Lauris Kaplinski

1.2k total citations · 1 hit paper
26 papers, 751 citations indexed

About

Lauris Kaplinski is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Lauris Kaplinski has authored 26 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Lauris Kaplinski's work include Genomics and Phylogenetic Studies (13 papers), Molecular Biology Techniques and Applications (8 papers) and RNA and protein synthesis mechanisms (7 papers). Lauris Kaplinski is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Molecular Biology Techniques and Applications (8 papers) and RNA and protein synthesis mechanisms (7 papers). Lauris Kaplinski collaborates with scholars based in Estonia, Finland and United States. Lauris Kaplinski's co-authors include Maido Remm, Reidar Andreson, Maarja Lepamets, Triinu Kõressaar, Tarmo Puurand, Ants Kurg, Ott Scheler, Barry Glynn, Thomas Barry and Frédérique Lisacek and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Lauris Kaplinski

25 papers receiving 745 citations

Hit Papers

Primer3_masker: integrati... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauris Kaplinski Estonia 13 451 165 135 74 57 26 751
Hengyun Lu China 4 368 0.8× 87 0.5× 153 1.1× 105 1.4× 95 1.7× 5 634
Zebin Zhang China 15 280 0.6× 228 1.4× 47 0.3× 38 0.5× 18 0.3× 37 650
Sheng‐Quan Xu China 15 799 1.8× 172 1.0× 155 1.1× 180 2.4× 330 5.8× 73 1.2k
I-Tung Chen Taiwan 13 263 0.6× 33 0.2× 53 0.4× 150 2.0× 24 0.4× 13 1.3k
Slobodanka Radović Italy 14 615 1.4× 427 2.6× 759 5.6× 36 0.5× 42 0.7× 30 1.3k
Ricardo S. Vieira-Pires Portugal 8 466 1.0× 62 0.4× 62 0.5× 23 0.3× 16 0.3× 10 735
Theresa L. Giesler United States 7 848 1.9× 196 1.2× 183 1.4× 271 3.7× 162 2.8× 9 1.2k
Akbar S. Khan United States 16 477 1.1× 148 0.9× 54 0.4× 117 1.6× 66 1.2× 40 834
Ariel Méchaly France 15 671 1.5× 314 1.9× 68 0.5× 143 1.9× 35 0.6× 41 989
Hao‐Ching Wang Taiwan 21 600 1.3× 124 0.8× 134 1.0× 228 3.1× 46 0.8× 46 1.6k

Countries citing papers authored by Lauris Kaplinski

Since Specialization
Citations

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

Fields of papers citing papers by Lauris Kaplinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauris Kaplinski

This figure shows the co-authorship network connecting the top 25 collaborators of Lauris Kaplinski. A scholar is included among the top collaborators of Lauris Kaplinski 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 Lauris Kaplinski. Lauris Kaplinski 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.
Puurand, Tarmo, Märt Möls, Lauris Kaplinski, et al.. (2025). Y-mer: a k-mer based method for determining human Y chromosome haplogroups from ultra-low sequencing depth data. Genome biology. 26(1). 243–243.
2.
Kaplinski, Lauris, Märt Möls, Tarmo Puurand, & Maido Remm. (2023). DOCEST—fast and accurate estimator of human NGS sequencing depth and error rate. Bioinformatics Advances. 3(1). vbad084–vbad084. 1 indexed citations
3.
Kaplinski, Lauris, et al.. (2021). KATK: Fast genotyping of rare variants directly from unmapped sequencing reads. Human Mutation. 42(6). 777–786. 2 indexed citations
4.
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
5.
Kõressaar, Triinu, et al.. (2018). Primer3_masker: integrating masking of template sequence with primer design software. Bioinformatics. 34(11). 1937–1938. 328 indexed citations breakdown →
6.
Kaplinski, Lauris, et al.. (2017). FastGT: an alignment-free method for calling common SNVs directly from raw sequencing reads. Scientific Reports. 7(1). 2537–2537. 26 indexed citations
7.
Kaplinski, Lauris, et al.. (2016). A novel hypothesis for histone-to-protamine transition in Bos taurus spermatozoa. Reproduction. 153(3). 241–251. 26 indexed citations
8.
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
9.
Kaplinski, Lauris & Maido Remm. (2015). MultiPLX: Automatic Grouping and Evaluation of PCR Primers. Methods in molecular biology. 127–142. 5 indexed citations
10.
Kaplinski, Lauris, Maarja Lepamets, & Maido Remm. (2015). GenomeTester4: a toolkit for performing basic set operations - union, intersection and complement on k-mer lists. GigaScience. 4(1). 33 indexed citations
11.
Koua, Dominique, Lauris Kaplinski, Reto Stöcklin, et al.. (2013). Position-specific scoring matrix and hidden Markov model complement each other for the prediction of conopeptide superfamilies. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(4). 717–724. 14 indexed citations
12.
Koua, Dominique, Age Brauer, Lauris Kaplinski, et al.. (2012). ConoDictor: a tool for prediction of conopeptide superfamilies. Nucleic Acids Research. 40(W1). W238–W241. 28 indexed citations
13.
Scheler, Ott, Lauris Kaplinski, Barry Glynn, et al.. (2011). Detection of NASBA amplified bacterial tmRNA molecules on SLICSel designed microarray probes. BMC Biotechnology. 11(1). 17–17. 11 indexed citations
14.
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
15.
Scheler, Ott, Barry Glynn, Sven Parkel, et al.. (2009). Fluorescent labeling of NASBA amplified tmRNA molecules for microarray applications. BMC Biotechnology. 9(1). 45–45. 9 indexed citations
16.
17.
Andreson, Reidar, Lauris Kaplinski, & Maido Remm. (2007). Fast Masking of Repeated Primer Binding Sites in Eukaryotic Genomes. Methods in molecular biology. 1275. 201–217. 3 indexed citations
18.
Kaplinski, Lauris & Maido Remm. (2007). MultiPLX. Methods in molecular biology. 1275. 287–303. 7 indexed citations
19.
Andreson, Reidar, et al.. (2006). GENOMEMASKER package for designing unique genomic PCR primers. BMC Bioinformatics. 7(1). 172–172. 32 indexed citations
20.
Kaplinski, Lauris, Reidar Andreson, Tarmo Puurand, & Maido Remm. (2004). MultiPLX: automatic grouping and evaluation of PCR primers. Computer applications in the biosciences. 21(8). 1701–1702. 55 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026