Frank J. Beurskens
- Immunology top 0.5%
- Complement system in diseases 29
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 8
- Virology top 1%
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- Monoclonal and Polyclonal Antibodies Research 51
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 14
- Hematology top 2%
- Blood groups and transfusion 13
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- Glycosylation and Glycoproteins Research 17
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- Bacterial Infections and Vaccines 5
- Co-authors
- Paul W.H.I. ParrenJanine SchuurmanJan G. J. van de WinkelRonald P. TaylorMargaret A. LindorferRob N. de JongDennis R. BurtonJoost M. Bakker
- Partner nations
- NetherlandsUnited StatesDenmark
In The Last Decade
Frank J. Beurskens
71 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 2.7k
- Virology 494
- Radiology, Nuclear Medicine and Imaging 1.8k
- Genetics 571
- Hematology 436
Countries citing papers authored by Frank J. Beurskens
This map shows the geographic impact of Frank J. Beurskens'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 Frank J. Beurskens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank J. Beurskens more than expected).
Fields of papers citing papers by Frank J. Beurskens
This network shows the impact of papers produced by Frank J. Beurskens. 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 Frank J. Beurskens. The network helps show where Frank J. Beurskens may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank J. Beurskens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 10 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 39 | |
| 7 | 2021 | 67 | |
| 8 | 2020 | 36 | |
| 9 | 2019 | 62 | |
| 10 | 2018 | 25 | |
| 11 | 2017 | 23 | |
| 12 | 2016 | 48 | |
| 13 | 2016 | 153 | |
| 14 | 2011 | 55 | |
| 15 | 2009 | 198 | |
| 16 | 2008 | 134 | |
| 17 | 2008 | 96 | |
| 18 | 2005 | 67 | |
| 19 | 2003 | 138 | |
| 20 | 2000 | 6 |
About Frank J. Beurskens
Frank J. Beurskens is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Hematology, having authored 72 papers that have together received 4.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (51 papers), Complement system in diseases (29 papers), Glycosylation and Glycoproteins Research (17 papers), Chronic Lymphocytic Leukemia Research (14 papers), Blood groups and transfusion (13 papers), T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Bacterial Infections and Vaccines (5 papers). The work is most often cited by research in Immunology (2.7k citations), Virology (494 citations) and Radiology, Nuclear Medicine and Imaging (1.8k citations). Frank J. Beurskens has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Paul W.H.I. Parren, Janine Schuurman, Jan G. J. van de Winkel, Ronald P. Taylor, Margaret A. Lindorfer, Rob N. de Jong, Dennis R. Burton, Joost M. Bakker, Albert J. R. Heck and Kristin Strumane. Their work appears in journals such as The Journal of Immunology, Molecular Immunology, Blood, Haematologica and Clinical & Experimental 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.