M. van Vliet

1.0k total citations
35 papers, 785 citations indexed

About

M. van Vliet is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, M. van Vliet has authored 35 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Pharmacology. Recurrent topics in M. van Vliet's work include Pharmacogenetics and Drug Metabolism (7 papers), Cancer-related Molecular Pathways (5 papers) and Multiple Myeloma Research and Treatments (4 papers). M. van Vliet is often cited by papers focused on Pharmacogenetics and Drug Metabolism (7 papers), Cancer-related Molecular Pathways (5 papers) and Multiple Myeloma Research and Treatments (4 papers). M. van Vliet collaborates with scholars based in Netherlands, United States and United Kingdom. M. van Vliet's co-authors include Arnold G. Vulto, Peter Devilee, Albert Hofman, Loes E. Visser, Ron H. N. van Schaik, Cornelia M. van Duijn, R.S. Cornelis, Marc J. van de Vijver, P. Meera Khan and Ron HN van Schaik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

M. van Vliet

33 papers receiving 757 citations

Peers

M. van Vliet

PHARM

ONCOL

GENET

Barbara A. Domin United States

Xiao-bo Zhong United States

Stephanie J. Webb United States

Gemma Monaghan United Kingdom

Woo‐Young Kim South Korea

Araba A. Adjei United States

Su Sien Ong United States

C. Ramana Bhasker United States

Joan Cao United States

C. L. Szumlanski United States

Barbara A. Domin United States

M. van Vliet

501 ×1.8

193 ×0.8

PHARM

201 ×1.0

ONCOL

87 ×0.5

GENET

113 ×1.2

Citations per year, relative to M. van Vliet M. van Vliet (= 1×) peers Barbara A. Domin

Countries citing papers authored by M. van Vliet

Since Specialization

Citations

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

Fields of papers citing papers by M. van Vliet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. van Vliet. 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 M. van Vliet. The network helps show where M. van Vliet may publish in the future.

Co-authorship network of co-authors of M. van Vliet

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

All Works

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20 of 20 papers shown

Ng, J., M. van Vliet, Jaie Woodard, et al.. (2025). Polyglutamine expansion induced dynamic misfolding of androgen receptor. Protein Science. 34(6). e70154–e70154. 1 indexed citations

Vliet, M. van, et al.. (2024). A systematic review on the effect of identity-related interventions on physical activity and smoking. European Journal of Public Health. 34(Supplement_3). 1 indexed citations

Vliet, M. van, et al.. (2023). In situ detection of product age and argon concentration as measure of the re-use potential of insulating glass units in buildings. Glass Structures & Engineering. 8(2). 211–233. 5 indexed citations

Ronner, Eelko, et al.. (2023). Validation of a novel cuffless photoplethysmography-based wristband for measuring blood pressure according to the regulatory standard. European Heart Journal. 44(Supplement_2).

Wijnen, Mark, et al.. (2021). The effects of antidiabetic agents on heart failure. Netherlands Heart Journal. 30(2). 65–75. 7 indexed citations

Hari, Parameswaran, Suzanne Lentzsch, David S. Siegel, et al.. (2019). Prospective study to measure the impact of MMprofiler on treatment intention in newly diagnosed multiple myeloma patients (PROMMIS).. Journal of Clinical Oncology. 37(15_suppl). 8030–8030. 2 indexed citations

Vliet, M. van. (2013). Mali (Vol 9, 2012). 1 indexed citations

Schenk, Paul W., M. van Vliet, Ron A. A. Mathôt, et al.. (2009). The CYP2C19*17 genotype is associated with lower imipramine plasma concentrations in a large group of depressed patients. The Pharmacogenomics Journal. 10(3). 219–225. 38 indexed citations

Schenk, Paul W., Ron A. A. Mathôt, Teun van Gelder, et al.. (2007). Association of graded allele-specific changes in CYP2D6 function with imipramine dose requirement in a large group of depressed patients. Molecular Psychiatry. 13(6). 597–605. 37 indexed citations

10.

Hollander, Jan G. den, Bronno van der Holt, Bart Rijnders, et al.. (2007). Hepatotoxicity of oral and intravenous voriconazole in relation to cytochrome P450 polymorphisms. Journal of Antimicrobial Chemotherapy. 60(5). 1104–1107. 67 indexed citations

11.

Foijer, Floris, Marieke Simonis, M. van Vliet, et al.. (2007). Oncogenic pathways impinging on the G2-restriction point. Oncogene. 27(8). 1142–1154. 7 indexed citations

12.

Visser, Loes E., Ron van Schaik, M. van Vliet, et al.. (2004). The risk of bleeding complications in patients with cytochrome P450 CYP2C9*2 or CYP2C9*3 alleles on acenocoumarol or phenprocoumon. Thrombosis and Haemostasis. 92(7). 61–66. 72 indexed citations

13.

Visser, Loes E., M. van Vliet, Ron HN van Schaik, et al.. (2003). The risk of overanticoagulation in patients with cytochrome P450 CYP2C9*2 or CYP2C9*3 alleles on acenocoumarol or phenprocoumon. Pharmacogenetics. 14(1). 27–33. 79 indexed citations

14.

Schaik, RHN van, Ilse P. van der Heiden, Alberta A. H. J. Thiadens, et al.. (2003). CYP3A4, CYP3A5 and MDR‐1 Variant Alleles in The Dutch Caucasian Population. Clinical Pharmacology & Therapeutics. 73(2). 15 indexed citations

15.

Stec, Ingrid, M. van Vliet, Ronald van Eijk, et al.. (2001). A partial BRCA1 sequence homology mapping to 4q28. Cytogenetic and Genome Research. 94(1-2). 26–29. 2 indexed citations

16.

Peelen, Tamara, Hans Morreau, Ronald van Eijk, et al.. (2000). Genetic analysis of a breast-ovarian cancer family, with 7 cases of colorectal cancer linked toBRCA1, fails to support a role forBRCA1 in colorectal tumorigenesis. International Journal of Cancer. 88(5). 778–782. 10 indexed citations

17.

Peelen, Tamara, M. van Vliet, Anne Marie Bosch, et al.. (2000). Screening for BRCA2 mutations in 81 Dutch breast–ovarian cancer families. British Journal of Cancer. 82(1). 151–156. 40 indexed citations

18.

Cornelis, R.S., M. van Vliet, Marc J. van de Vijver, et al.. (1997). Three germline mutations in theTP53 gene. Human Mutation. 9(2). 157–163. 18 indexed citations

19.

Devilee, Peter, M. van Vliet, Kathleen R. Cho, & Bert Vogelstein. (1991). HindIIIpolymorphism in the DCC gene. Nucleic Acids Research. 19(24). 6965–6965. 2 indexed citations

20.

Smit, Vincent T.H.B.M., J.W. Wessels, P. Mollevanger, et al.. (1991). Improved interpretation of complex chromosomal rearrangements by combined GTG banding and in situ suppression hybridization using chromosome‐specific libraries and cosmid probes. Genes Chromosomes and Cancer. 3(4). 239–248. 29 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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