Éric Arnoult
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 5%
Papers in ⓘ
- Virology 2
- HIV Research and Treatment 2
-
- Tuberculosis Research and Epidemiology 2
- Co-authors
- Jérôme Guillemont (5 shared papers)Anil Koul (2 shared papers)Koen Andries (4 shared papers)Nacer Lounis (2 shared papers)Philippe Bernard (2 shared papers)Thomas Scior (1 shared paper)Quoc‐Tuan Do (1 shared paper)Luc Morin‐Allory (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Medicinal Chemistry (3 papers)Journal of Antimicrobial Chemotherapy (1 paper)European Journal of Mass Spectrometry (1 paper)European Biophysics Journal (1 paper)
- Partner nations
- United StatesFranceBelgium
In The Last Decade
Éric Arnoult
16 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Infectious Diseases 572
- Molecular Medicine 76
- Organic Chemistry 376
- Epidemiology 415
- Toxicology 38
Countries citing papers authored by Éric Arnoult
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The challenge of new drug discovery for tuberculosis Hit paper breakdown → | 2011 | 831 |
| 2 | 2002 | 134 | |
| 3 | 2015 | 120 | |
| 4 | 2011 | 86 | |
| 5 | 2009 | 66 | |
| 6 | 2003 | 62 | |
| 7 | 2007 | 37 | |
| 8 | 2005 | 32 | |
| 9 | 2018 | 22 | |
| 10 | 2017 | 13 | |
| 11 | 2002 | 12 | |
| 12 | 2018 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2018 | 7 | |
| 15 | 2004 | 2 | |
| 16 | 2018 | 2 | |
| 17 | The challenge of new drug discovery for | 2011 | 0 |
About Éric Arnoult
Éric Arnoult is a scholar working on Virology, Infectious Diseases, Computational Theory and Mathematics, Pharmacology and Biochemistry, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Cancer therapeutics and mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), Inflammatory mediators and NSAID effects (3 papers), Respiratory viral infections research (3 papers), HIV Research and Treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Infectious Diseases (572 citations), Molecular Medicine (76 citations), Organic Chemistry (376 citations), Epidemiology (415 citations) and Toxicology (38 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, Luc Morin‐Allory, Christophe Marot and Johan Unge. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Antimicrobial Chemotherapy, European Journal of Mass Spectrometry and European Biophysics Journal.
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.