Reine Note
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
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- Computational Drug Discovery Methods
Papers in
-
- Drug-Induced Hepatotoxicity and Protection 5
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- Computational Drug Discovery Methods 5
- Co-authors
- Lilia Fisk (2 shared papers)Russell T. Naven (1 shared paper)Nigel Greene (1 shared paper)Anne Riu (2 shared papers)Christopher J. Long (1 shared paper)Silvia Teissier (1 shared paper)Christopher W. McAleer (1 shared paper)Carlota Oleaga (1 shared paper)
- Journals
- Lab on a Chip (2 papers)Toxicology in Vitro (2 papers)Advanced Functional Materials (2 papers)Journal of Medicinal Chemistry (1 paper)Environmental Health Perspectives (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Reine Note
15 papers receiving 738 citations
Peers
Comparison fields: 5 of 76
- Pharmacology 125
- Computational Theory and Mathematics 207
- Small Animals 70
- Biomedical Engineering 276
- Chemical Health and Safety 4
Countries citing papers authored by Reine Note
This map shows the geographic impact of Reine Note'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 Reine Note with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reine Note more than expected).
Fields of papers citing papers by Reine Note
This network shows the impact of papers produced by Reine Note. 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 Reine Note. The network helps show where Reine Note may publish in the future.
Co-authors
The 25 scholars most cited alongside Reine Note, 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 | 2018 | 152 | |
| 2 | 2010 | 145 | |
| 3 | 2021 | 112 | |
| 4 | 2020 | 76 | |
| 5 | 2018 | 55 | |
| 6 | 2000 | 42 | |
| 7 | 2003 | 38 | |
| 8 | 2018 | 36 | |
| 9 | 2010 | 30 | |
| 10 | 2010 | 27 | |
| 11 | 2019 | 27 | |
| 12 | 2009 | 18 | |
| 13 | 2019 | 5 | |
| 14 | 1999 | 1 | |
| 15 | 2002 | 1 |
About Reine Note
Reine Note is a scholar working on Pharmacology, Computational Theory and Mathematics, Infectious Diseases, Biomedical Engineering and Small Animals, having authored 15 papers that have together received 765 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), 3D Printing in Biomedical Research (5 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), HIV/AIDS drug development and treatment (3 papers), Animal testing and alternatives (2 papers), HIV-related health complications and treatments (1 paper), Contact Dermatitis and Allergies (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Pharmacology (125 citations), Computational Theory and Mathematics (207 citations), Small Animals (70 citations), Biomedical Engineering (276 citations) and Chemical Health and Safety (4 citations). Reine Note has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Lilia Fisk, Russell T. Naven, Nigel Greene, Anne Riu, Christopher J. Long, Silvia Teissier, Christopher W. McAleer, Carlota Oleaga, Jessica Langer and Carlos A. Carmona‐Moran. Their work appears in journals such as Lab on a Chip, Toxicology in Vitro, Advanced Functional Materials, Journal of Medicinal Chemistry and Environmental Health Perspectives.
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.