Paul M. Vancutsem
- Pharmacology top 10%
- Oncology
- Genetics
- Molecular Biology
- Molecular Medicine top 10%
- Co-authors
- John G. BabishWayne S. SchwarkP. LazarusGary M. WilliamsFrederique M. PouletKimberley A. TreinenRichard E. MorrisseyGail D. Bellward
- Topics
- Estrogen and related hormone effects (4 papers)Drug Transport and Resistance Mechanisms (3 papers)Pharmacogenetics and Drug Metabolism (3 papers)
- Cited by
- Molecular MedicinePharmacology
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Paul M. Vancutsem
15 papers receiving 418 citations
Peers
Comparison fields: 5 of 83
- Pharmacology 161
- Oncology 112
- Genetics 87
- Molecular Biology 78
- Molecular Medicine 67
Countries citing papers authored by Paul M. Vancutsem
This map shows the geographic impact of Paul M. Vancutsem'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 Paul M. Vancutsem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul M. Vancutsem more than expected).
Fields of papers citing papers by Paul M. Vancutsem
This network shows the impact of papers produced by Paul M. Vancutsem. 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 Paul M. Vancutsem. The network helps show where Paul M. Vancutsem may publish in the future.
Co-authorship network of co-authors of Paul M. Vancutsem
This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Vancutsem. A scholar is included among the top collaborators of Paul M. Vancutsem 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 Paul M. Vancutsem. Paul M. Vancutsem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 28 | |
| 4 | 27 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 16 | |
| 8 | 20 | |
| 9 | 25 | |
| 10 | 2 | |
| 11 | In vitro and in vivo study of the effects of enrofloxacin on hepatic cytochrome P-450. Potential for drug interactions. | 23 |
| 12 | Frequent and specific mutations of the rat p53 gene in hepatocarcinomas induced by tamoxifen. | 81 |
| 13 | 6 | |
| 14 | 8 | |
| 15 | The fluoroquinolone antimicrobials: structure, antimicrobial activity, pharmacokinetics, clinical use in domestic animals and toxicity. | 177 |
About Paul M. Vancutsem
Paul M. Vancutsem is a scholar working on Pharmacology, Behavioral Neuroscience and Molecular Medicine, having authored 15 papers that have together received 441 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Drug Transport and Resistance Mechanisms (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Molecular Medicine (67 citations), Pharmacology (161 citations) and Pharmacology (52 citations). Paul M. Vancutsem has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include John G. Babish, Wayne S. Schwark, P. Lazarus, Gary M. Williams, Frederique M. Poulet, Kimberley A. Treinen, Richard E. Morrissey, Gail D. Bellward, Laurence J. Altobell and Masahiko Kawai. Their work appears in journals such as Biological Psychiatry, European Journal of Cancer and Molecular Cancer Therapeutics.
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.