Willem Verduyn

1.4k total citations
32 papers, 1.0k citations indexed

About

Willem Verduyn is a scholar working on Immunology, Rheumatology and Hematology. According to data from OpenAlex, Willem Verduyn has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 6 papers in Rheumatology and 5 papers in Hematology. Recurrent topics in Willem Verduyn's work include T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (9 papers) and Immunotherapy and Immune Responses (9 papers). Willem Verduyn is often cited by papers focused on T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (9 papers) and Immunotherapy and Immune Responses (9 papers). Willem Verduyn collaborates with scholars based in Netherlands, Ethiopia and United Kingdom. Willem Verduyn's co-authors include Geziena M. Th. Schreuder, T. Huizinga, René R. P. de Vries, Eric Zanelli, Ilias I.N. Doxiadis, Marius J. Giphart, Ferdinand C. Breedveld, J.J.M. Drabbels, Gerrie Stoeken‐Rijsbergen and René E. M. Toes and has published in prestigious journals such as Neurology, PLoS Medicine and Vaccine.

In The Last Decade

Willem Verduyn

32 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Willem Verduyn Netherlands 15 568 425 182 132 125 32 1.0k
Cor L. Verweij Netherlands 12 476 0.8× 233 0.5× 100 0.5× 146 1.1× 98 0.8× 17 1.0k
S B Cohen United Kingdom 19 665 1.2× 175 0.4× 153 0.8× 171 1.3× 169 1.4× 42 1.4k
Judith Endres United States 20 672 1.2× 491 1.2× 134 0.7× 161 1.2× 73 0.6× 22 1.3k
Daniel G. Arkfeld United States 15 264 0.5× 302 0.7× 116 0.6× 141 1.1× 76 0.6× 35 868
Xavier Valencia United States 10 1.1k 2.0× 507 1.2× 80 0.4× 89 0.7× 111 0.9× 21 1.6k
C.–C. Chan United States 13 371 0.7× 265 0.6× 245 1.3× 63 0.5× 72 0.6× 19 1.3k
Edward J. Ball United States 20 844 1.5× 287 0.7× 222 1.2× 173 1.3× 101 0.8× 55 1.3k
Jean L. Scholz United States 16 1.2k 2.1× 210 0.5× 114 0.6× 68 0.5× 93 0.7× 23 1.5k
H Dang United States 17 570 1.0× 200 0.5× 340 1.9× 72 0.5× 118 0.9× 28 1.0k
Ron J. Feldman United States 19 371 0.7× 359 0.8× 121 0.7× 72 0.5× 107 0.9× 42 1.2k

Countries citing papers authored by Willem Verduyn

Since Specialization
Citations

This map shows the geographic impact of Willem Verduyn'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 Willem Verduyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willem Verduyn more than expected).

Fields of papers citing papers by Willem Verduyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Willem Verduyn. 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 Willem Verduyn. The network helps show where Willem Verduyn may publish in the future.

Co-authorship network of co-authors of Willem Verduyn

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

All Works

20 of 20 papers shown
1.
Verhulst, Niels O., Yu Tong Qiu, Chris Maliepaard, et al.. (2013). Relation between HLA genes, human skin volatiles and attractiveness of humans to malaria mosquitoes. Infection Genetics and Evolution. 18. 87–93. 36 indexed citations
2.
Essen, T. Huibertus van, Inge H. G. Bronkhorst, Willem Maat, et al.. (2012). A Comparison of HLA Genotype with Inflammation in Uveal Melanoma. Investigative Ophthalmology & Visual Science. 53(6). 2640–2640. 8 indexed citations
3.
Anholts, Jacqueline D.H., et al.. (2009). Thirty‐six novel HLA alleles: 7 HLA‐A, 11 HLA‐B, 15 HLA‐C and 3 HLA‐DRB1. Tissue Antigens. 74(5). 424–428. 3 indexed citations
4.
Houwing‐Duistermaat, Jeanine J., Carine Wouters, Willem Verduyn, et al.. (2008). The TRAF1/C5 region is a risk factor for polyarthritis in juvenile idiopathic arthritis. Pediatric Rheumatology. 6(S1). 5 indexed citations
5.
6.
Kurreeman, Fina, Leonid Padyukov, Rute B. Marques, et al.. (2007). A Candidate Gene Approach Identifies the TRAF1/C5 Region as a Risk Factor for Rheumatoid Arthritis. PLoS Medicine. 4(9). e278–e278. 204 indexed citations
7.
Zanelli, Eric, Gavin C. Jones, M. Pascual, et al.. (2001). The telomeric part of the HLA region predisposes to rheumatoid arthritis independently of the class II loci. Human Immunology. 62(1). 75–84. 55 indexed citations
8.
Rood, M. J., M V van Krugten, Eric Zanelli, et al.. (2000). TNF-308A and HLA-DR3 alleles contribute independently to susceptibility to systemic lupus erythematosus. Arthritis & Rheumatism. 43(1). 129–134. 163 indexed citations
9.
Horst‐Bruinsma, Irene E. van der, Henk Visser, Johanna M W Hazes, et al.. (1999). HLA-DQ-associated predisposition to and dominant HLA-DR-associated protection against rheumatoid arthritis. Human Immunology. 60(2). 152–158. 95 indexed citations
10.
Zanelli, Eric, T. Huizinga, Thomas L. Vischer, et al.. (1998). An extended HLA-DQ-DR haplotype rather than DRB1 alone contributes to RA predisposition. Immunogenetics. 48(6). 394–401. 39 indexed citations
11.
Voorter, Christina E.M., et al.. (1997). Identification of a new HLA‐DRB 1*13 allele (DRB 1*1326) with a short DRB1*16 sequence. Tissue Antigens. 49(1). 88–91. 10 indexed citations
12.
Verduyn, Willem, et al.. (1995). Novel HLA-DPB1 alleles detected in the ethiopian population. Human Immunology. 42(2). 181–183. 4 indexed citations
13.
Anholts, Jacqueline D.H., Willem Verduyn, Ilias I.N. Doxiadis, et al.. (1995). Irregular polymerase chain reaction—sequence-specific oligonucleotide hybridization patterns reveal seven new HLA-DRB1 alleles related to DR2, DR3, DR6, DR8, and DR11. Human Immunology. 42(1). 15–22. 14 indexed citations
14.
Verduyn, Willem, et al.. (1995). A complete exon 2 sequence of the HLA‐DPA1*02012 allele. Tissue Antigens. 46(3). 206–207. 4 indexed citations
15.
Verduyn, Willem, J. J. van Rood, Frans H.J. Claas, et al.. (1994). The use of HLA-DPB1 matching in selecting matched unrelated bone marrow donors. Human Immunology. 39(2). 127–127. 1 indexed citations
16.
Verduyn, Willem, Ilias I.N. Doxiadis, Jacqueline D.H. Anholts, et al.. (1993). Biotinylated DRB sequence-specific oligonucleotides Comparison to serologic HLA-DR typing of organ donors in eurotransplant. Human Immunology. 37(1). 59–67. 123 indexed citations
17.
Giphart, Marius J., Bart O. Roep, J.J.M. Drabbels, et al.. (1992). Relative contribution of HLA-DQA and -DQB alleles to predisposition to insulin-dependent diabetes mellitus. Human Immunology. 34(2). 142–146. 14 indexed citations
18.
Termijtelen, A., H.A. Erlich, Laura Braun, et al.. (1991). Oligonucleotide typing is a perfect tool to identify antigens stimulatory in the mixed lymphocyte culture. Human Immunology. 31(4). 241–245. 28 indexed citations
19.
Schreuder, Geziena M. Th., et al.. (1991). Increasing complexity of HLA-DR2 as detected by serology and oligonucleotide typing. Human Immunology. 32(2). 141–149. 25 indexed citations
20.
Claas, Frans H.J., Jan M. van Ree, W.M.A. Verhoeven, et al.. (1986). The interaction between γ-type endorphins and HLA class I antigens. Human Immunology. 15(4). 347–356. 22 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026