Éric Arnoult

2.1k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

Éric Arnoult is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Éric Arnoult has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Éric Arnoult's work include Computational Drug Discovery Methods (4 papers), Respiratory viral infections research (3 papers) and Cancer therapeutics and mechanisms (3 papers). Éric Arnoult is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Respiratory viral infections research (3 papers) and Cancer therapeutics and mechanisms (3 papers). Éric Arnoult collaborates with scholars based in United States, France and Belgium. Éric Arnoult's co-authors include Jérôme Guillemont, Anil Koul, Koen Andries, Nacer Lounis, Philippe Bernard, Quoc‐Tuan Do, Thomas Scior, Christophe Marot, Luc Morin‐Allory and Johan Unge and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Éric Arnoult

16 papers receiving 1.4k citations

Hit Papers

The challenge of new drug discovery for tuberculosis 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éric Arnoult United States 11 590 572 415 376 164 17 1.4k
João Neres United Kingdom 21 946 1.6× 647 1.1× 394 0.9× 510 1.4× 145 0.9× 29 1.5k
Isamu Matsunaga Japan 25 914 1.5× 444 0.8× 471 1.1× 159 0.4× 62 0.4× 60 2.1k
Larry M. C. Chow Hong Kong 27 867 1.5× 309 0.5× 277 0.7× 313 0.8× 58 0.4× 75 2.3k
Anthony Vocat Switzerland 14 669 1.1× 697 1.2× 363 0.9× 309 0.8× 96 0.6× 32 1.2k
Alessandro De Logu Italy 31 778 1.3× 598 1.0× 470 1.1× 949 2.5× 93 0.6× 62 2.3k
Shuo Wu China 28 622 1.1× 447 0.8× 594 1.4× 937 2.5× 73 0.4× 103 2.5k
E. Jeffrey North United States 19 735 1.2× 942 1.6× 690 1.7× 328 0.9× 82 0.5× 29 1.5k
Inhee Choi South Korea 17 543 0.9× 581 1.0× 182 0.4× 209 0.6× 255 1.6× 40 1.3k
Peter B. Madrid United States 26 659 1.1× 740 1.3× 282 0.7× 474 1.3× 304 1.9× 47 1.9k
Alistair K. Brown United Kingdom 21 723 1.2× 656 1.1× 461 1.1× 220 0.6× 56 0.3× 40 1.4k

Countries citing papers authored by Éric Arnoult

Since Specialization
Citations

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

Fields of papers citing papers by Éric Arnoult

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Arnoult

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

All Works

17 of 17 papers shown
1.
Gartland, Margaret, Éric Arnoult, Brian Foley, et al.. (2021). Prevalence of gp160 polymorphisms known to be related to decreased susceptibility to temsavir in different subtypes of HIV-1 in the Los Alamos National Laboratory HIV Sequence Database. Journal of Antimicrobial Chemotherapy. 76(11). 2958–2964. 9 indexed citations
2.
Meegalla, Sanath K., Hui Huang, June Xu, et al.. (2018). Discovery of a novel potent GPR40 full agonist. Bioorganic & Medicinal Chemistry Letters. 28(4). 720–726. 7 indexed citations
3.
Rives, M., Shuyuan Zhao, Jenson Qi, et al.. (2018). GPR40-Mediated Gα12 Activation by Allosteric Full Agonists Highly Efficacious at Potentiating Glucose-Stimulated Insulin Secretion in Human Islets. Molecular Pharmacology. 93(6). 581–591. 22 indexed citations
4.
Pieters, Serge, David C. McGowan, Florence Herschke, et al.. (2018). Discovery of selective 2,4-diaminoquinazoline toll-like receptor 7 (TLR 7) agonists. Bioorganic & Medicinal Chemistry Letters. 28(4). 711–719. 9 indexed citations
5.
Hubert‐Roux, Marie, et al.. (2018). Ion mobility-mass spectrometry analysis of diarylquinoline diastereomers: Drugs used for tuberculosis treatment. European Journal of Mass Spectrometry. 25(3). 291–299. 2 indexed citations
6.
Huang, Hui, Michael P. Winters, Sanath K. Meegalla, et al.. (2017). Discovery of novel benzo[b]thiophene tetrazoles as non-carboxylate GPR40 agonists. Bioorganic & Medicinal Chemistry Letters. 28(3). 429–436. 13 indexed citations
7.
Battles, Michael B., Johannes P. M. Langedijk, Supranee Chaiwatpongsakorn, et al.. (2015). Molecular mechanism of respiratory syncytial virus fusion inhibitors. Nature Chemical Biology. 12(2). 87–93. 120 indexed citations
8.
Koul, Anil, Éric Arnoult, Nacer Lounis, Jérôme Guillemont, & Koen Andries. (2011). The challenge of new drug discovery for tuberculosis. Nature. 469(7331). 483–490. 831 indexed citations breakdown →
9.
Arnoult, Éric, Nacer Lounis, Jérôme Guillemont, & Koen Andries. (2011). The challenge of new drug discovery for.
10.
Arnoult, Éric, et al.. (2011). Difluoromethylbenzoxazole Pyrimidine Thioether Derivatives: A Novel Class of Potent Non-Nucleoside HIV-1 Reverse Transcriptase Inhibitors. Journal of Medicinal Chemistry. 54(23). 7974–7985. 86 indexed citations
11.
Roymans, Dirk, Hendrik L. De Bondt, Éric Arnoult, et al.. (2009). Binding of a potent small-molecule inhibitor of six-helix bundle formation requires interactions with both heptad-repeats of the RSV fusion protein. Proceedings of the National Academy of Sciences. 107(1). 308–313. 66 indexed citations
12.
Bonfanti, Jean‐François, Jérôme Fortin, Jérôme Guillemont, et al.. (2007). Selection of a Respiratory Syncytial Virus Fusion Inhibitor Clinical Candidate, Part 1:  Improving the Pharmacokinetic Profile Using the Structure−Property Relationship. Journal of Medicinal Chemistry. 50(19). 4572–4584. 37 indexed citations
13.
Arnoult, Éric, et al.. (2005). Optimization and Validation of a Docking-Scoring Protocol; Application to Virtual Screening for COX-2 Inhibitors. Journal of Medicinal Chemistry. 48(4). 1055–1068. 32 indexed citations
15.
Baurin, Nicolas, et al.. (2003). 2D QSAR Consensus Prediction for High-Throughput Virtual Screening. An Application to COX-2 Inhibition Modeling and Screening of the NCI Database. Journal of Chemical Information and Computer Sciences. 44(1). 276–285. 62 indexed citations
16.
Arnoult, Éric, et al.. (2002). Preliminary screening of some tropical plants for anti-tyrosinase activity. Journal of Ethnopharmacology. 82(2-3). 155–158. 134 indexed citations
17.
Kieken, Fabien, Éric Arnoult, Tam Huynh‐Dinh, et al.. (2002). HIV-1 Lai genomic RNA: combined used of NMR and molecular dynamics simulation for studying the structure and internal dynamics of a mutated SL1 hairpin. European Biophysics Journal. 31(7). 521–531. 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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