Peter J.K. van Meer

673 citations
17 papers · 411 indexed · h-index 11

Peter J.K. van Meer

16 papers receiving 386 citations

Peers

Peter J.K. van Meer
Comparison fields: 5 of 109
  • Small Animals 77
  • Immunology 112
  • Computational Theory and Mathematics 60
  • Radiology, Nuclear Medicine and Imaging 76
  • Biological Psychiatry 8
Replace Maria Grazia Mascolo with:
Maria Grazia Mascolo Italy
Anitha Alex United States
Laurent Winckers Netherlands
Mireia Vilardell Spain
Noah Letwin United States
Xi Luo China
Danielle Fontaine United States
Patrick K. Kimes United States
Rong Xu China
Peter J.K. van Meer relative to Maria Grazia Mascolo Italy Maria Grazia Mascolo's profile →
Citations per field
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Maria Grazia Mascolo · 1×
Citations per year

Countries citing papers authored by Peter J.K. van Meer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Peter J.K. van Meer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter J.K. van Meer Line = papers co-authored together Peter J.K. van Meer links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20240
2 20242
3 20233
4 202114
5 202051
6 20206
7 201940
8 201939
9 20186
10 201721
11 201533
12 201422
13 201317
14 2013100
15 201310
16 201235
17 201212

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), Biosimilars and Bioanalytical Methods (6 papers), Pharmaceutical studies and practices (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Biomedical Ethics and Regulation (1 paper), Pluripotent Stem Cells Research (1 paper) and Reproductive Biology and Fertility (1 paper). 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.

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