Engineering (8 papers). Florence Charlot is often cited by papers focused on Plant tissue culture and regeneration (11 papers), Plant Genetic and Mutation Studies (8 papers) and CRISPR and Genetic Engineering (8 papers). Florence Charlot collaborates with scholars based in France, Switzerland and Morocco. Florence Charlot's co-authors include Fabien Nogué, Didier G. Schaefer, Cécile Collonnier, Kostlend Mara, Anouchka Guyon‐Debast, François Maclot, M. Fourmann, Régine Delourme, Dominique Brunel and Nathalie Vrielynck and has published in prestigious journals such as Nucleic Acids Research, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Florence Charlot

30 papers receiving 741 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Florence Charlot	600	553	75	61	34	31	758
Afif Hassairi	791 1.3×	488 0.9×	53 0.7×	40 0.7×	45 1.3×	29	901
Fu‐Hui Wu	513 0.9×	641 1.2×	124 1.7×	69 1.1×	30 0.9×	16	798
Angus G. Hepburn	705 1.2×	531 1.0×	53 0.7×	93 1.5×	21 0.6×	25	837
Hélia Cardoso	557 0.9×	575 1.0×	41 0.5×	26 0.4×	30 0.9×	46	829
Joon Ki Hong	708 1.2×	602 1.1×	27 0.4×	63 1.0×	22 0.6×	47	831
Tadeusz Rorat	747 1.2×	464 0.8×	24 0.3×	70 1.1×	21 0.6×	27	868
Pulugurtha Bharadwaja Kirti	688 1.1×	520 0.9×	27 0.4×	86 1.4×	33 1.0×	38	869
Jean E. Masson	540 0.9×	425 0.8×	37 0.5×	31 0.5×	54 1.6×	22	670
Isabelle Dupuis	456 0.8×	299 0.5×	80 1.1×	31 0.5×	11 0.3×	19	629
Hyosub Chu	647 1.1×	399 0.7×	32 0.4×	21 0.3×	52 1.5×	44	858

Countries citing papers authored by Florence Charlot

Since Specialization

Citations

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

Fields of papers citing papers by Florence Charlot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Charlot

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

All Works

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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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