Alexandre G. de Brevern
- Molecular Biology top 2%
- Protein Structure and Dynamics 99
- RNA and protein synthesis mechanisms 46
- Machine Learning in Bioinformatics 33
- Glycosylation and Glycoproteins Research 24
- Genomics and Phylogenetic Studies 16
- Materials Chemistry top 5%
- Enzyme Structure and Function 66
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- Computational Drug Discovery Methods 12
- Hematology top 5%
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- Monoclonal and Polyclonal Antibodies Research 20
- Co-authors
- S. HazoutJean‐Christophe GellyAurélie BornotNarayanaswamy SrinivasanAgnel Praveen JosephCristina BenrosNicolas K. ShinadaAlain Malpertuy
In The Last Decade
Alexandre G. de Brevern
154 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.1k
- Materials Chemistry 1.2k
- Computational Theory and Mathematics 253
- Hematology 167
- Radiology, Nuclear Medicine and Imaging 323
Countries citing papers authored by Alexandre G. de Brevern
This map shows the geographic impact of Alexandre G. de Brevern'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 G. de Brevern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre G. de Brevern more than expected).
Fields of papers citing papers by Alexandre G. de Brevern
This network shows the impact of papers produced by Alexandre G. de Brevern. 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 G. de Brevern. The network helps show where Alexandre G. de Brevern may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexandre G. de Brevern, 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 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 10 | |
| 18 | 2017 | 14 | |
| 19 | 2013 | 16 | |
| 20 | 2013 | 41 |
About Alexandre G. de Brevern
Alexandre G. de Brevern is a scholar working on Molecular Biology, Hematology, Materials Chemistry, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 157 papers that have together received 3.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (99 papers), Enzyme Structure and Function (66 papers), RNA and protein synthesis mechanisms (46 papers), Machine Learning in Bioinformatics (33 papers), Glycosylation and Glycoproteins Research (24 papers), Monoclonal and Polyclonal Antibodies Research (20 papers), Genomics and Phylogenetic Studies (16 papers) and Computational Drug Discovery Methods (12 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Materials Chemistry (1.2k citations), Computational Theory and Mathematics (253 citations), Hematology (167 citations) and Radiology, Nuclear Medicine and Imaging (323 citations). Alexandre G. de Brevern has collaborated with scholars based in France, India and Réunion. Frequent co-authors include S. Hazout, Jean‐Christophe Gelly, Aurélie Bornot, Narayanaswamy Srinivasan, Agnel Praveen Joseph, Cristina Benros, Nicolas K. Shinada, Alain Malpertuy, Pierrick Craveur and Bernard Offmann. Their work appears in journals such as Biochimie, International Journal of Molecular Sciences, Proteins Structure Function and Bioinformatics, Nucleic Acids Research and Protein Science.
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.