Olivier Spérandio
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Organic Chemistry top 5%
- Pharmacology top 2%
- Materials Chemistry
- Co-authors
- Bruno O. VilloutreixMaria A. MitevaDavid LagorceCéline M. LabbéAnne‐Claude CamprouxMélaine A. KuenemannJonathan B. BaellHervé Galons
- Topics
- Computational Drug Discovery Methods (37 papers)Microbial Natural Products and Biosynthesis (18 papers)Click Chemistry and Applications (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- FranceNetherlandsAustralia
In The Last Decade
Olivier Spérandio
52 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.7k
- Computational Theory and Mathematics 1.2k
- Organic Chemistry 438
- Pharmacology 404
- Materials Chemistry 195
Countries citing papers authored by Olivier Spérandio
This map shows the geographic impact of Olivier Spérandio'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 Olivier Spérandio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Spérandio more than expected).
Fields of papers citing papers by Olivier Spérandio
This network shows the impact of papers produced by Olivier Spérandio. 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 Olivier Spérandio. The network helps show where Olivier Spérandio may publish in the future.
Co-authorship network of co-authors of Olivier Spérandio
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Spérandio. A scholar is included among the top collaborators of Olivier Spérandio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olivier Spérandio. Olivier Spérandio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 16 | |
| 4 | 133 | |
| 5 | 25 | |
| 6 | 182 | |
| 7 | 38 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 79 | |
| 11 | 22 | |
| 12 | 21 | |
| 13 | 81 | |
| 14 | 57 | |
| 15 | 207 | |
| 16 | 10 | |
| 17 | 21 | |
| 18 | 21 | |
| 19 | 46 | |
| 20 | Virtual Ligand Screening for Structure-based Drug Design: Approaches and Progress | 1 |
About Olivier Spérandio
Olivier Spérandio is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (37 papers), Microbial Natural Products and Biosynthesis (18 papers) and Click Chemistry and Applications (11 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Toxicology (96 citations) and Molecular Biology (1.7k citations). Olivier Spérandio has collaborated with scholars based in France, Netherlands and Australia. Frequent co-authors include Bruno O. Villoutreix, Maria A. Miteva, David Lagorce, Céline M. Labbé, Anne‐Claude Camproux, Mélaine A. Kuenemann, Jonathan B. Baell, Hervé Galons, Christelle Reynès and Pierre Tufféry. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.