Laura Kasak

771 total citations
12 papers, 293 citations indexed

About

Laura Kasak is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Laura Kasak has authored 12 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Laura Kasak's work include Prenatal Screening and Diagnostics (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers) and Sexual Differentiation and Disorders (4 papers). Laura Kasak is often cited by papers focused on Prenatal Screening and Diagnostics (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers) and Sexual Differentiation and Disorders (4 papers). Laura Kasak collaborates with scholars based in Estonia, United States and Denmark. Laura Kasak's co-authors include Maris Laan, Kristiina Rull, Margus Punab, Liina Nagirnaja, Marina Grigorova, Lee B. Smith, Pille Vaas, Kenneth I. Aston, Filipa Carvalho and Siim Sõber and has published in prestigious journals such as Scientific Reports, The American Journal of Human Genetics and Clinical Endocrinology.

In The Last Decade

Laura Kasak

11 papers receiving 291 citations

Peers

Laura Kasak

GENET

MB

RM

PPCH

PHEOH

Denise Molina‐Gomes France

Céline Chalas Boissonnas France

Stacy Colaco India

Noémie Ranisavljevic France

Hey‐Joo Kang United States

Judy F.C. Chow Hong Kong

Bérangère Legois France

Liangwen Zhong China

Murthy Kanakavalli India

A Zhou-Cun China

Denise Molina‐Gomes France

Laura Kasak

162 ×1.0

GENET

101 ×0.7

MB

157 ×1.5

RM

130 ×1.4

PPCH

133 ×1.6

PHEOH

Citations per year, relative to Laura Kasak Laura Kasak (= 1×) peers Denise Molina‐Gomes

Countries citing papers authored by Laura Kasak

Since Specialization

Citations

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

Fields of papers citing papers by Laura Kasak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Kasak

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

All Works

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12 of 12 papers shown

1.

Kasak, Laura, et al.. (2025). Introduction to androgenetics: terminology, approaches, and impactful studies across 60 years. Andrology. 13(5). 986–998.

2.

Kasak, Laura, Olev Poolamets, Vladimir Vihljajev, et al.. (2023). Microdeletions and microduplications linked to severe congenital disorders in infertile men. Scientific Reports. 13(1). 574–574. 5 indexed citations

3.

Laan, Maris, Laura Kasak, & Margus Punab. (2021). Translational aspects of novel findings in genetics of male infertility—status quo 2021. British Medical Bulletin. 140(1). 5–22. 16 indexed citations

4.

Kasak, Laura, Kristiina Rull, Tao Yang, Dan M. Roden, & Maris Laan. (2021). Recurrent Pregnancy Loss and Concealed Long‐QT Syndrome. Journal of the American Heart Association. 10(17). e021236–e021236. 3 indexed citations

5.

Laan, Maris, et al.. (2021). Current knowledge on genetic variants shaping placental transcriptome and their link to gestational and postnatal health. Placenta. 116. 2–11. 8 indexed citations

6.

Laan, Maris, Laura Kasak, Marina Grigorova, et al.. (2020). NR5A1 c.991‐1G > C splice‐site variant causes familial 46,XY partial gonadal dysgenesis with incomplete penetrance. Clinical Endocrinology. 94(4). 656–666. 14 indexed citations

7.

Kasak, Laura & Maris Laan. (2020). Monogenic causes of non-obstructive azoospermia: challenges, established knowledge, limitations and perspectives. Human Genetics. 140(1). 135–154. 77 indexed citations

8.

Kasak, Laura, Margus Punab, Liina Nagirnaja, et al.. (2018). Bi-allelic Recessive Loss-of-Function Variants in FANCM Cause Non-obstructive Azoospermia. The American Journal of Human Genetics. 103(2). 200–212. 83 indexed citations

9.

Kasak, Laura, Kristiina Rull, Siim Sõber, & Maris Laan. (2017). Copy number variation profile in the placental and parental genomes of recurrent pregnancy loss families. Scientific Reports. 7(1). 24 indexed citations

10.

Kasak, Laura, et al.. (2015). Extensive load of somatic CNVs in the human placenta. Scientific Reports. 5(1). 8342–8342. 31 indexed citations

11.

Nagirnaja, Liina, Priit Palta, Laura Kasak, et al.. (2014). Structural Genomic Variation as Risk Factor for Idiopathic Recurrent Miscarriage. Human Mutation. 35(8). 972–982. 30 indexed citations

12.

Nagirnaja, Liina, Laura Kasak, Priit Palta, et al.. (2011). Role of DNA copy number variations in genetic predisposition to recurrent pregnancy loss. Journal of Reproductive Immunology. 90(2). 145–145. 2 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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