Priit Palta

18.1k total citations · 1 hit paper
43 papers, 951 citations indexed

About

Priit Palta is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Priit Palta has authored 43 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 16 papers in Molecular Biology and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Priit Palta's work include Genomic variations and chromosomal abnormalities (10 papers), Prenatal Screening and Diagnostics (8 papers) and Genetic Associations and Epidemiology (7 papers). Priit Palta is often cited by papers focused on Genomic variations and chromosomal abnormalities (10 papers), Prenatal Screening and Diagnostics (8 papers) and Genetic Associations and Epidemiology (7 papers). Priit Palta collaborates with scholars based in Estonia, Finland and United States. Priit Palta's co-authors include Aarno Palotie, Samuli Ripatti, Veikko Salomaa, Mark J. Daly, Pietari Ripatti, Aki S. Havulinna, Nina Mars, Tuomo Kiiskinen, Andres Metspalu and Tōnu Esko and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Priit Palta

37 papers receiving 939 citations

Hit Papers

Polygenic and clinical risk scores and their impact on ag... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priit Palta Estonia 16 438 381 98 97 94 43 951
Weihua Zhang China 17 262 0.6× 677 1.8× 109 1.1× 76 0.8× 63 0.7× 55 1.1k
Longda Jiang Australia 9 467 1.1× 286 0.8× 82 0.8× 52 0.5× 27 0.3× 15 883
Peter VandeHaar United States 8 526 1.2× 328 0.9× 76 0.8× 78 0.8× 23 0.2× 9 937
P. Saccucci Italy 14 231 0.5× 271 0.7× 45 0.5× 169 1.7× 54 0.6× 65 670
Nigel W. Rayner United Kingdom 15 594 1.4× 419 1.1× 96 1.0× 59 0.6× 38 0.4× 25 1.0k
Maruša Debeljak Slovenia 15 173 0.4× 396 1.0× 58 0.6× 128 1.3× 155 1.6× 84 870
Sandra Imholz Netherlands 18 162 0.4× 230 0.6× 60 0.6× 53 0.5× 78 0.8× 35 683
Vasiliki Lagou United Kingdom 13 245 0.6× 239 0.6× 59 0.6× 180 1.9× 34 0.4× 25 728
Hoi Kin Wong Hong Kong 15 146 0.3× 433 1.1× 230 2.3× 63 0.6× 120 1.3× 19 847
Jonathon LeFaive United States 8 462 1.1× 283 0.7× 54 0.6× 75 0.8× 22 0.2× 10 793

Countries citing papers authored by Priit Palta

Since Specialization
Citations

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

Fields of papers citing papers by Priit Palta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priit Palta

This figure shows the co-authorship network connecting the top 25 collaborators of Priit Palta. A scholar is included among the top collaborators of Priit Palta 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 Priit Palta. Priit Palta 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.
Salminen, Aino, Kati Hyvärinen, Jarmo Ritari, et al.. (2025). Genome-wide association study of pulpal and apical diseases. Nature Communications. 16(1). 6774–6774. 2 indexed citations
3.
Vaht, Mariliis, Anu Realo, Jüri Allïk, et al.. (2025). Cohort Profiles: Personality Measurements at the Estonian Biobank of the Estonian Genome Center, University of Tartu. Edinburgh Research Explorer. 6.
4.
Lessard, Samuel, Michael J. Chao, Kadri Reis, et al.. (2024). Leveraging large-scale multi-omics evidences to identify therapeutic targets from genome-wide association studies. BMC Genomics. 25(1). 1111–1111. 4 indexed citations
5.
Saare, Merli, Riikka K. Arffman, Terhi Piltonen, et al.. (2023). Targeted gene expression profiling for accurate endometrial receptivity testing. Scientific Reports. 13(1). 13959–13959. 17 indexed citations
6.
Koel, Mariann, Urmo Võsa, Kristi Läll, et al.. (2023). GWAS meta-analyses clarify the genetics of cervical phenotypes and inform risk stratification for cervical cancer. Human Molecular Genetics. 32(12). 2103–2116. 10 indexed citations
7.
Kaivola, Karri, Anna Raunio, Mia Kero, et al.. (2021). Primary age‐related tauopathy in a Finnish population‐based study of the oldest old (Vantaa 85+). Neuropathology and Applied Neurobiology. 48(3). e12788–e12788. 15 indexed citations
8.
Ardeshirdavani, Amin, et al.. (2021). Systematic evaluation of NIPT aneuploidy detection software tools with clinically validated NIPT samples. PLoS Computational Biology. 17(12). e1009684–e1009684. 5 indexed citations
9.
Ripatti, Pietari, Joel Rämö, Nina Mars, et al.. (2020). Polygenic Hyperlipidemias and Coronary Artery Disease Risk. UTUPub (University of Turku). 55 indexed citations
10.
Hassan, Shabbeer, Ida Surakka, Marja‐Riitta Taskinen, et al.. (2020). High-resolution population-specific recombination rates and their effect on phasing and genotype imputation. European Journal of Human Genetics. 29(4). 615–624. 15 indexed citations
11.
Rekker, Kadri, et al.. (2019). Computational framework for targeted high-coverage sequencing based NIPT. PLoS ONE. 14(7). e0209139–e0209139. 10 indexed citations
12.
Koel, Mariann, Tatjana Jatsenko, Kadri Rekker, et al.. (2018). TAC-seq: targeted DNA and RNA sequencing for precise biomarker molecule counting. npj Genomic Medicine. 3(1). 34–34. 26 indexed citations
13.
Žilina, Olga, Ants Kurg, Maire Peters, et al.. (2018). NIPTmer: rapid k-mer-based software package for detection of fetal aneuploidies. Scientific Reports. 8(1). 5616–5616. 12 indexed citations
14.
Mitt, Mario, Mart Kals, Kalle Pärn, et al.. (2017). Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel. Nature. 20 indexed citations
15.
Winsvold, Bendik S., Priit Palta, Else Eising, et al.. (2017). Epigenetic DNA methylation changes associated with headache chronification: A retrospective case-control study. Cephalalgia. 38(2). 312–322. 34 indexed citations
16.
Palta, Priit, Lauris Kaplinski, Liina Nagirnaja, et al.. (2015). Haplotype Phasing and Inheritance of Copy Number Variants in Nuclear Families. PLoS ONE. 10(4). e0122713–e0122713. 7 indexed citations
17.
Kokocinski, Felix, Carol Scott, Priit Palta, et al.. (2011). The GENCODE exome: sequencing the complete human exome. European Journal of Human Genetics. 19(7). 827–831. 43 indexed citations
18.
Kaplinski, Lauris, Ott Scheler, Sven Parkel, et al.. (2010). Detection of tmRNA molecules on microarrays at low temperatures using helper oligonucleotides. BMC Biotechnology. 10(1). 34–34. 9 indexed citations
19.
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
20.
Parkel, Sven, Olga Žilina, Priit Palta, et al.. (2007). Screening of 20 patients with X-linked mental retardation using chromosome X-specific array-MAPH. European Journal of Medical Genetics. 50(6). 399–410. 5 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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