Merel van Maarle

691 total citations
11 papers, 431 citations indexed

About

Merel van Maarle is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Infectious Diseases. According to data from OpenAlex, Merel van Maarle has authored 11 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 5 papers in Genetics and 3 papers in Infectious Diseases. Recurrent topics in Merel van Maarle's work include Prenatal Screening and Diagnostics (7 papers), Fetal and Pediatric Neurological Disorders (4 papers) and Parvovirus B19 Infection Studies (3 papers). Merel van Maarle is often cited by papers focused on Prenatal Screening and Diagnostics (7 papers), Fetal and Pediatric Neurological Disorders (4 papers) and Parvovirus B19 Infection Studies (3 papers). Merel van Maarle collaborates with scholars based in Netherlands, United Kingdom and United States. Merel van Maarle's co-authors include C. M. Bilardo, Eva Pajkrt, Yvonne van Pareren, David A. Aitken, Jennifer A. Crossley, J. M. Connor, Nigel P. Groome, James N. Macri, Euan M. Wallace and I. A. Swanston and has published in prestigious journals such as New England Journal of Medicine, American Journal of Epidemiology and Reproductive BioMedicine Online.

In The Last Decade

Merel van Maarle

11 papers receiving 416 citations

Peers

Merel van Maarle

PPCH

SURGE

GENET

MB

ID

Graham McLennan United States

Hagit Shani Israel

Silvana Canini Italy

Hagai Kaneti Israel

W W Cleveland United States

J. Sabrià Spain

Kyung Ran Jun South Korea

Maria Lúcia de Martino Lee Brazil

Pil Ryang Lee South Korea

Mariella Mailáth‐Pokorny Austria

Graham McLennan United States

Merel van Maarle

380 ×1.5

PPCH

46 ×0.4

SURGE

173 ×1.8

GENET

114 ×1.2

MB

130 ×1.6

ID

Citations per year, relative to Merel van Maarle Merel van Maarle (= 1×) peers Graham McLennan

Countries citing papers authored by Merel van Maarle

Since Specialization

Citations

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

Fields of papers citing papers by Merel van Maarle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merel van Maarle

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

All Works

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11 of 11 papers shown

1.

Dijk, Marie van, Gijs Afink, Jiska Jebbink, et al.. (2022). Tricky TRIC: A replication study using trophoblast retrieval and isolation from the cervix to study genetic birth defects. Prenatal Diagnosis. 42(13). 1612–1621. 3 indexed citations

2.

Maarle, Merel van, et al.. (2020). Cytogenetic testing of pregnancy loss tissue: a meta-analysis. Reproductive BioMedicine Online. 40(6). 867–879. 23 indexed citations

3.

Bouman, Arjan, et al.. (2017). Oral‐facial‐digital syndrome type 1 in males: Congenital heart defects are included in its phenotypic spectrum. American Journal of Medical Genetics Part A. 173(5). 1383–1389. 10 indexed citations

4.

Dijk, Tessa van, Fred van Ruissen, Bregje Jaeger, et al.. (2016). RARS2 Mutations: Is Pontocerebellar Hypoplasia Type 6 a Mitochondrial Encephalopathy?. JIMD Reports. 33. 87–92. 13 indexed citations

5.

Maarle, Merel van, et al.. (2016). Maternal Plasma DNA and RNA Sequencing for Prenatal Testing. Advances in clinical chemistry. 74. 63–102. 18 indexed citations

6.

Schendel, Rachèl V. van, Caterina M. Bilardo, Eva Pajkrt, et al.. (2015). Changing to NIPT as a first-tier screening test and future perspectives: opinions of health professionals. Prenatal Diagnosis. 35(13). 1316–1323. 28 indexed citations

7.

Athanasakis, Emmanouil, Sophie Dahoun, Ambroise Wonkam, et al.. (2013). Complex rearrangement of the exon 6 genomic region among Opitz G/BBB Syndrome MID1 alterations. European Journal of Medical Genetics. 56(8). 404–410. 7 indexed citations

8.

Bilardo, C. M., et al.. (2010). Increased nuchal translucency in euploid fetuses—what should we be telling the parents?. Prenatal Diagnosis. 30(2). 93–102. 73 indexed citations

9.

Sagoo, Gurdeep S., Iain Tatt, Georgia Salanti, et al.. (2008). Seven Lipoprotein Lipase Gene Polymorphisms, Lipid Fractions, and Coronary Disease: A HuGE Association Review and Meta-Analysis. American Journal of Epidemiology. 168(11). 1233–1246. 88 indexed citations

10.

David, Anna L., Clare Turnbull, R. K. Scott, et al.. (2007). Diagnosis of Apert syndrome in the second‐trimester using 2D and 3D ultrasound. Prenatal Diagnosis. 27(7). 629–632. 28 indexed citations

11.

Aitken, David A., Euan M. Wallace, Jennifer A. Crossley, et al.. (1996). Dimeric Inhibin A as a Marker for Down's Syndrome in Early Pregnancy. New England Journal of Medicine. 334(19). 1231–1236. 140 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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