Ines Smit
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Computational Drug Discovery Methods 7
-
- Receptor Mechanisms and Signaling 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Francis Atkinson (2 shared papers)Mark Davies (1 shared paper)Michał Nowotka (1 shared paper)Anneli Karlsson (1 shared paper)A. Patrícia Bento (2 shared papers)Anne Hersey (1 shared paper)Elena Cibrián–Uhalte (1 shared paper)Louisa J. Bellis (1 shared paper)
- Journals
- Chemical Research in Toxicology (2 papers)Basic & Clinical Pharmacology & Toxicology (1 paper)Nucleic Acids Research (1 paper)Intelligence-Based Medicine (1 paper)npj Systems Biology and Applications (1 paper)
- Partner nations
- United KingdomGermanySweden
In The Last Decade
Ines Smit
7 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 1.1k
- Pharmacology 148
- Pharmacology 261
- Molecular Biology 1.0k
- Biophysics 46
Countries citing papers authored by Ines Smit
This map shows the geographic impact of Ines Smit'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 Ines Smit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ines Smit more than expected).
Fields of papers citing papers by Ines Smit
This network shows the impact of papers produced by Ines Smit. 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 Ines Smit. The network helps show where Ines Smit may publish in the future.
Co-authors
The 25 scholars most cited alongside Ines Smit, 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 | The ChEMBL database in 2017 Hit paper breakdown → | 2016 | 1589 |
| 2 | 2014 | 18 | |
| 3 | 2018 | 15 | |
| 4 | 2020 | 14 | |
| 5 | 2017 | 9 | |
| 6 | 2018 | 3 | |
| 7 | 2025 | 1 | |
| 8 | 2024 | 0 |
About Ines Smit
Ines Smit is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (3 papers), Receptor Mechanisms and Signaling (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cell Image Analysis Techniques (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Pharmacology (148 citations), Pharmacology (261 citations), Molecular Biology (1.0k citations) and Biophysics (46 citations). Ines Smit has collaborated with scholars based in United Kingdom, Germany and Sweden. Frequent co-authors include Francis Atkinson, Mark Davies, Michał Nowotka, Anneli Karlsson, A. Patrícia Bento, Anne Hersey, Elena Cibrián–Uhalte, Louisa J. Bellis, Nathan Dedman and María Paula Magariños. Their work appears in journals such as Chemical Research in Toxicology, Basic & Clinical Pharmacology & Toxicology, Nucleic Acids Research, Intelligence-Based Medicine and npj Systems Biology and Applications.
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.