Éric Arnoult

16 papers receiving 1.5k citations

Éric Arnoult's Hit Papers

The challenge of new drug discovery for tuberculosis 2011 · 874 citations
8740+5+10Years since publication250500750

Peers

Éric Arnoult
Comparison fields: 5 of 94
  • Infectious Diseases 573
  • Molecular Medicine 72
  • Epidemiology 421
  • Organic Chemistry 384
  • Toxicology 36
Replace Alessandro De Logu with:
Alessandro De Logu Italy
Daisy Nakamura Sato Brazil
Giuseppina Sanna Italy
Cynthia S. Dowd United States
Larry M. C. Chow Hong Kong
Srinivasa P. S. Rao United States
Omnia Kutkat Egypt
Muhammad Usman Mirza Pakistan
Kyung‐Ae Lee South Korea
Julieta Luna‐Herrera Mexico
Éric Arnoult relative to Alessandro De Logu Italy Alessandro De Logu's profile →
Citations per field
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Alessandro De Logu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Éric Arnoult, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éric Arnoult Line = papers co-authored together Éric Arnoult links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
The challenge of new drug discovery for tuberculosis
Hit paper breakdown →
2011874
2 2002138
3 2015130
4 201187
5 200973
6 200369
7 200740
8 200535
9 201824
10 200214
11 201714
12 202110
13 20189
14 20187
15 20182
16 20042
17 20140
18
The challenge of new drug discovery for
20110

About Éric Arnoult

Éric Arnoult is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Computational Theory and Mathematics and Organic Chemistry, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Inflammatory mediators and NSAID effects (3 papers), Receptor Mechanisms and Signaling (3 papers), Cancer therapeutics and mechanisms (3 papers), Respiratory viral infections research (3 papers), HIV Research and Treatment (3 papers), Pneumonia and Respiratory Infections (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Infectious Diseases (573 citations), Molecular Medicine (72 citations), Epidemiology (421 citations), Organic Chemistry (384 citations) and Toxicology (36 citations). Éric Arnoult has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Jérôme Guillemont, Anil Koul, Koen Andries, Nacer Lounis, Philippe Bernard, Thomas Scior, Quoc‐Tuan Do, Christophe Marot, Luc Morin‐Allory and Johan Unge. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Nature Chemical Biology, Journal of Ethnopharmacology and Nature.

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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