Peter J.K. van Meer
- Molecular Biology
- Immunology
- Small Animals top 5%
- Radiology, Nuclear Medicine and Imaging
- Computational Theory and Mathematics top 10%
- Co-authors
- Ellen H.M. MoorsHuub SchellekensChristine C. Gispen‐de WiedDésirée H. Veening-GriffioenGuilherme S. FerreiraWouter BoonBeatriz Silva LimaVera Brinks
- Topics
- Computational Drug Discovery Methods (7 papers)Animal testing and alternatives (7 papers)Biosimilars and Bioanalytical Methods (6 papers)
- Partner nations
- NetherlandsPortugalSlovenia
In The Last Decade
Peter J.K. van Meer
16 papers receiving 386 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 116
- Immunology 112
- Small Animals 77
- Radiology, Nuclear Medicine and Imaging 76
- Computational Theory and Mathematics 60
Countries citing papers authored by Peter J.K. van Meer
This map shows the geographic impact of Peter J.K. van Meer'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 Peter J.K. van Meer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J.K. van Meer more than expected).
Fields of papers citing papers by Peter J.K. van Meer
This network shows the impact of papers produced by Peter J.K. van Meer. 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 Peter J.K. van Meer. The network helps show where Peter J.K. van Meer may publish in the future.
Co-authorship network of co-authors of Peter J.K. van Meer
This figure shows the co-authorship network connecting the top 25 collaborators of Peter J.K. van Meer. A scholar is included among the top collaborators of Peter J.K. van Meer 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 Peter J.K. van Meer. Peter J.K. van Meer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 51 | |
| 6 | 6 | |
| 7 | 40 | |
| 8 | 39 | |
| 9 | 6 | |
| 10 | 21 | |
| 11 | 33 | |
| 12 | 22 | |
| 13 | 17 | |
| 14 | 100 | |
| 15 | 10 | |
| 16 | 35 | |
| 17 | 12 |
About Peter J.K. van Meer
Peter J.K. van Meer is a scholar working on Small Animals, Business and International Management and Computational Theory and Mathematics, having authored 17 papers that have together received 411 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Animal testing and alternatives (7 papers) and Biosimilars and Bioanalytical Methods (6 papers). The work is most often cited by research in Small Animals (77 citations), Immunology (112 citations) and Computational Theory and Mathematics (60 citations). Peter J.K. van Meer has collaborated with scholars based in Netherlands, Portugal and Slovenia. Frequent co-authors include Ellen H.M. Moors, Huub Schellekens, Christine C. Gispen‐de Wied, Désirée H. Veening-Griffioen, Guilherme S. Ferreira, Wouter Boon, Beatriz Silva Lima, Vera Brinks, Melanie L. Graham and Henk‐Jan Schuurman. Their work appears in journals such as PLoS ONE, European Journal of Pharmacology and Technological Forecasting and Social Change.
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.