Maris Laan

13.9k total citations
108 papers, 3.3k citations indexed

About

Maris Laan is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Maris Laan has authored 108 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 45 papers in Genetics and 30 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Maris Laan's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (21 papers), Prenatal Screening and Diagnostics (19 papers) and Pregnancy and preeclampsia studies (18 papers). Maris Laan is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (21 papers), Prenatal Screening and Diagnostics (19 papers) and Pregnancy and preeclampsia studies (18 papers). Maris Laan collaborates with scholars based in Estonia, United States and Finland. Maris Laan's co-authors include Kristiina Rull, Svante Pääbo, Margus Punab, Marina Grigorova, Siim Sõber, Liina Nagirnaja, Laura Kasak, Olev Poolamets, Vladimir Vihljajev and Tarmo Annilo and has published in prestigious journals such as Nature Genetics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Maris Laan

107 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maris Laan Estonia 32 1.3k 1.2k 951 591 540 108 3.3k
Frank F. Bartol United States 34 530 0.4× 990 0.8× 682 0.7× 1.1k 1.8× 321 0.6× 98 3.6k
Jiude Mao United States 27 1.2k 0.9× 853 0.7× 481 0.5× 860 1.5× 410 0.8× 75 2.7k
Kanako Hayashi United States 32 983 0.8× 529 0.5× 931 1.0× 627 1.1× 145 0.3× 96 3.2k
Paul F. Terranova United States 39 1.1k 0.8× 644 0.6× 1.1k 1.2× 1.1k 1.9× 239 0.4× 124 4.2k
Hélène Jammes France 27 2.1k 1.7× 1.0k 0.9× 294 0.3× 476 0.8× 889 1.6× 78 3.3k
Susanne E. Ulbrich Germany 31 928 0.7× 929 0.8× 469 0.5× 1.1k 1.8× 206 0.4× 133 3.5k
Henry N. Jabbour United Kingdom 44 1.0k 0.8× 1.4k 1.2× 1.9k 2.0× 1.1k 1.9× 412 0.8× 117 5.6k
Rodney D. Geisert United States 37 780 0.6× 1.3k 1.1× 379 0.4× 1.1k 1.8× 165 0.3× 92 3.6k
Thomas E. Curry United States 36 924 0.7× 769 0.7× 1.4k 1.5× 1.3k 2.2× 145 0.3× 135 4.1k
R. K. Christenson United States 38 593 0.5× 1.4k 1.2× 434 0.5× 641 1.1× 286 0.5× 154 4.0k

Countries citing papers authored by Maris Laan

Since Specialization
Citations

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

Fields of papers citing papers by Maris Laan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maris Laan

This figure shows the co-authorship network connecting the top 25 collaborators of Maris Laan. A scholar is included among the top collaborators of Maris Laan 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 Maris Laan. Maris Laan 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.
2.
Dutta, Avirup, et al.. (2025). Significantly increased load of hereditary cancer-linked germline variants in infertile men. Human Reproduction Open. 2025(2). hoaf008–hoaf008. 2 indexed citations
3.
Khan, Muhammad Riaz, Thomas J. Nicholas, Muhammad Ajmal, et al.. (2023). Genome sequencing of Pakistani families with male infertility identifies deleterious genotypes in SPAG6, CCDC9, TKTL1, TUBA3C, and M1AP. Andrology. 13(5). 1093–1104. 10 indexed citations
4.
5.
Houston, Brendan J., Alexandra M. Lopes, Maris Laan, et al.. (2022). DDB1- and CUL4-associated factor 12-like protein 1 (Dcaf12l1) is not essential for male fertility in mice. Developmental Biology. 490. 66–72. 4 indexed citations
6.
Laugesaar, Rael, Kristiina Rull, Tuuli Metsvaht, et al.. (2022). Maternal Pyelonephritis as a Potential Cause of Perinatal Periventricular Venous Infarction in Term-Born Children. Journal of Child Neurology. 37(8-9). 677–688. 5 indexed citations
7.
Hallast, Pille, Margus Punab, Elena Arciero, et al.. (2021). A common 1.6 mb Y-chromosomal inversion predisposes to subsequent deletions and severe spermatogenic failure in humans. eLife. 10. 15 indexed citations
8.
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
9.
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
10.
Laan, Maris, et al.. (2020). The decline of FANCM immunohistochemical expression in prostate cancer stroma correlates with the grade group. Pathology International. 70(8). 542–550. 3 indexed citations
11.
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
12.
Rull, Kristiina, et al.. (2020). C-allele of rs4769613 Near FLT1 Represents a High-Confidence Placental Risk Factor for Preeclampsia. Hypertension. 76(3). 884–891. 22 indexed citations
13.
Rull, Kristiina, et al.. (2020). Single-Tube Multimarker Assay for Estimating the Risk to Develop Preeclampsia. The Journal of Applied Laboratory Medicine. 5(6). 1156–1171. 3 indexed citations
14.
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
15.
16.
Tüttelmann, Frank, et al.. (2012). FSHB promotor polymorphism influences male reproductive parameters. 15th International & 14th European Congress of Endocrinology. 29. 5 indexed citations
17.
Hallast, Pille, Janna Saarela, Aarno Palotie, & Maris Laan. (2008). High divergence in primate-specific duplicated regions: Human and chimpanzee Chorionic Gonadotropin Betagenes. BMC Evolutionary Biology. 8(1). 195–195. 19 indexed citations
18.
Minozzi, Giulietta, H.K. Parmentier, Bertrand Bed’Hom, et al.. (2008). Delayed-type Hypersensitivity Response to KLH in F<sub>2</sub> and Backcrosses of Two Immune Selected Chicken Lines: Effect of Immunisation and Selection. PubMed. 132. 267–270. 1 indexed citations
19.
Rull, Kristiina, Pille Hallast, James G. Jackson, et al.. (2007). Fine-scale quantification of HCG beta gene transcription in human trophoblastic and non-malignant non-trophoblastic tissues. Molecular Human Reproduction. 14(1). 23–31. 30 indexed citations
20.
Halila, R, Maris Laan, Mika Saksela, et al.. (1995). The human gene for xanthine dehydrogenase (XDH) is localized on chromosome band 2p22. Cytogenetic and Genome Research. 68(1-2). 61–63. 19 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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