P J Van Haastert
- Cell Biology top 0.5%
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Co-authors
- Pim M.W. JanssensPeter N. DevreotesA. Lyndsay DrayerBernd JastorffLongtao WuRoel van DrielThéo M. KonijnJeroen van der Kaay
- Topics
- Cellular Mechanics and Interactions (24 papers)3D Printing in Biomedical Research (7 papers)thermodynamics and calorimetric analyses (6 papers)
- Cited by
- Cell BiologyAgingBiophysics
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- NetherlandsUnited StatesPoland
In The Last Decade
P J Van Haastert
37 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Cell Biology 1.3k
- Molecular Biology 1.1k
- Biomedical Engineering 402
- Cellular and Molecular Neuroscience 262
- Physiology 174
Countries citing papers authored by P J Van Haastert
This map shows the geographic impact of P J Van Haastert'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 P J Van Haastert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P J Van Haastert more than expected).
Fields of papers citing papers by P J Van Haastert
This network shows the impact of papers produced by P J Van Haastert. 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 P J Van Haastert. The network helps show where P J Van Haastert may publish in the future.
Co-authorship network of co-authors of P J Van Haastert
This figure shows the co-authorship network connecting the top 25 collaborators of P J Van Haastert. A scholar is included among the top collaborators of P J Van Haastert 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 P J Van Haastert. P J Van Haastert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 6 | |
| 3 | 16 | |
| 4 | 71 | |
| 5 | 73 | |
| 6 | 32 | |
| 7 | 87 | |
| 8 | 72 | |
| 9 | 69 | |
| 10 | 14 | |
| 11 | 19 | |
| 12 | 34 | |
| 13 | 167 | |
| 14 | 8 | |
| 15 | 91 | |
| 16 | 60 | |
| 17 | 121 | |
| 18 | 14 | |
| 19 | 45 | |
| 20 | 26 |
About P J Van Haastert
P J Van Haastert is a scholar working on Cell Biology, Physical and Theoretical Chemistry and Pharmacology, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (24 papers), 3D Printing in Biomedical Research (7 papers) and thermodynamics and calorimetric analyses (6 papers). The work is most often cited by research in Cell Biology (1.3k citations), Aging (44 citations) and Biophysics (128 citations). P J Van Haastert has collaborated with scholars based in Netherlands, United States and Poland. Frequent co-authors include Pim M.W. Janssens, Peter N. Devreotes, A. Lyndsay Drayer, Bernd Jastorff, Longtao Wu, Roel van Driel, Théo M. Konijn, Jeroen van der Kaay, Janina Baraniak and Wojciech J. Stec. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.