Marleen De Veij
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Materials Chemistry
- Analytical Chemistry top 2%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Peter VandenabeeleLuc MoënsA. Patrícia BentoEloy FélixAnna GaultonAndrew R. LeachGregory A. LandrumAnne Hersey
- Topics
- Pharmaceutical Quality and Counterfeiting (4 papers)Computational Drug Discovery Methods (3 papers)Identification and Quantification in Food (3 papers)
- Partner nations
- United KingdomBelgiumAustralia
In The Last Decade
Marleen De Veij
11 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 577
- Computational Theory and Mathematics 541
- Materials Chemistry 229
- Analytical Chemistry 187
- Public Health, Environmental and Occupational Health 183
Countries citing papers authored by Marleen De Veij
This map shows the geographic impact of Marleen De Veij'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 Marleen De Veij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marleen De Veij more than expected).
Fields of papers citing papers by Marleen De Veij
This network shows the impact of papers produced by Marleen De Veij. 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 Marleen De Veij. The network helps show where Marleen De Veij may publish in the future.
Co-authorship network of co-authors of Marleen De Veij
This figure shows the co-authorship network connecting the top 25 collaborators of Marleen De Veij. A scholar is included among the top collaborators of Marleen De Veij 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 Marleen De Veij. Marleen De Veij 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 | The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periodsbreakdown → | 469 |
| 3 | An open source chemical structure curation pipeline using RDKitbreakdown → | 386 |
| 4 | 9 | |
| 5 | 31 | |
| 6 | Detection of counterfeit erectile dysfunction drugs with Raman spectroscopy | 4 |
| 7 | 193 | |
| 8 | 93 | |
| 9 | 80 | |
| 10 | 69 | |
| 11 | 31 |
About Marleen De Veij
Marleen De Veij is a scholar working on Biophysics, Pharmacology and Computational Theory and Mathematics, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmaceutical Quality and Counterfeiting (4 papers), Computational Drug Discovery Methods (3 papers) and Identification and Quantification in Food (3 papers). The work is most often cited by research in Computational Theory and Mathematics (541 citations), Biophysics (173 citations) and Analytical Chemistry (187 citations). Marleen De Veij has collaborated with scholars based in United Kingdom, Belgium and Australia. Frequent co-authors include Peter Vandenabeele, Luc Moëns, A. Patrícia Bento, Eloy Félix, Anna Gaulton, Andrew R. Leach, Gregory A. Landrum, Anne Hersey, Francis Atkinson and Louisa J. Bellis. Their work appears in journals such as Nucleic Acids Research, Environmental Science & Technology and Journal of Medicinal Chemistry.
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.