David Asturiol
- Materials Chemistry
- Health, Toxicology and Mutagenesis top 10%
- Dermatology top 5%
- Computational Theory and Mathematics top 5%
- Small Animals top 5%
- Co-authors
- Andrew WorthLara LamonKarin AschbergerSilvana CasatiPilar PrietoRabea GraepelElisabeth JoossensSilvia Casati
- Topics
- Animal testing and alternatives (10 papers)Computational Drug Discovery Methods (7 papers)Nanoparticles: synthesis and applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaChemical Research in ToxicologyParticle and Fibre Toxicology
- Partner nations
- ItalyUnited KingdomCanada
In The Last Decade
David Asturiol
19 papers receiving 429 citations
Peers
Comparison fields: 5 of 85
- Materials Chemistry 129
- Health, Toxicology and Mutagenesis 108
- Dermatology 101
- Computational Theory and Mathematics 100
- Small Animals 83
Countries citing papers authored by David Asturiol
This map shows the geographic impact of David Asturiol'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 David Asturiol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Asturiol more than expected).
Fields of papers citing papers by David Asturiol
This network shows the impact of papers produced by David Asturiol. 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 David Asturiol. The network helps show where David Asturiol may publish in the future.
Co-authorship network of co-authors of David Asturiol
This figure shows the co-authorship network connecting the top 25 collaborators of David Asturiol. A scholar is included among the top collaborators of David Asturiol 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 David Asturiol. David Asturiol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 26 | |
| 4 | 23 | |
| 5 | 39 | |
| 6 | 43 | |
| 7 | 16 | |
| 8 | 30 | |
| 9 | 17 | |
| 10 | 56 | |
| 11 | 18 | |
| 12 | EURL ECVAM Rodent In Vivo Biotransformation Database | 0 |
| 13 | 14 | |
| 14 | 9 | |
| 15 | Computational models for the safety assessment of nanomaterials | 1 |
| 16 | 44 | |
| 17 | 45 | |
| 18 | 4 | |
| 19 | 35 | |
| 20 | 8 |
About David Asturiol
David Asturiol is a scholar working on Small Animals, Dermatology and Computational Theory and Mathematics, having authored 20 papers that have together received 441 indexed citations. Recurring topics across this work include Animal testing and alternatives (10 papers), Computational Drug Discovery Methods (7 papers) and Nanoparticles: synthesis and applications (6 papers). The work is most often cited by research in Chemical Health and Safety (8 citations), Dermatology (101 citations) and Small Animals (83 citations). David Asturiol has collaborated with scholars based in Italy, United Kingdom and Canada. Frequent co-authors include Andrew Worth, Lara Lamon, Karin Aschberger, Silvana Casati, Pilar Prieto, Rabea Graepel, Elisabeth Joossens, Silvia Casati, David A. Basketter and Grace Patlewicz. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Research in Toxicology and Particle and Fibre Toxicology.
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.