Margit Nõukas

1.5k total citations
16 papers, 216 citations indexed

About

Margit Nõukas is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Margit Nõukas has authored 16 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Margit Nõukas's work include Genomics and Rare Diseases (7 papers), Genomic variations and chromosomal abnormalities (4 papers) and Metabolism and Genetic Disorders (3 papers). Margit Nõukas is often cited by papers focused on Genomics and Rare Diseases (7 papers), Genomic variations and chromosomal abnormalities (4 papers) and Metabolism and Genetic Disorders (3 papers). Margit Nõukas collaborates with scholars based in Estonia, Finland and Germany. Margit Nõukas's co-authors include Mart Kals, Andres Metspalu, Katrin Õunap, Tiia Reimand, Ants Kurg, Olga Žilina, Tiit Nikopensius, Andres Salumets, Mari Nelis and Andres Piirsoo and has published in prestigious journals such as Gene, Human Reproduction and Cancers.

In The Last Decade

Margit Nõukas

15 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margit Nõukas Estonia 9 111 104 39 31 31 16 216
Dimitar N. Azmanov Australia 12 122 1.1× 191 1.8× 41 1.1× 75 2.4× 26 0.8× 23 336
Anne Rochtus Belgium 10 217 2.0× 189 1.8× 98 2.5× 21 0.7× 27 0.9× 26 379
Enrico Alfei Italy 11 160 1.4× 140 1.3× 35 0.9× 22 0.7× 39 1.3× 25 333
Els Voorhoeve Netherlands 9 68 0.6× 146 1.4× 15 0.4× 30 1.0× 14 0.5× 12 257
Nicolas Chatron France 10 123 1.1× 129 1.2× 27 0.7× 37 1.2× 11 0.4× 44 263
A. Saad Tunisia 9 130 1.2× 97 0.9× 15 0.4× 12 0.4× 5 0.2× 24 255
Soumaya Mougou-Zerelli Tunisia 8 164 1.5× 108 1.0× 19 0.5× 9 0.3× 6 0.2× 23 337
Laima Ambrozaitytė Lithuania 10 205 1.8× 145 1.4× 9 0.2× 6 0.2× 14 0.5× 38 313
Benjamin Kamien Australia 9 128 1.2× 124 1.2× 11 0.3× 12 0.4× 10 0.3× 19 228
Allison Matthews Canada 10 128 1.2× 165 1.6× 18 0.5× 16 0.5× 33 1.1× 14 254

Countries citing papers authored by Margit Nõukas

Since Specialization
Citations

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

Fields of papers citing papers by Margit Nõukas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margit Nõukas. 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 Margit Nõukas. The network helps show where Margit Nõukas may publish in the future.

Co-authorship network of co-authors of Margit Nõukas

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

All Works

16 of 16 papers shown
1.
Reigo, Anu, Tarmo Annilo, Toomas Toomsoo, et al.. (2024). Use of Estonian Biobank data and participant recall to improve Wilson’s disease management. European Journal of Human Genetics. 33(11). 1499–1508.
2.
Tõnisson, Neeme, Margit Nõukas, Sander Pajusalu, et al.. (2023). The Prevalence and Molecular Landscape of Lynch Syndrome in the Affected and General Population. Cancers. 15(14). 3663–3663. 3 indexed citations
3.
Irmejs, Arvīds, Margit Nõukas, Mart Kals, et al.. (2022). Spectrum and frequency of CHEK2 variants in breast cancer affected and general population in the Baltic states region, initial results and literature review. European Journal of Medical Genetics. 65(5). 104477–104477. 5 indexed citations
4.
Lepamets, Maarja, Chiara Auwerx, Margit Nõukas, et al.. (2022). Omics-informed CNV calls reduce false-positive rates and improve power for CNV-trait associations. Human Genetics and Genomics Advances. 3(4). 100133–100133. 5 indexed citations
5.
Reigo, Anu, Margit Nõukas, Liis Leitsalu, et al.. (2022). Do Biobank Recall Studies Matter? Long-Term Follow-Up of Research Participants With Familial Hypercholesterolemia. Frontiers in Genetics. 13. 936131–936131. 2 indexed citations
6.
Reinson, Karit, Réka Kovács-Nagy, Eve Õiglane‐Shlik, et al.. (2018). Diverse phenotype in patients with complex I deficiency due to mutations in NDUFB11. European Journal of Medical Genetics. 62(11). 103572–103572. 23 indexed citations
7.
Tšuiko, Olga, Margit Nõukas, Olga Žilina, et al.. (2016). Copy number variation analysis detects novel candidate genes involved in follicular growth and oocyte maturation in a cohort of premature ovarian failure cases. Human Reproduction. 31(8). 1913–1925. 41 indexed citations
8.
Nõukas, Margit, et al.. (2016). C14orf132 gene is possibly related to extremely low birth weight. BMC Genetics. 17(1). 132–132. 4 indexed citations
9.
Leitsalu, Liis, Helene Alavere, Sébastien Jacquemont, et al.. (2016). Reporting incidental findings of genomic disorder-associated copy number variants to unselected biobank participants. Personalized Medicine. 13(4). 303–314. 8 indexed citations
10.
Pajusalu, Sander, Inga Talvik, Tiina Talvik, et al.. (2015). De novo exonic mutation in MYH7 gene leading to exon skipping in a patient with early onset muscular weakness and fiber-type disproportion. Neuromuscular Disorders. 26(3). 236–239. 8 indexed citations
11.
Maasalu, Katre, Tiit Nikopensius, Sulev Kõks, et al.. (2015). Whole-exome sequencing identifies de novo mutation in the COL1A1 gene to underlie the severe osteogenesis imperfecta. Human Genomics. 9(1). 6–6. 10 indexed citations
12.
Graziano, Claudio, Anita Wischmeijer, Tommaso Pippucci, et al.. (2015). Syndromic intellectual disability: A new phenotype caused by an aromatic amino acid decarboxylase gene (DDC) variant. Gene. 559(2). 144–148. 22 indexed citations
13.
Pajusalu, Sander, et al.. (2015). The Diagnostic Utility of Single Long Contiguous Stretches of Homozygosity in Patients without Parental Consanguinity. Molecular Syndromology. 6(3). 135–140. 12 indexed citations
14.
Vals, Mari‐Anne, Eve Õiglane‐Shlik, Margit Nõukas, et al.. (2014). Coffin–Siris Syndrome with obesity, macrocephaly, hepatomegaly and hyperinsulinism caused by a mutation in the ARID1B gene. European Journal of Human Genetics. 22(11). 1327–1329. 15 indexed citations
15.
Vaher, Ulvi, Margit Nõukas, Tiit Nikopensius, et al.. (2013). De NovoSCN8A Mutation Identified by Whole-Exome Sequencing in a Boy With Neonatal Epileptic Encephalopathy, Multiple Congenital Anomalies, and Movement Disorders. Journal of Child Neurology. 29(12). NP202–NP206. 52 indexed citations
16.
Männik, Katrin, Sven Parkel, Priit Palta, et al.. (2010). A parallel SNP array study of genomic aberrations associated with mental retardation in patients and general population in Estonia. European Journal of Medical Genetics. 54(2). 136–143. 6 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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