Ronan Bureau

2.7k total citations · 1 hit paper
95 papers, 2.0k citations indexed

About

Ronan Bureau is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Ronan Bureau has authored 95 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 34 papers in Computational Theory and Mathematics and 32 papers in Organic Chemistry. Recurrent topics in Ronan Bureau's work include Computational Drug Discovery Methods (34 papers), Receptor Mechanisms and Signaling (10 papers) and Analytical Chemistry and Chromatography (9 papers). Ronan Bureau is often cited by papers focused on Computational Drug Discovery Methods (34 papers), Receptor Mechanisms and Signaling (10 papers) and Analytical Chemistry and Chromatography (9 papers). Ronan Bureau collaborates with scholars based in France, United Kingdom and Japan. Ronan Bureau's co-authors include Patrick Dallemagne, Sylvain Rault, Christophe Rochais, Jean‐Pierre Jourdan, Jana Sopková‐de Oliveira Santos, Alban Lepailleur, Marie‐Pierre Halm‐Lemeille, S. Rault, Laëtitia Minguez and Anne Sophie Voisin‐Chiret and has published in prestigious journals such as Angewandte Chemie International Edition, Cancer Research and Chemosphere.

In The Last Decade

Ronan Bureau

94 papers receiving 1.9k citations

Hit Papers

Drug repositioning: a brief overview 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronan Bureau France 24 745 589 487 192 161 95 2.0k
Iain Gardner United Kingdom 28 987 1.3× 232 0.4× 375 0.8× 269 1.4× 65 0.4× 94 2.9k
Richard Weaver United Kingdom 36 1.2k 1.6× 241 0.4× 386 0.8× 329 1.7× 57 0.4× 86 3.9k
Amin A. Nomeir United States 28 834 1.1× 327 0.6× 253 0.5× 262 1.4× 65 0.4× 111 2.7k
David T. Manallack Australia 28 1.1k 1.5× 620 1.1× 706 1.4× 226 1.2× 112 0.7× 87 2.6k
Maija Lahtela‐Kakkonen Finland 30 1.1k 1.4× 424 0.7× 318 0.7× 267 1.4× 70 0.4× 76 2.7k
Srilatha Sakamuru United States 28 964 1.3× 152 0.3× 685 1.4× 204 1.1× 174 1.1× 69 2.5k
Sven Hellberg Sweden 23 1.4k 1.9× 250 0.4× 844 1.7× 196 1.0× 43 0.3× 60 2.9k
Jinghui Luo Switzerland 29 1.1k 1.5× 191 0.3× 176 0.4× 334 1.7× 125 0.8× 99 2.6k
Martin D. Barratt United Kingdom 32 743 1.0× 312 0.5× 555 1.1× 111 0.6× 43 0.3× 101 2.6k
Miguel Ángel Cabrera‐Pérez Cuba 28 728 1.0× 363 0.6× 936 1.9× 147 0.8× 31 0.2× 85 1.9k

Countries citing papers authored by Ronan Bureau

Since Specialization
Citations

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

Fields of papers citing papers by Ronan Bureau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronan Bureau

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

All Works

20 of 20 papers shown
1.
Lepailleur, Alban, et al.. (2023). Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta. Journal of Cheminformatics. 15(1). 116–116. 1 indexed citations
2.
Jourdan, Jean‐Pierre, Ronan Bureau, Christophe Rochais, & Patrick Dallemagne. (2020). Drug repositioning: a brief overview. Journal of Pharmacy and Pharmacology. 72(9). 1145–1151. 304 indexed citations breakdown →
3.
Minguez, Laëtitia, et al.. (2015). Acute toxicities of pharmaceuticals toward green algae. mode of action, biopharmaceutical drug disposition classification system and quantile regression models. Ecotoxicology and Environmental Safety. 124. 337–343. 41 indexed citations
4.
Minguez, Laëtitia, Émilie Farcy, Céline Ballandonne, et al.. (2014). Acute toxicity of 8 antidepressants: What are their modes of action?. Chemosphere. 108. 314–319. 72 indexed citations
5.
Dulin, Fabienne, et al.. (2014). Protecting honey bees: identification of a new varroacide by in silico, in vitro, and in vivo studies. Parasitology Research. 113(12). 4601–4610. 8 indexed citations
6.
Halm‐Lemeille, Marie‐Pierre, Thomas Latire, Jean‐François Férard, et al.. (2014). The effect of different polychlorinated biphenyls on two aquatic models, the green alga Pseudokirchneriella subcapitata and the haemocytes from the European abalone Haliotis tuberculata. Chemosphere. 110. 120–128. 10 indexed citations
7.
Bureau, Ronan. (2013). Pharmacophores vs Emerging fragments: Implications in the comprehension of polypharmacological and toxicological properties of chemical derivatives.
8.
Minguez, Laëtitia, Marie‐Pierre Halm‐Lemeille, Katherine Costil, et al.. (2013). Assessment of cytotoxic and immunomodulatory properties of four antidepressants on primary cultures of abalone hemocytes (Haliotis tuberculata). Aquatic Toxicology. 153. 3–11. 32 indexed citations
9.
Varin, Thibault, Ronan Bureau, Christoph Mueller, & Peter Willett. (2009). Clustering files of chemical structures using the Székely–Rizzo generalization of Ward's method. Journal of Molecular Graphics and Modelling. 28(2). 187–195. 35 indexed citations
10.
Santos, Jana Sopková‐de Oliveira, et al.. (2008). Three‐dimensional model of the human urotensin‐II receptor: Docking of human urotensin‐II and nonpeptide antagonists in the binding site and comparison with an antagonist pharmacophore model. Proteins Structure Function and Bioinformatics. 73(1). 173–184. 10 indexed citations
11.
Bureau, Ronan, et al.. (2007). Nonpeptide Urotensin-II receptor agonists and antagonists: Review and structure–activity relationships. Peptides. 29(5). 680–690. 19 indexed citations
12.
Fabis, Frédéric, Alban Lepailleur, Ronan Bureau, et al.. (2007). Novel aminoethylbiphenyls as 5-HT7 receptor ligands. Bioorganic & Medicinal Chemistry Letters. 17(11). 3018–3022. 20 indexed citations
13.
Fabis, Frédéric, Alban Lepailleur, Ronan Bureau, et al.. (2005). Phenylpyrroles, a new chemolibrary virtual screening class of 5-HT7 receptor ligands. Bioorganic & Medicinal Chemistry Letters. 15(16). 3753–3757. 29 indexed citations
14.
Dallemagne, Patrick, et al.. (2003). Synthesis and biological evaluation of five-Membered heterocycles fused to cyclopenta[c]thiophene as new antitumor agents. Bioorganic & Medicinal Chemistry. 11(7). 1161–1167. 43 indexed citations
15.
Dallemagne, Patrick, O. Renault, Isabelle Varlet, et al.. (2002). Synthesis and biological evaluation of cyclopenta[c]thiophene related compounds as new antitumor agents. Bioorganic & Medicinal Chemistry. 10(7). 2185–2191. 23 indexed citations
16.
Auvray, Pierrı̈ck, et al.. (2002). Study of substrate specificity of human aromatase by site directed mutagenesis. European Journal of Biochemistry. 269(5). 1393–1405. 23 indexed citations
17.
Auvray, Pierrı̈ck, Pascal Sourdaine, Safa Moslemi, et al.. (1999). MR 20492 and MR 20494: two indolizinone derivatives that strongly inhibit human aromatase. The Journal of Steroid Biochemistry and Molecular Biology. 70(1-3). 59–71. 17 indexed citations
18.
Bureau, Ronan, et al.. (1999). Applicability of CATALYST in Ecotoxicology, a New Promising Tool for 3D-QSAR: Study of Chlorophenols. Ecotoxicology and Environmental Safety. 43(3). 241–251. 20 indexed citations
19.
Bureau, Ronan, et al.. (1999). Prediction of the fish acute toxicity from heterogeneous data coming from notification files. Chemosphere. 38(14). 3261–3276. 39 indexed citations
20.
Bureau, Ronan, et al.. (1997). Applicability of the Free Energies of Solvation for the Prediction of Ecotoxicity: Study of Chlorophenols. SAR and QSAR in environmental research. 6(3-4). 163–181. 7 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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