Florence Reyl-Desmars

40 total papers · 804 total citations
33 papers, 674 citations indexed

About

Florence Reyl-Desmars is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Florence Reyl-Desmars has authored 33 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Florence Reyl-Desmars's work include Neuroendocrine Tumor Research Advances (11 papers), Receptor Mechanisms and Signaling (6 papers) and Lung Cancer Research Studies (5 papers). Florence Reyl-Desmars is often cited by papers focused on Neuroendocrine Tumor Research Advances (11 papers), Receptor Mechanisms and Signaling (6 papers) and Lung Cancer Research Studies (5 papers). Florence Reyl-Desmars collaborates with scholars based in France, United States and Hungary. Florence Reyl-Desmars's co-authors include Miguel J.M. Lewin, Muriel Le Romancer, Yacine Chérifi, Nathalie Vadrot, Gérard Feldmann, Füsûn N. Zeytin, Dominique Pessayre, André Bado, Philippe Jaïs and Christine Linard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Florence Reyl-Desmars

33 papers receiving 653 citations

Author Peers

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

Author						Papers	Cites
Florence Reyl-Desmars	352	253	122	80	76	33	674
Michael Maris	256 0.7×	178 0.7×	77 0.6×	126 1.6×	186 2.4×	38	793
Yoichiro Kato	340 1.0×	87 0.3×	128 1.0×	117 1.5×	124 1.6×	47	786
Zhiyu Yang	284 0.8×	82 0.3×	86 0.7×	41 0.5×	71 0.9×	40	691
Chiarella Bozzo	229 0.7×	142 0.6×	40 0.3×	51 0.6×	85 1.1×	30	664
J Laissue	118 0.3×	184 0.7×	107 0.9×	39 0.5×	55 0.7×	27	554
Victor Lavis	252 0.7×	110 0.4×	195 1.6×	42 0.5×	105 1.4×	41	773
Ke‐Qiong Deng	366 1.0×	138 0.5×	71 0.6×	164 2.0×	84 1.1×	32	775
Alessandra Vitaliti	240 0.7×	91 0.4×	91 0.7×	86 1.1×	35 0.5×	25	563
Zhiqin Li	260 0.7×	112 0.4×	116 1.0×	73 0.9×	48 0.6×	42	707
Lucia D’Antona	435 1.2×	80 0.3×	107 0.9×	73 0.9×	66 0.9×	29	743

Countries citing papers authored by Florence Reyl-Desmars

Since Specialization

Citations

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

Fields of papers citing papers by Florence Reyl-Desmars

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Reyl-Desmars

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Reyl-Desmars. A scholar is included among the top collaborators of Florence Reyl-Desmars 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 Reyl-Desmars. Florence Reyl-Desmars 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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