Piet J. Boender
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Hepatology top 10%
- Epidemiology
- Co-authors
- Rob RuijtenbeekRik de WijnBob van GemenAntonella CerinoBert KazemierNicola La MonicaMario U. MondelliAlan Chan
- Topics
- Monoclonal and Polyclonal Antibodies Research (9 papers)Glycosylation and Glycoproteins Research (4 papers)Gene expression and cancer classification (3 papers)
- Partner nations
- NetherlandsItalyUnited Kingdom
In The Last Decade
Piet J. Boender
24 papers receiving 557 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 330
- Radiology, Nuclear Medicine and Imaging 200
- Oncology 87
- Hepatology 84
- Epidemiology 75
Countries citing papers authored by Piet J. Boender
This map shows the geographic impact of Piet J. Boender'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 Piet J. Boender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piet J. Boender more than expected).
Fields of papers citing papers by Piet J. Boender
This network shows the impact of papers produced by Piet J. Boender. 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 Piet J. Boender. The network helps show where Piet J. Boender may publish in the future.
Co-authorship network of co-authors of Piet J. Boender
This figure shows the co-authorship network connecting the top 25 collaborators of Piet J. Boender. A scholar is included among the top collaborators of Piet J. Boender 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 Piet J. Boender. Piet J. Boender is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 48 | |
| 3 | 44 | |
| 4 | 20 | |
| 5 | 104 | |
| 6 | 17 | |
| 7 | 18 | |
| 8 | 7 | |
| 9 | Use of flow-through peptide-microarrays for cell-lysate profiling | 1 |
| 10 | 61 | |
| 11 | Multiplex detection of plant pathogens by microarrays: an innovative tool for plant health management | 2 |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 32 | |
| 15 | 7 | |
| 16 | 31 | |
| 17 | 38 | |
| 18 | 18 | |
| 19 | 3 | |
| 20 | 12 |
About Piet J. Boender
Piet J. Boender is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Hepatology, having authored 24 papers that have together received 582 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Glycosylation and Glycoproteins Research (4 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Hepatology (84 citations), Radiology, Nuclear Medicine and Imaging (200 citations) and Virology (23 citations). Piet J. Boender has collaborated with scholars based in Netherlands, Italy and United Kingdom. Frequent co-authors include Rob Ruijtenbeek, Rik de Wijn, Bob van Gemen, Antonella Cerino, Bert Kazemier, Nicola La Monica, Mario U. Mondelli, Alan Chan, Peter Oudshoorn and Eveline S.J.M. de Bont. Their work appears in journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.
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.