Wouter Pos
Impact in
- Immunology top 5%
- Complement system in diseases
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
- Immunology 14
- Complement system in diseases 7
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Kai W. Wucherpfennig (5 shared papers)Jan Voorberg (7 shared papers)Rob Fijnheer (6 shared papers)Brenda M. Luken (4 shared papers)Dhruv K. Sethi (2 shared papers)Nicoletta Sorvillo (4 shared papers)Ludvig M. Sollid (1 shared paper)Chris de Graaf (1 shared paper)
- Journals
- Journal of Thrombosis and Haemostasis (3 papers)Blood (3 papers)Annals of Oncology (2 papers)Thrombosis and Haemostasis (1 paper)Trends in Immunology (1 paper)
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Wouter Pos
18 papers receiving 955 citations
Peers
Comparison fields: 5 of 74
- Immunology 629
- Nephrology 111
- Hematology 169
- Genetics 104
- Immunology and Allergy 35
Countries citing papers authored by Wouter Pos
This map shows the geographic impact of Wouter Pos'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 Wouter Pos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Pos more than expected).
Fields of papers citing papers by Wouter Pos
This network shows the impact of papers produced by Wouter Pos. 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 Wouter Pos. The network helps show where Wouter Pos may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Pos, 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 | 2014 | 186 | |
| 2 | 2012 | 132 | |
| 3 | 2009 | 112 | |
| 4 | 2005 | 99 | |
| 5 | 2014 | 74 | |
| 6 | 2011 | 71 | |
| 7 | 2006 | 56 | |
| 8 | 2008 | 53 | |
| 9 | 2013 | 46 | |
| 10 | 2012 | 40 | |
| 11 | 2011 | 35 | |
| 12 | 2014 | 30 | |
| 13 | 2020 | 25 | |
| 14 | 2019 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2018 | 1 |
About Wouter Pos
Wouter Pos is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Hematology, Molecular Biology and Oncology, having authored 18 papers that have together received 969 indexed citations. Recurring topics across this work include Complement system in diseases (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Cell Adhesion Molecules Research (3 papers), Immune Cell Function and Interaction (3 papers), Platelet Disorders and Treatments (3 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Immunology (629 citations), Nephrology (111 citations), Hematology (169 citations), Genetics (104 citations) and Immunology and Allergy (35 citations). Wouter Pos has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Kai W. Wucherpfennig, Jan Voorberg, Rob Fijnheer, Brenda M. Luken, Dhruv K. Sethi, Nicoletta Sorvillo, Ludvig M. Sollid, Chris de Graaf, Nico Vermeulen and Pavel Pospíšil. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Blood, Annals of Oncology, Thrombosis and Haemostasis and Trends in 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.