Alexandre Borrel
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 16
- Co-authors
- Anne‐Claude Camproux (7 shared papers)Michel Petitjean (4 shared papers)Leslie Regad (5 shared papers)Henri Xhaard (4 shared papers)Denis Fourches (4 shared papers)Nicole Kleinstreuer (8 shared papers)Delphine Flatters (2 shared papers)Ruili Huang (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Nucleic Acids Research (4 papers)Bioinformatics (3 papers)BMC Bioinformatics (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesFranceFinland
In The Last Decade
Alexandre Borrel
26 papers receiving 654 citations
Peers
Comparison fields: 5 of 106
- Computational Theory and Mathematics 219
- Chemical Health and Safety 4
- Health, Toxicology and Mutagenesis 72
- Molecular Biology 324
- Environmental Chemistry 43
Countries citing papers authored by Alexandre Borrel
This map shows the geographic impact of Alexandre Borrel'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 Alexandre Borrel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Borrel more than expected).
Fields of papers citing papers by Alexandre Borrel
This network shows the impact of papers produced by Alexandre Borrel. 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 Alexandre Borrel. The network helps show where Alexandre Borrel may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandre Borrel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 157 | |
| 2 | 2015 | 81 | |
| 3 | 2020 | 79 | |
| 4 | 2016 | 74 | |
| 5 | 2020 | 37 | |
| 6 | 2021 | 30 | |
| 7 | 2017 | 29 | |
| 8 | 2017 | 23 | |
| 9 | 2022 | 23 | |
| 10 | 2012 | 21 | |
| 11 | 2016 | 20 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2015 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2025 | 4 |
About Alexandre Borrel
Alexandre Borrel is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Small Animals, Molecular Biology and Environmental Chemistry, having authored 29 papers that have together received 666 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (4 papers), Chemical Synthesis and Analysis (3 papers), Enzyme Structure and Function (3 papers), Bioinformatics and Genomic Networks (3 papers), Animal testing and alternatives (3 papers), Genomics and Phylogenetic Studies (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Computational Theory and Mathematics (219 citations), Chemical Health and Safety (4 citations), Health, Toxicology and Mutagenesis (72 citations), Molecular Biology (324 citations) and Environmental Chemistry (43 citations). Alexandre Borrel has collaborated with scholars based in United States, France and Finland. Frequent co-authors include Anne‐Claude Camproux, Michel Petitjean, Leslie Regad, Henri Xhaard, Denis Fourches, Nicole Kleinstreuer, Delphine Flatters, Ruili Huang, Menghang Xia and Kamel Mansouri. Their work appears in journals such as Journal of Chemical Information and Modeling, Nucleic Acids Research, Bioinformatics, BMC Bioinformatics and Scientific Reports.
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.