Lagle Kasak

730 total citations
15 papers, 565 citations indexed

About

Lagle Kasak is a scholar working on Molecular Biology, Genetics and Pollution. According to data from OpenAlex, Lagle Kasak has authored 15 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Pollution. Recurrent topics in Lagle Kasak's work include Microbial Metabolic Engineering and Bioproduction (5 papers), Hedgehog Signaling Pathway Studies (5 papers) and Bacterial Genetics and Biotechnology (4 papers). Lagle Kasak is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), Hedgehog Signaling Pathway Studies (5 papers) and Bacterial Genetics and Biotechnology (4 papers). Lagle Kasak collaborates with scholars based in Estonia, Finland and Sweden. Lagle Kasak's co-authors include Maia Kivisaar, Allan Nurk, Rita Hõrak, Priit Kogerman, Andres Tover, Ain Heinaru, Marko Piirsoo, Andres Valkna, Lauri Peil and Torben Østerlund and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Lagle Kasak

14 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lagle Kasak Estonia 11 378 271 161 95 51 15 565
J Schäfer Germany 3 274 0.7× 95 0.4× 25 0.2× 64 0.7× 29 0.6× 5 461
Chaoyou Xue United States 19 906 2.4× 167 0.6× 94 0.6× 51 0.5× 35 0.7× 30 1.0k
P. Grippo Italy 12 619 1.6× 172 0.6× 16 0.1× 102 1.1× 34 0.7× 30 831
Elizabeth A. Auger United States 10 457 1.2× 257 0.9× 27 0.2× 113 1.2× 51 1.0× 12 682
Alan M. Easton United States 11 503 1.3× 320 1.2× 14 0.1× 105 1.1× 47 0.9× 13 769
Lesley A. H. Bowman United Kingdom 8 174 0.5× 81 0.3× 21 0.1× 45 0.5× 47 0.9× 9 337
Joop M. L. M. van Helvoort Netherlands 7 137 0.4× 108 0.4× 55 0.3× 75 0.8× 6 0.1× 7 338
Ana Clara Guerrini Schenberg Brazil 13 329 0.9× 86 0.3× 20 0.1× 25 0.3× 16 0.3× 26 499
Anthony Burgess‐Cassler United States 14 336 0.9× 81 0.3× 34 0.2× 44 0.5× 54 1.1× 22 572
Dipak Dutta India 10 586 1.6× 363 1.3× 22 0.1× 132 1.4× 21 0.4× 20 724

Countries citing papers authored by Lagle Kasak

Since Specialization
Citations

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

Fields of papers citing papers by Lagle Kasak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lagle Kasak

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

All Works

15 of 15 papers shown
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Kasak, Lagle, et al.. (2018). Characterization of Protein Kinase ULK3 Regulation by Phosphorylation and Inhibition by Small Molecule SU6668. Biochemistry. 57(37). 5456–5465. 6 indexed citations
3.
Kasak, Lagle, et al.. (2014). Protein kinase inhibitor SU6668 attenuates positive regulation of Gli proteins in cancer and multipotent progenitor cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(4). 703–714. 12 indexed citations
4.
Kasak, Lagle, et al.. (2011). Soluble CD44 Interacts with Intermediate Filament Protein Vimentin on Endothelial Cell Surface. PLoS ONE. 6(12). e29305–e29305. 59 indexed citations
5.
Piirsoo, Marko, et al.. (2010). Dual Function of UNC-51-like Kinase 3 (Ulk3) in the Sonic Hedgehog Signaling Pathway. Journal of Biological Chemistry. 285(39). 30079–30090. 42 indexed citations
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Bragina, Olga, Lagle Kasak, Salme Timmusk, et al.. (2007). Generation and Characterization of Mouse Monoclonal Antibody 5E1 Against Human Transcription Factor GLI3. Hybridoma. 26(4). 231–240. 5 indexed citations
8.
Trummal, Katrin, Külli Tõnismägi, Ene Siigur, et al.. (2005). A novel metalloprotease from Vipera lebetina venom induces human endothelial cell apoptosis. Toxicon. 46(1). 46–61. 65 indexed citations
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Kasak, Lagle, Rita Hõrak, & Maia Kivisaar. (1997). Promoter-creating mutations in Pseudomonas putida : A model system for the study of mutation in starving bacteria. Proceedings of the National Academy of Sciences. 94(7). 3134–3139. 79 indexed citations
12.
Kasak, Lagle, et al.. (1993). Regulation of the catechol 1,2-dioxygenase- and phenol monooxygenase-encoding pheBA operon in Pseudomonas putida PaW85. Journal of Bacteriology. 175(24). 8038–8042. 49 indexed citations
13.
Nurk, Allan, Lagle Kasak, & Maia Kivisaar. (1991). Sequence of the gene (pheA) encoding phenol monooxygenase from Pseudomonas sp. EST1001: expression in Escherichia coli and Pseudomonas putida. Gene. 102(1). 13–18. 83 indexed citations
14.
Kivisaar, Maia, Lagle Kasak, & Allan Nurk. (1991). Sequence of the plasmid-encoded catechol 1,2-dioxygenase-expressing gene, pheB, of phenol-degrading Pseudomonas sp. strain EST1001. Gene. 98(1). 15–20. 51 indexed citations
15.

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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