D.A. Aitken

2.4k total citations
65 papers, 1.7k citations indexed

About

D.A. Aitken is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Molecular Biology. According to data from OpenAlex, D.A. Aitken has authored 65 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pediatrics, Perinatology and Child Health, 16 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in D.A. Aitken's work include Prenatal Screening and Diagnostics (29 papers), Pregnancy and preeclampsia studies (10 papers) and Genomic variations and chromosomal abnormalities (10 papers). D.A. Aitken is often cited by papers focused on Prenatal Screening and Diagnostics (29 papers), Pregnancy and preeclampsia studies (10 papers) and Genomic variations and chromosomal abnormalities (10 papers). D.A. Aitken collaborates with scholars based in United Kingdom, Hungary and Canada. D.A. Aitken's co-authors include Jennifer A. Crossley, M.A. Ferguson‐Smith, J. M. Connor, Kevin Spencer, Thenmalar Vadiveloo, Deborah Shipton, James Chalmers, David Tappin, W. Robert Lee and J. de Grouchy and has published in prestigious journals such as The Lancet, Nucleic Acids Research and British Journal of Ophthalmology.

In The Last Decade

D.A. Aitken

64 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.A. Aitken United Kingdom 24 802 332 323 283 253 65 1.7k
CH Rodeck United Kingdom 27 1.0k 1.3× 349 1.1× 246 0.8× 317 1.1× 376 1.5× 82 2.0k
Edward M. Kloza United States 20 1.8k 2.3× 694 2.1× 354 1.1× 441 1.6× 189 0.7× 33 2.2k
Karin J. Blakemore United States 28 1.3k 1.6× 259 0.8× 299 0.9× 565 2.0× 718 2.8× 162 2.7k
Valérie Désilets Canada 22 998 1.2× 103 0.3× 391 1.2× 451 1.6× 306 1.2× 56 2.0k
Aubrey Milunsky United States 28 1.2k 1.5× 75 0.2× 449 1.4× 482 1.7× 571 2.3× 94 2.6k
Banu Aygün United States 29 644 0.8× 151 0.5× 320 1.0× 131 0.5× 143 0.6× 114 2.8k
Lauren Lynch United States 25 1.4k 1.8× 243 0.7× 97 0.3× 326 1.2× 303 1.2× 41 2.1k
Philip Wyatt Canada 22 1.4k 1.8× 185 0.6× 156 0.5× 354 1.3× 475 1.9× 61 2.3k
Sylvie Langlois Canada 22 1.3k 1.7× 172 0.5× 261 0.8× 272 1.0× 312 1.2× 63 2.1k
Neeta L. Vora United States 23 1.4k 1.7× 245 0.7× 500 1.5× 773 2.7× 180 0.7× 87 2.0k

Countries citing papers authored by D.A. Aitken

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Aitken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.A. Aitken. 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 D.A. Aitken. The network helps show where D.A. Aitken may publish in the future.

Co-authorship network of co-authors of D.A. Aitken

This figure shows the co-authorship network connecting the top 25 collaborators of D.A. Aitken. A scholar is included among the top collaborators of D.A. Aitken 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 D.A. Aitken. D.A. Aitken 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.
Wright, D., Ian Bradbury, Fergal D. Malone, et al.. (2010). Cross-trimester repeated measures testing for Down’s syndrome screening: an assessment. Health Technology Assessment. 14(33). 67 indexed citations
2.
Shipton, Deborah, David Tappin, Thenmalar Vadiveloo, et al.. (2009). Reliability of self reported smoking status by pregnant women for estimating smoking prevalence: a retrospective, cross sectional study. BMJ. 339(oct29 1). b4347–b4347. 285 indexed citations
3.
Newby, Deborah, Gillian L. Dalgliesh, D.A. Aitken, & Fiona Lyall. (2006). Effect of Cryopreservation on Human Cytotrophoblast Cells in Culture: hCG and PALP Production. Placenta. 28(4). 350–352. 4 indexed citations
4.
Stenhouse, Emily, et al.. (2004). First‐trimester combined ultrasound and biochemical screening for Down syndrome in routine clinical practice. Prenatal Diagnosis. 24(10). 774–780. 40 indexed citations
5.
Spencer, Kevin & D.A. Aitken. (2004). Factors affecting women's preference for type of prenatal screening test for chromosomal anomalies. Ultrasound in Obstetrics and Gynecology. 24(7). 735–739. 38 indexed citations
6.
7.
Dalgliesh, Gillian L., D.A. Aitken, Fiona Lyall, Alan G. Howatson, & J. M. Connor. (2001). Placental and Maternal Serum Inhibin-A and Activin-A Levels in Down's Syndrome Pregnancies. Placenta. 22(2-3). 227–234. 19 indexed citations
8.
Newby, Deborah, D.A. Aitken, Alan G. Howatson, & J. M. Connor. (2000). Placental Synthesis of Oestriol in Down's Syndrome Pregnancies. Placenta. 21(2-3). 263–267. 26 indexed citations
9.
Spencer, Kevin, Françoise Müller, & D.A. Aitken. (1997). Amniotic Fluid and Maternal Serum Levels of CA125 in Pregnancies affected by Down Syndrome: a Re-evaluation of the Role of CA125 in Down Syndrome Screening. Prenatal Diagnosis. 17(8). 701–706. 6 indexed citations
10.
Aitken, D.A., et al.. (1997). Factors Affecting Women's Knowledge of Antenatal Serum Screening. Scottish Medical Journal. 42(4). 111–113. 18 indexed citations
11.
Spencer, Kevin, D.A. Aitken, Jennifer A. Crossley, et al.. (1994). First Trimester Biochemical Screening for Trisomy 21: The Role of Free Beta hCG, Alpha Fetoprotein and Pregnancy Associated Plasma Protein A. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 31(5). 447–454. 58 indexed citations
12.
13.
Glass, Ian A., et al.. (1989). Interstitial deletion of the long arm of chromosome 2 with normal levels of isocitrate dehydrogenase.. Journal of Medical Genetics. 26(2). 127–130. 37 indexed citations
14.
Aitken, D.A., et al.. (1989). Amniotic fluid alpha‐fetoprotein, gamma‐glutamyltranspeptidase, and autosomal trisomies. Prenatal Diagnosis. 9(8). 559–568. 3 indexed citations
15.
Cooke, Alexander, Elizabeth F. Gillard, John R.W. Yates, et al.. (1988). X Chromosome deletions detectable by flow cytometry in some patients with steroid sulphatase deficiency (X-linked ichthyosis). Human Genetics. 79(1). 49–52. 22 indexed citations
16.
Yates, John R.W., David Goudie, Elizabeth F. Gillard, et al.. (1987). Multipoint linkage analysis of steroid sulfatase (X-linked ichthyosis) and distal Xp markers. Genomics. 1(1). 52–59. 21 indexed citations
17.
Jamieson, Andrew R., Elizabeth E. Mackinlay, D.A. Aitken, A. R. Cooke, & M.A. Ferguson‐Smith. (1985). Quantitative variation in cystic fibrosis-associated proteins in cystic fibrosis patients, carriers, and controls. Human Genetics. 70(2). 168–171. 3 indexed citations
18.
Aitken, D.A., et al.. (1984). Predictive value of amniotic acetylcholinesterase analysis in the diagnosis of fetal abnormality in 3700 pregnancies. Prenatal Diagnosis. 4(5). 329–340. 20 indexed citations
19.
Ferguson‐Smith, M.A. & D.A. Aitken. (1978). Heterozygosity at the α-haptoglobin locus associated with a deletion, 16q22→16qter. Cytogenetic and Genome Research. 22(1-6). 513–513. 7 indexed citations
20.
Aitken, D.A., et al.. (1970). Allergic reaction to quinestrol.. BMJ. 2(5702). 177.1–177. 1 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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