Cédric Lecoutey

53 total papers · 678 total citations
21 papers, 481 citations indexed

About

Cédric Lecoutey is a scholar working on Pharmacology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Cédric Lecoutey has authored 21 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pharmacology, 12 papers in Organic Chemistry and 10 papers in Computational Theory and Mathematics. Recurrent topics in Cédric Lecoutey's work include Cholinesterase and Neurodegenerative Diseases (16 papers), Computational Drug Discovery Methods (10 papers) and Chemical synthesis and alkaloids (7 papers). Cédric Lecoutey is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (16 papers), Computational Drug Discovery Methods (10 papers) and Chemical synthesis and alkaloids (7 papers). Cédric Lecoutey collaborates with scholars based in France, Italy and Switzerland. Cédric Lecoutey's co-authors include Patrick Dallemagne, Christophe Rochais, Sylvie Claeysen, Jana Sopková‐de Oliveira Santos, Thomas Fréret, Michel Boulouard, Sophie Corvaisier, Audrey Davis, Rémi Legay and Marc Since and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Cédric Lecoutey

20 papers receiving 475 citations

Author Peers

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

Author						Papers	Cites
Cédric Lecoutey	331	250	177	150	117	21	481
Zhuibai Qiu	219 0.7×	150 0.6×	148 0.8×	200 1.3×	161 1.4×	40	530
Monique Somogyi	334 1.0×	157 0.6×	94 0.5×	88 0.6×	152 1.3×	20	547
Gina M. Bores	315 1.0×	92 0.4×	245 1.4×	184 1.2×	70 0.6×	15	530
Kamila Czarnecka	169 0.5×	145 0.6×	157 0.9×	139 0.9×	94 0.8×	36	529
Wayne W. Petko	239 0.7×	62 0.2×	222 1.3×	151 1.0×	127 1.1×	17	540
Anupam G. Banerjee	173 0.5×	94 0.4×	218 1.2×	122 0.8×	114 1.0×	10	487
Samuele Maramai	194 0.6×	103 0.4×	114 0.6×	241 1.6×	91 0.8×	29	510
Qinghong Liao	198 0.6×	124 0.5×	96 0.5×	182 1.2×	70 0.6×	15	471
Baichen Xiong	224 0.7×	153 0.6×	87 0.5×	139 0.9×	67 0.6×	13	436
Marc Since	155 0.5×	120 0.5×	185 1.0×	175 1.2×	67 0.6×	31	519

Countries citing papers authored by Cédric Lecoutey

Since Specialization

Citations

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

Fields of papers citing papers by Cédric Lecoutey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cédric Lecoutey

This figure shows the co-authorship network connecting the top 25 collaborators of Cédric Lecoutey. A scholar is included among the top collaborators of Cédric Lecoutey 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 Cédric Lecoutey. Cédric Lecoutey 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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