Marcel G.J. Tilanus

6.2k total citations
182 papers, 4.2k citations indexed

About

Marcel G.J. Tilanus is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Marcel G.J. Tilanus has authored 182 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Immunology, 27 papers in Molecular Biology and 27 papers in Hematology. Recurrent topics in Marcel G.J. Tilanus's work include T-cell and B-cell Immunology (108 papers), Immune Cell Function and Interaction (92 papers) and Immunotherapy and Immune Responses (41 papers). Marcel G.J. Tilanus is often cited by papers focused on T-cell and B-cell Immunology (108 papers), Immune Cell Function and Interaction (92 papers) and Immunotherapy and Immune Responses (41 papers). Marcel G.J. Tilanus collaborates with scholars based in Netherlands, United States and Australia. Marcel G.J. Tilanus's co-authors include Paul W. Wenink, Erik H. Rozemuller, A J Baker, Christina E.M. Voorter, Lotte Wieten, Pieter J. Slootweg, Roel A. de Weger, Allan J. Baker, Jan G. van den Tweel and Gerard M.J. Bos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and The Journal of Experimental Medicine.

In The Last Decade

Marcel G.J. Tilanus

179 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel G.J. Tilanus Netherlands 35 2.0k 889 796 732 477 182 4.2k
Geertruida M. Veldman United States 20 1.4k 0.7× 2.0k 2.3× 951 1.2× 594 0.8× 252 0.5× 26 4.3k
Vladimir Vincek United States 34 1.6k 0.8× 953 1.1× 570 0.7× 386 0.5× 154 0.3× 132 3.7k
Ken‐ichi Arai Japan 35 2.0k 1.0× 2.3k 2.6× 711 0.9× 695 0.9× 180 0.4× 94 4.7k
Joseph J. Catanese United States 34 1.3k 0.6× 1.3k 1.5× 1.3k 1.7× 306 0.4× 425 0.9× 64 4.7k
Jennifer L. Cannons United States 31 4.9k 2.4× 760 0.9× 375 0.5× 1.2k 1.6× 490 1.0× 45 5.9k
Gary S. Gray United States 27 3.2k 1.6× 1.2k 1.3× 490 0.6× 1.0k 1.4× 268 0.6× 36 5.4k
Urban Gullberg Sweden 35 1.2k 0.6× 1.6k 1.8× 502 0.6× 554 0.8× 579 1.2× 132 4.0k
Ole Nielsen Canada 33 1.1k 0.5× 866 1.0× 263 0.3× 738 1.0× 174 0.4× 104 3.6k
Michael Cross Germany 33 623 0.3× 1.7k 1.9× 587 0.7× 591 0.8× 910 1.9× 136 3.9k
Robert W. Tindle Australia 29 1.5k 0.7× 738 0.8× 402 0.5× 494 0.7× 329 0.7× 79 2.8k

Countries citing papers authored by Marcel G.J. Tilanus

Since Specialization
Citations

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

Fields of papers citing papers by Marcel G.J. Tilanus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel G.J. Tilanus. 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 Marcel G.J. Tilanus. The network helps show where Marcel G.J. Tilanus may publish in the future.

Co-authorship network of co-authors of Marcel G.J. Tilanus

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel G.J. Tilanus. A scholar is included among the top collaborators of Marcel G.J. Tilanus 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 Marcel G.J. Tilanus. Marcel G.J. Tilanus 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.
Mobegi, Fredrick M., Medhat Askar, Fatma Savran Oğuz, et al.. (2023). Report from the extended HLA‐DPA1 ~ promoter ~ HLA‐DPB1 haplotype of the 18th international HLA and immunogenetics workshop. HLA. 102(6). 690–706. 1 indexed citations
2.
Groeneweg, Mathijs, et al.. (2022). Polymorphic differences within HLA‐C alleles contribute to alternatively spliced transcripts lacking exon 5. HLA. 100(3). 232–243. 6 indexed citations
3.
Groeneweg, Mathijs, et al.. (2020). Polymorphism clustering of the 21.5 kb DPA‐promoter‐DPB region reveals novel extended full‐length haplotypes. HLA. 96(3). 299–311. 3 indexed citations
4.
Groeneweg, Mathijs, et al.. (2020). Long-Read Nanopore Sequencing Validated for Human Leukocyte Antigen Class I Typing in Routine Diagnostics. Journal of Molecular Diagnostics. 22(7). 912–919. 21 indexed citations
5.
D’Orsogna, Lloyd, et al.. (2019). A novel multiplexed 11 locus HLA full gene amplification assay using next generation sequencing. HLA. 95(2). 104–116. 10 indexed citations
6.
Voorter, Christina E.M., et al.. (2019). Insights into the polymorphism in HLA‐DRA and its evolutionary relationship with HLA haplotypes. HLA. 95(2). 117–127. 25 indexed citations
7.
Voorter, C.E.M., et al.. (2018). A new HLA‐C*05 allele, HLA‐C*05:156, characterized by full‐length hemizygous sequencing. HLA. 91(3). 212–213. 3 indexed citations
8.
Groeneweg, Mathijs, et al.. (2017). Polymorphism at residue 156 of the new HLA‐A*02:683 allele suggests immunological relevance. HLA. 90(2). 107–109. 2 indexed citations
9.
Walraven, Suzanna M. van, Anneke Brand, Martin B.A. Heemskerk, et al.. (2016). The increase of the global donor inventory is of limited benefit to patients of non-Northwestern European descent. Haematologica. 102(1). 176–183. 18 indexed citations
10.
Wieten, Lotte, et al.. (2015). HLA-E regulates NKG2C+ natural killer cell function through presentation of a restricted peptide repertoire. Human Immunology. 76(8). 578–586. 48 indexed citations
11.
12.
Rozemuller, Erik H., et al.. (2008). Activating KIRs exert a crucial role on relapse and overall survival after HLA-identical sibling transplantation. Molecular Immunology. 45(8). 2255–2261. 27 indexed citations
13.
Mickelson, E., Marcel G.J. Tilanus, Mary Carrington, et al.. (2006). 13th IHWS Shared Resources Joint Report. IHWG Cell and Gene Bank and reference cell panels.. UCL Discovery (University College London). 1 indexed citations
14.
Reinders, Judith, Erik H. Rozemuller, Henny G. Otten, et al.. (2005). Identification of HLA-A*0111N: A Synonymous Substitution, Introducing an Alternative Splice Site in Exon 3, Silenced the Expression of an HLA-A Allele. Human Immunology. 66(8). 912–920. 24 indexed citations
15.
Reinders, Judith, et al.. (2005). Extended HLA-DPB1 polymorphism: an RNA approach for HLA-DPB1 typing. Immunogenetics. 57(10). 790–794. 17 indexed citations
16.
Swelsen, Wendy, Christina E.M. Voorter, Marcel G.J. Tilanus, M. A. F. Kamps, & Ella M. van den Berg‐Loonen. (2004). No HLA-A gene detectable on one of the haplotypes in a caucasian family. Human Immunology. 66(2). 155–163. 5 indexed citations
17.
Rozemuller, Erik H., et al.. (1999). Mutation in the β2m gene is not a frequent event in head and neck squamous cell carcinomas. Human Immunology. 60(8). 697–706. 27 indexed citations
18.
Loiseau, Philippe M., M.N. Loste, V. Lepage, et al.. (1998). Description of a new DRB1*11 allele (DRB1*1132). Tissue Antigens. 52(4). 402–404. 4 indexed citations
19.
Rozemuller, Erik H., et al.. (1995). Exon 2, 3, and 4 polymorphism of HLA-DPA1. Immunogenetics. 41(1). 53–53. 3 indexed citations
20.
Rozemuller, Erik H., et al.. (1993). High-resolution HLA-DPB typing based upon computerized analysis of data obtained by fluorescent sequencing of the amplified polymorphic exon 2. Human Immunology. 38(4). 277–283. 81 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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