Henk E. Viëtor

580 total citations
25 papers, 442 citations indexed

About

Henk E. Viëtor is a scholar working on Hematology, Immunology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Henk E. Viëtor has authored 25 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 7 papers in Immunology and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Henk E. Viëtor's work include Blood groups and transfusion (10 papers), Prenatal Screening and Diagnostics (4 papers) and Acute Myeloid Leukemia Research (3 papers). Henk E. Viëtor is often cited by papers focused on Blood groups and transfusion (10 papers), Prenatal Screening and Diagnostics (4 papers) and Acute Myeloid Leukemia Research (3 papers). Henk E. Viëtor collaborates with scholars based in Netherlands, United States and Germany. Henk E. Viëtor's co-authors include Frits Koning, Frank A. W. Verreck, Anneke Brand, Peter J. van den Elsen, Nienke van der Stoep, Marlijn van Zutphen, Louis Wilson, H. H. H. Kanhai, Humphrey H.H. Kanhai and Gert Datema and has published in prestigious journals such as Nature, Blood and The Journal of Immunology.

In The Last Decade

Henk E. Viëtor

24 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henk E. Viëtor Netherlands 10 272 97 64 63 53 25 442
Broxmeyer He United States 12 135 0.5× 161 1.7× 59 0.9× 96 1.5× 21 0.4× 29 355
Anja U. van Lent Netherlands 9 178 0.7× 51 0.5× 83 1.3× 63 1.0× 18 0.3× 9 314
Jan Hülsdünker Germany 7 259 1.0× 156 1.6× 61 1.0× 104 1.7× 13 0.2× 8 409
Lee S. Rayfield United Kingdom 9 237 0.9× 59 0.6× 39 0.6× 56 0.9× 20 0.4× 18 358
B. A. Bradley United Kingdom 11 207 0.8× 159 1.6× 38 0.6× 41 0.7× 14 0.3× 17 351
Jonathan J. Hubbard United States 7 165 0.6× 49 0.5× 44 0.7× 141 2.2× 13 0.2× 12 427
Debra J. Endean United States 9 81 0.3× 208 2.1× 118 1.8× 61 1.0× 19 0.4× 9 340
Osamu Tatsuzawa Japan 12 415 1.5× 117 1.2× 92 1.4× 142 2.3× 15 0.3× 21 618
Nadja Jung United States 6 357 1.3× 100 1.0× 110 1.7× 214 3.4× 8 0.2× 7 617
Çağman Tan Türkiye 12 167 0.6× 32 0.3× 54 0.8× 38 0.6× 11 0.2× 47 340

Countries citing papers authored by Henk E. Viëtor

Since Specialization
Citations

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

Fields of papers citing papers by Henk E. Viëtor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henk E. Viëtor. 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 Henk E. Viëtor. The network helps show where Henk E. Viëtor may publish in the future.

Co-authorship network of co-authors of Henk E. Viëtor

This figure shows the co-authorship network connecting the top 25 collaborators of Henk E. Viëtor. A scholar is included among the top collaborators of Henk E. Viëtor 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 Henk E. Viëtor. Henk E. Viëtor 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.
Velden, Lieke M. van der, Miranda van Amersfoort, Anneloes Mensinga, et al.. (2022). Small molecules to regulate the GH/IGF1 axis by inhibiting the growth hormone receptor synthesis. Frontiers in Endocrinology. 13. 926210–926210. 10 indexed citations
2.
Vliet, Martin H. van, Jaap Brand, Henk E. Viëtor, et al.. (2013). Detection of CEBPA Double Mutants in Acute Myeloid Leukemia Using a Custom Gene Expression Array. Genetic Testing and Molecular Biomarkers. 17(5). 395–400. 4 indexed citations
3.
Vliet, Martin H. van, Erik Simons, Lars Bullinger, et al.. (2013). Detection of Mutant NPM1 mRNA in Acute Myeloid Leukemia Using Custom Gene Expression Arrays. Genetic Testing and Molecular Biomarkers. 17(4). 295–300. 4 indexed citations
4.
Brand, Jaap, Martin H. van Vliet, Peter J.M. Valk, et al.. (2013). A standardized microarray assay for the independent gene expression markers in AML: EVI1 and BAALC. Experimental Hematology and Oncology. 2(1). 7–7. 7 indexed citations
5.
Elsen, Peter J. van den, et al.. (2001). Transcriptional control of MHC genes in fetal trophoblast cells. Journal of Reproductive Immunology. 52(1-2). 129–145. 28 indexed citations
6.
Steijlen, Peter M., Henk E. Viëtor, Maurice A. M. Van Steensel, & R Happle. (2000). Hypomelanosis of Ito: divergent results reflecting genetic heterogeneity.. European Journal of Dermatology. 9. 217–219. 1 indexed citations
7.
Viëtor, Henk E., et al.. (2000). Immunological tolerance in an HLA non-identical chimeric twin. Human Immunology. 61(3). 190–192. 19 indexed citations
8.
9.
Steijlen, Peter M., Henk E. Viëtor, Maurice A. M. Van Steensel, & R Happle. (2000). Sweat testing in hypomelanosis of Ito: divergent results reflecting genetic heterogeneity.. PubMed. 10(3). 217–9. 4 indexed citations
10.
Viëtor, Henk E., et al.. (2000). Survival of donor cells 25 years after intrauterine transfusion. Blood. 95(8). 2709–2714. 25 indexed citations
11.
Kaal, Suzanne E. J., F.H.J. van den Hoogen, E.M.G.J. de Jong, & Henk E. Viëtor. (1999). Systemic Sclerosis: New Insights in Autoimmunity. Proceedings of The Society for Experimental Biology and Medicine. 222(1). 1–8. 6 indexed citations
12.
Viëtor, Henk E.. (1998). Immunomodulation induced by intrauterine transfusions. European Journal of Obstetrics & Gynecology and Reproductive Biology. 78(1). 33–35. 4 indexed citations
13.
Viëtor, Henk E., et al.. (1997). Alterations in cord blood leukocyte subsets of patients with severe hemolytic disease after intrauterine transfusion therapy. The Journal of Pediatrics. 130(5). 718–724. 6 indexed citations
14.
Viëtor, Henk E., et al.. (1997). Intrauterine Transfusions Affect Fetal T-Cell Immunity. Blood. 90(6). 2492–2501. 4 indexed citations
15.
Kanhai, Humphrey H.H., et al.. (1996). Antenatal care in pregnancies at risk of alloimmune thrombocytopenia: report of 19 cases in 16 families. European Journal of Obstetrics & Gynecology and Reproductive Biology. 68(1-2). 67–73. 21 indexed citations
16.
Brand, Anneke, et al.. (1995). Antenatal care in alloimmune thrombocytopenia (NAITP): Report of 20 cases in 18 families. American Journal of Obstetrics and Gynecology. 172(1). 397–397. 1 indexed citations
17.
Viëtor, Henk E., H. H. H. Kanhai, & Anneke Brand. (1994). Induction of additional red cell alloantibodies after intrauterine transfusions. Transfusion. 34(11). 970–974. 28 indexed citations
18.
Viëtor, Henk E. & Frits Koning. (1990). γδ T-cell receptor repertoire in human peripheral blood and thymus. Immunogenetics. 31(5-6). 340–346. 17 indexed citations
19.
Verreck, Frank A. W., et al.. (1990). Specific recognition of staphylococcal enterotoxin A by human T cells bearing receptors with the Vγ9 region. Nature. 346(6284). 572–574. 154 indexed citations
20.
Sherr, David H., et al.. (1984). Hapten-specific T cell responses to 4-hydroxy-3-nitrophenyl acetyl. XIV. Carrier requirement for suppressor cell induction.. The Journal of Immunology. 133(5). 2417–2422. 3 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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