Katrin Männik

3.8k total citations
9 papers, 222 citations indexed

About

Katrin Männik is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Katrin Männik has authored 9 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Katrin Männik's work include Genomic variations and chromosomal abnormalities (9 papers), Genomics and Rare Diseases (4 papers) and Chromosomal and Genetic Variations (3 papers). Katrin Männik is often cited by papers focused on Genomic variations and chromosomal abnormalities (9 papers), Genomics and Rare Diseases (4 papers) and Chromosomal and Genetic Variations (3 papers). Katrin Männik collaborates with scholars based in Estonia, Cyprus and Switzerland. Katrin Männik's co-authors include Ants Kurg, Alexandre Reymond, Eugenia Migliavacca, Anne Maillard, Philippe Conus, Fabrizio Pizzagalli, J. Beckmann, Sébastien Jacquemont, Philippe Maeder and Ferath Kherif and has published in prestigious journals such as Nature Protocols, Molecular Psychiatry and European Journal of Human Genetics.

In The Last Decade

Katrin Männik

9 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katrin Männik Estonia 7 163 124 41 25 25 9 222
Emilie Landais France 10 177 1.1× 117 0.9× 40 1.0× 26 1.0× 26 1.0× 15 253
Syed K. Rafi United States 8 137 0.8× 107 0.9× 52 1.3× 25 1.0× 19 0.8× 14 264
Amber Boys Australia 7 154 0.9× 143 1.2× 41 1.0× 35 1.4× 17 0.7× 10 281
Naila Cristina Vilaça Lourenço Brazil 9 129 0.8× 125 1.0× 46 1.1× 28 1.1× 14 0.6× 16 214
Lucia Grillo Italy 8 118 0.7× 103 0.8× 31 0.8× 20 0.8× 13 0.5× 11 185
Jin Szatkiewicz United States 11 220 1.3× 125 1.0× 40 1.0× 22 0.9× 29 1.2× 30 321
Carmen Esmer Mexico 5 157 1.0× 116 0.9× 46 1.1× 33 1.3× 17 0.7× 16 225
M. C. E. Jansweijer Netherlands 5 213 1.3× 113 0.9× 41 1.0× 75 3.0× 23 0.9× 7 344
Vera Beyer Germany 9 168 1.0× 181 1.5× 61 1.5× 27 1.1× 24 1.0× 15 318
Dima El‐Khechen United States 8 208 1.3× 125 1.0× 49 1.2× 26 1.0× 11 0.4× 10 294

Countries citing papers authored by Katrin Männik

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Männik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katrin Männik

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

All Works

9 of 9 papers shown
1.
Leitsalu, Liis, Helene Alavere, Sébastien Jacquemont, et al.. (2016). Reporting incidental findings of genomic disorder-associated copy number variants to unselected biobank participants. Personalized Medicine. 13(4). 303–314. 8 indexed citations
2.
Vlčková, Markéta, Miroslava Hančárová, Monika Koudová, et al.. (2014). Monozygotic Twins with 17q21.31 Microdeletion Syndrome. Twin Research and Human Genetics. 17(5). 405–410. 3 indexed citations
3.
Maillard, Anne, Anne Ruef, Fabrizio Pizzagalli, et al.. (2014). The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity. Molecular Psychiatry. 20(1). 140–147. 134 indexed citations
4.
Hančárová, Miroslava, et al.. (2013). A patient with de novo 0.45 Mb deletion of 2p16.1: The role of BCL11A, PAPOLG, REL, and FLJ16341 in the 2p15‐p16.1 microdeletion syndrome. American Journal of Medical Genetics Part A. 161(4). 865–870. 32 indexed citations
5.
Preikšaitienė, Eglė, Katrin Männik, Algirdas Utkus, et al.. (2012). A novel de novo 1.8 Mb microdeletion of 17q21.33 associated with intellectual disability and dysmorphic features. European Journal of Medical Genetics. 55(11). 656–659. 11 indexed citations
6.
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
7.
Männik, Katrin, Carolina Sismani, Olga Žilina, et al.. (2008). Array-MAPH: a methodology for the detection of locus copy-number changes in complex genomes. Nature Protocols. 3(5). 849–865. 7 indexed citations
8.
Patsalis, Philippos C., Katrin Männik, Carolina Sismani, et al.. (2006). Detection of small genomic imbalances using microarray-based multiplex amplifiable probe hybridization. European Journal of Human Genetics. 15(2). 162–172. 9 indexed citations
9.
Patsalis, Philippos C., et al.. (2005). MAPH: from gels to microarrays. European Journal of Medical Genetics. 48(3). 241–249. 12 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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