Idit Maya

1.5k total citations
60 papers, 826 citations indexed

About

Idit Maya is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Molecular Biology. According to data from OpenAlex, Idit Maya has authored 60 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pediatrics, Perinatology and Child Health, 34 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Idit Maya's work include Prenatal Screening and Diagnostics (40 papers), Genomic variations and chromosomal abnormalities (30 papers) and Fetal and Pediatric Neurological Disorders (19 papers). Idit Maya is often cited by papers focused on Prenatal Screening and Diagnostics (40 papers), Genomic variations and chromosomal abnormalities (30 papers) and Fetal and Pediatric Neurological Disorders (19 papers). Idit Maya collaborates with scholars based in Israel, United States and United Kingdom. Idit Maya's co-authors include Lena Sagi‐Dain, Sarit Kahana, Lina Basel‐Vanagaite, Mordechai Shohat, Amihood Singer, Tamar Tenne, Josepha Yeshaya, Shiri Yacobson, Reuven Sharony and Lina Basel‐Salmon and has published in prestigious journals such as Human Molecular Genetics, American Journal of Obstetrics and Gynecology and Obstetrics and Gynecology.

In The Last Decade

Idit Maya

51 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Idit Maya Israel 16 489 371 258 145 122 60 826
Fang Fu China 15 387 0.8× 286 0.8× 263 1.0× 95 0.7× 95 0.8× 53 633
Robert Saura France 19 445 0.9× 318 0.9× 163 0.6× 190 1.3× 31 0.3× 50 868
Maribel Grande Spain 16 476 1.0× 173 0.5× 270 1.0× 131 0.9× 60 0.5× 33 826
Malgorzata I. Srebniak Netherlands 21 902 1.8× 665 1.8× 238 0.9× 162 1.1× 50 0.4× 72 1.2k
Melissa Maisenbacher United States 17 331 0.7× 401 1.1× 511 2.0× 147 1.0× 121 1.0× 33 1.0k
Anna Cereda Italy 17 195 0.4× 372 1.0× 478 1.9× 123 0.8× 57 0.5× 41 836
Paul Brady Belgium 18 402 0.8× 316 0.9× 234 0.9× 368 2.5× 60 0.5× 27 967
Emilia K. Bijlsma Netherlands 11 209 0.4× 186 0.5× 109 0.4× 87 0.6× 47 0.4× 19 457
Tizhen Yan China 13 181 0.4× 115 0.3× 271 1.1× 66 0.5× 37 0.3× 54 605
Alida C. Knegt Netherlands 14 232 0.5× 257 0.7× 271 1.1× 71 0.5× 47 0.4× 35 652

Countries citing papers authored by Idit Maya

Since Specialization
Citations

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

Fields of papers citing papers by Idit Maya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Idit Maya

This figure shows the co-authorship network connecting the top 25 collaborators of Idit Maya. A scholar is included among the top collaborators of Idit Maya 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 Idit Maya. Idit Maya 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.
Maya, Idit, et al.. (2025). Is There an Alternative “Advanced Maternal Age” Threshold for Recommendation of Invasive Prenatal Testing?. Journal of Obstetrics and Gynaecology Canada. 47(5). 102821–102821.
2.
Sagi‐Dain, Lena, et al.. (2025). Genetics first approach: Expanding the utility of genetic testing by nongeneticist physicians. Genetics in Medicine. 27(10). 101530–101530.
3.
Michaelson‐Cohen, Rachel, Yuval Yaron, Adi Reches, et al.. (2024). Exploring the factors affecting classification and reporting of uncertain prenatal microarray findings, using a “virtual fetus” model‐a pilot study. Prenatal Diagnosis. 44(4). 511–518. 1 indexed citations
4.
Levy, Michal, Lily Bazak, Uri Hamiel, et al.. (2024). Exome sequencing in every pregnancy? Results of trio exome sequencing in structurally normal fetuses. Prenatal Diagnosis. 45(3). 276–286. 12 indexed citations
5.
Maya, Idit, et al.. (2024). Regions of Homozygocity size patterns among diverse ethnic groups in Israel: Toward tailored diagnostic reporting thresholds. American Journal of Medical Genetics Part A. 194(12). e63839–e63839.
6.
Sagi‐Dain, Lena, et al.. (2024). Exploring the human genomic landscape: patterns of common homozygosity regions in a large middle eastern cohort. Human Molecular Genetics. 33(21). 1908–1915.
7.
8.
Levy, Michal, et al.. (2023). Proximal 1q21 duplication: A syndrome or a susceptibility locus?. American Journal of Medical Genetics Part A. 191(10). 2551–2557.
9.
Sagi‐Dain, Lena, et al.. (2023). Prevalence of high-penetrant copy number variants in 7734 low-risk pregnancies. American Journal of Obstetrics & Gynecology MFM. 5(12). 101201–101201.
10.
Sagi‐Dain, Lena, et al.. (2022). Chromosomal Microarray Analysis Compared With Noninvasive Prenatal Testing in Pregnancies With Abnormal Maternal Serum Screening. Obstetrics and Gynecology. 139(5). 877–887. 3 indexed citations
11.
Maya, Idit, et al.. (2021). Residual risk for clinically significant copy number variants in low-risk pregnancies, following exclusion of noninvasive prenatal screening–detectable findings. American Journal of Obstetrics and Gynecology. 226(4). 562.e1–562.e8. 15 indexed citations
12.
Sagi‐Dain, Lena, Sarit Kahana, Shiri Yacobson, et al.. (2020). Chromosomal Microarray vs. NIPS: Analysis of 5541 Low-Risk Pregnancies. Obstetrical & Gynecological Survey. 75(4). 222–224. 1 indexed citations
13.
Maya, Idit, Sarit Kahana, Mordechai Shohat, et al.. (2020). Based on a cohort of 52,879 microarrays, recurrent intragenic FBN2 deletion encompassing exons 1–8 does not cause Beals syndrome. European Journal of Medical Genetics. 63(10). 104008–104008. 4 indexed citations
14.
Maya, Idit, Pola Smirin‐Yosef, Sarit Kahana, et al.. (2020). A study of normal copy number variations in Israeli population. Human Genetics. 140(3). 553–563.
15.
Singer, Amihood, Idit Maya, Ehud Banne, et al.. (2020). Prenatal clubfoot increases the risk for clinically significant chromosomal microarray results – Analysis of 269 singleton pregnancies. Early Human Development. 145. 105047–105047. 12 indexed citations
16.
Singer, Amihood, Idit Maya, Lena Sagi‐Dain, et al.. (2020). Chromosomal microarray should be performed for cases of fetal short long bones detected prenatally. Archives of Gynecology and Obstetrics. 303(1). 85–92. 5 indexed citations
17.
Sagi‐Dain, Lena, Sarit Kahana, Shiri Yacobson, et al.. (2019). Chromosomal microarray vs. NIPS: analysis of 5541 low-risk pregnancies. Genetics in Medicine. 21(11). 2462–2467. 53 indexed citations
18.
Reches, Adi, Karin Weiss, Lily Bazak, Hagit Baris Feldman, & Idit Maya. (2019). From phenotyping to genotyping - bioinformatics for the busy clinician. European Journal of Medical Genetics. 62(8). 103689–103689. 2 indexed citations
19.
Maya, Idit, Amihood Singer, Hagit Baris, et al.. (2018). Prenatal microarray analysis in right aortic arch—a retrospective cohort study and review of the literature. Journal of Perinatology. 38(5). 468–473. 14 indexed citations
20.
Sagi‐Dain, Lena, Idit Maya, Tzipora C. Falik‐Zaccai, et al.. (2018). Isolated fetal horseshoe kidney does not seem to increase the risk for abnormal chromosomal microarray results. European Journal of Obstetrics & Gynecology and Reproductive Biology. 222. 80–83. 7 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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