Wouter Pos

1.2k total citations
18 papers, 901 citations indexed

About

Wouter Pos is a scholar working on Immunology, Hematology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Wouter Pos has authored 18 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 7 papers in Hematology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Wouter Pos's work include Complement system in diseases (7 papers), Platelet Disorders and Treatments (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Wouter Pos is often cited by papers focused on Complement system in diseases (7 papers), Platelet Disorders and Treatments (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Wouter Pos collaborates with scholars based in Netherlands, United States and Switzerland. Wouter Pos's co-authors include Kai W. Wucherpfennig, Jan Voorberg, Rob Fijnheer, Brenda M. Luken, Dhruv K. Sethi, Nicoletta Sorvillo, Ludvig M. Sollid, Monika‐Sarah E. D. Schulze, Nico Vermeulen and Paul Kaijen and has published in prestigious journals such as Nature, Cell and Blood.

In The Last Decade

Wouter Pos

18 papers receiving 893 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wouter Pos Netherlands 13 597 306 194 135 131 18 901
Géza Ambrus Hungary 11 357 0.6× 230 0.8× 140 0.7× 27 0.2× 101 0.8× 15 620
Bie Verbist Belgium 10 229 0.4× 416 1.4× 437 2.3× 369 2.7× 109 0.8× 26 1.0k
Ami Miller United Kingdom 12 196 0.3× 433 1.4× 71 0.4× 143 1.1× 34 0.3× 23 747
Scott W. Reid United Kingdom 9 563 0.9× 407 1.3× 145 0.7× 150 1.1× 36 0.3× 13 996
Susan L. Cranmer Australia 18 172 0.3× 249 0.8× 541 2.8× 97 0.7× 70 0.5× 24 1.1k
Russell A. Hammond United States 13 210 0.4× 321 1.0× 39 0.2× 79 0.6× 16 0.1× 19 725
Josef Brüggen Switzerland 10 416 0.7× 779 2.5× 103 0.5× 203 1.5× 54 0.4× 13 1.2k
Bruce Rankin United States 12 656 1.1× 409 1.3× 71 0.4× 116 0.9× 23 0.2× 16 1.2k
Margaret S. Dordal United States 10 215 0.4× 432 1.4× 153 0.8× 129 1.0× 40 0.3× 12 822
Magdalena Wysocka Poland 19 119 0.2× 490 1.6× 52 0.3× 189 1.4× 29 0.2× 63 836

Countries citing papers authored by Wouter Pos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wouter Pos

This figure shows the co-authorship network connecting the top 25 collaborators of Wouter Pos. A scholar is included among the top collaborators of Wouter Pos 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 Wouter Pos. Wouter Pos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Schotte, Remko, Julien Villaudy, Martijn Kedde, et al.. (2020). 580P AT1412, a patient-derived CD9 antibody promotes tumour immune infiltration and induces tumour rejection. Annals of Oncology. 31. S492–S492. 1 indexed citations
2.
Villaudy, Julien, Remko Schotte, Wouter Pos, et al.. (2020). 582P Preclinical development of AT1412, a patient derived CD9 antibody that does not induce thrombosis for treatment of precursor B ALL. Annals of Oncology. 31. S493–S493. 3 indexed citations
3.
Oosterheert, Wout, Katerina T. Xenaki, Wouter Pos, et al.. (2020). Implications for tetraspanin-enriched microdomain assembly based on structures of CD9 with EWI-F. Life Science Alliance. 3(11). e202000883–e202000883. 23 indexed citations
4.
Schotte, Remko, Wouter Pos, Etsuko Yasuda, et al.. (2019). AT1412, a Patient-Derived Antibody in Development for the Treatment of CD9 Positive Precursor B-Acute Lymphoblastic Leukemia. Blood. 134(Supplement_1). 4461–4461. 4 indexed citations
5.
Schotte, Remko, Julien Villaudy, Els M.E. Verdegaal, et al.. (2018). 14 A patient derived antibody targeting the tetraspanin CD9 inhibits tumour progression and metastasis. ESMO Open. 3. A6–A7. 1 indexed citations
6.
Haag, Sabrina, et al.. (2017). The role of MHC class II polymorphisms for DM-mediated peptide editing and autoimmunity. The Journal of Immunology. 198(Supplement_1). 156.24–156.24. 1 indexed citations
7.
Zhou, Penghui, Donald R. Shaffer, Diana Alvarez Arias, et al.. (2014). In vivo discovery of immunotherapy targets in the tumour microenvironment. Nature. 506(7486). 52–57. 181 indexed citations
8.
Sollid, Ludvig M., Wouter Pos, & Kai W. Wucherpfennig. (2014). Molecular mechanisms for contribution of MHC molecules to autoimmune diseases. Current Opinion in Immunology. 31. 24–30. 70 indexed citations
9.
Sorvillo, Nicoletta, Paul Kaijen, Masanori Matsumoto, et al.. (2014). Identification of N‐linked glycosylation and putative O‐fucosylation, C‐mannosylation sites in plasma derived ADAMTS13. Journal of Thrombosis and Haemostasis. 12(5). 670–679. 26 indexed citations
10.
Pos, Wouter, Dhruv K. Sethi, & Kai W. Wucherpfennig. (2013). Mechanisms of peptide repertoire selection by HLA-DM. Trends in Immunology. 34(10). 495–501. 44 indexed citations
11.
Pos, Wouter, Dhruv K. Sethi, Melissa Call, et al.. (2012). Crystal Structure of the HLA-DM–HLA-DR1 Complex Defines Mechanisms for Rapid Peptide Selection. Cell. 151(7). 1557–1568. 125 indexed citations
12.
Sorvillo, Nicoletta, Wouter Pos, Linda Berg, et al.. (2012). The macrophage mannose receptor promotes uptake of ADAMTS13 by dendritic cells. Blood. 119(16). 3828–3835. 37 indexed citations
13.
Pos, Wouter, Brenda M. Luken, Nicoletta Sorvillo, Johanna A. Kremer Hovinga, & Jan Voorberg. (2011). Humoral immune response to ADAMTS13 in acquired thrombotic thrombocytopenic purpura. Journal of Thrombosis and Haemostasis. 9(7). 1285–1291. 31 indexed citations
14.
Pos, Wouter, Nicoletta Sorvillo, Rob Fijnheer, et al.. (2011). Residues Arg568 and Phe592 contribute to an antigenic surface for anti-ADAMTS13 antibodies in the spacer domain. Haematologica. 96(11). 1670–1677. 65 indexed citations
15.
Pos, Wouter, James T. B. Crawley, Rob Fijnheer, et al.. (2009). An autoantibody epitope comprising residues R660, Y661, and Y665 in the ADAMTS13 spacer domain identifies a binding site for the A2 domain of VWF. Blood. 115(8). 1640–1649. 104 indexed citations
16.
Pos, Wouter, Brenda M. Luken, Johanna A. Kremer Hovinga, et al.. (2008). VH1‐69 germline encoded antibodies directed towards ADAMTS13 in patients with acquired thrombotic thrombocytopenic purpura. Journal of Thrombosis and Haemostasis. 7(3). 421–428. 45 indexed citations
17.
Luken, Brenda M., Ellen A.M. Turenhout, Paul Kaijen, et al.. (2006). Amino acid regions 572–579 and 657–666 of the spacer domain of ADAMTS13 provide a common antigenic core required for binding of antibodies in patients with acquired TTP. Thrombosis and Haemostasis. 96(9). 295–301. 50 indexed citations
18.
Graaf, Chris de, Pavel Pospíšil, Wouter Pos, Gerd Folkers, & Nico Vermeulen. (2005). Binding Mode Prediction of Cytochrome P450 and Thymidine Kinase Protein−Ligand Complexes by Consideration of Water and Rescoring in Automated Docking. Journal of Medicinal Chemistry. 48(7). 2308–2318. 90 indexed citations

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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