Saskia M. Maas

2.3k citations
32 papers · 1.0k indexed · h-index 17
Topics
Genetic Syndromes and Imprinting (10 papers)Epigenetics and DNA Methylation (8 papers)Prenatal Screening and Diagnostics (7 papers)

In The Last Decade

Saskia M. Maas

30 papers receiving 970 citations

Peers

Saskia M. Maas
Comparison fields: 5 of 87
  • Genetics 628
  • Molecular Biology 581
  • Pediatrics, Perinatology and Child Health 416
  • Surgery 109
  • Pathology and Forensic Medicine 66
Replace Yolande van Bever with:
Yolande van Bever Netherlands
L A Brueton United Kingdom
Fabiola Quintero‐Rivera United States
Stavit A. Shalev Israel
Andreas Dufke Germany
Emma Wakeling United Kingdom
Beate Albrecht Germany
Frédéric Brioude France
Jennifer M. Kalish United States
Eddie M.K. Chung United Kingdom
Saskia M. Maas relative to Yolande van Bever Netherlands Yolande van Bever's profile →
Citations per field
00.5×1.5×2.2×
Yolande van Bever · 1×
Citations per year

Countries citing papers authored by Saskia M. Maas

Since Specialization
Citations

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

Fields of papers citing papers by Saskia M. Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saskia M. Maas

This figure shows the co-authorship network connecting the top 25 collaborators of Saskia M. Maas. A scholar is included among the top collaborators of Saskia M. Maas 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 Saskia M. Maas. Saskia M. Maas 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
#WorkIndexed citations
1 1
2 0
3 6
4 3
5 2
6 1
7 8
8 2
9 32
10 18
11 25
12 124
13 29
14 81
15 51
16 151
17 138
18 7
19 36
20 16

About Saskia M. Maas

Saskia M. Maas is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Genetics, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (10 papers), Epigenetics and DNA Methylation (8 papers) and Prenatal Screening and Diagnostics (7 papers). The work is most often cited by research in Genetics (628 citations), Pediatrics, Perinatology and Child Health (416 citations) and Molecular Biology (581 citations). Saskia M. Maas has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Raoul C. M. Hennekam, Marcel M. A. M. Mannens, Jan P.W. Vermeiden, Jordan McDonnell, Jet Bliek, Eamonn R. Maher, D.J. Kadouch, E. Redeker, Sylvia Huisman and Fleur Vansenne. Their work appears in journals such as Remote Sensing of Environment, Scientific Reports and Clinical Cancer Research.

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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