Otto Kauko

1.1k total citations
18 papers, 556 citations indexed

About

Otto Kauko is a scholar working on Molecular Biology, Spectroscopy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Otto Kauko has authored 18 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Otto Kauko's work include RNA modifications and cancer (5 papers), Advanced Proteomics Techniques and Applications (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Otto Kauko is often cited by papers focused on RNA modifications and cancer (5 papers), Advanced Proteomics Techniques and Applications (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Otto Kauko collaborates with scholars based in Finland, United States and Sweden. Otto Kauko's co-authors include Jukka Westermarck, Pekka Haapaniemi, Tero Aittokallio, Teemu D. Laajala, Karolina Pavic, Bhagwan Yadav, Evgeny Kulesskiy, Anna Aakula, Laxman Yetukuri and Krister Wennerberg and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Bioinformatics.

In The Last Decade

Otto Kauko

18 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Otto Kauko Finland 11 441 134 78 69 48 18 556
Cory L. Painter United States 10 278 0.6× 190 1.4× 70 0.9× 83 1.2× 28 0.6× 15 470
Brian W. Ji United States 5 465 1.1× 95 0.7× 293 3.8× 46 0.7× 26 0.5× 6 603
Antje Dittmann Switzerland 9 295 0.7× 80 0.6× 38 0.5× 31 0.4× 38 0.8× 23 466
Sake van Wageningen Netherlands 10 388 0.9× 66 0.5× 49 0.6× 21 0.3× 38 0.8× 11 455
Adriana Soto-Guzmán Mexico 9 223 0.5× 103 0.8× 162 2.1× 26 0.4× 39 0.8× 22 427
J.A. Rose United States 5 386 0.9× 84 0.6× 166 2.1× 114 1.7× 28 0.6× 6 519
Margie N. Sutton United States 13 309 0.7× 84 0.6× 106 1.4× 28 0.4× 64 1.3× 24 474
Mamoru Takada Japan 11 215 0.5× 105 0.8× 110 1.4× 64 0.9× 45 0.9× 26 393
Yang Tian China 12 331 0.8× 140 1.0× 138 1.8× 72 1.0× 31 0.6× 34 518
Poonam R. Molli United States 11 396 0.9× 196 1.5× 63 0.8× 31 0.4× 102 2.1× 13 533

Countries citing papers authored by Otto Kauko

Since Specialization
Citations

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

Fields of papers citing papers by Otto Kauko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Otto Kauko

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

All Works

18 of 18 papers shown
1.
Polari, Lauri, et al.. (2024). Improved breast milk proteome coverage by DIA based LC‐MS/MS method. PROTEOMICS. 24(14). e2300340–e2300340. 3 indexed citations
2.
Denisova, Oxana V., Laxman Yetukuri, Amanpreet Kaur, et al.. (2023). PP2A ‐based triple‐strike therapy overcomes mitochondrial apoptosis resistance in brain cancer cells. Molecular Oncology. 17(9). 1803–1820. 5 indexed citations
3.
Pihlajamaa, Päivi, Otto Kauko, Biswajyoti Sahu, Teemu Kivioja, & Jussi Taipale. (2022). A competitive precision CRISPR method to identify the fitness effects of transcription factor binding sites. Nature Biotechnology. 41(2). 197–203. 7 indexed citations
4.
Aakula, Anna, Aleksi Isomursu, Christian Rupp, et al.. (2022). PP2A methylesterase PME ‐1 suppresses anoikis and is associated with therapy relapse of PTEN ‐deficient prostate cancers. Molecular Oncology. 17(6). 1007–1023. 9 indexed citations
5.
Rokka, Anne, Pekka Haapaniemi, Masafumi Seki, et al.. (2022). Arginine Methyltransferase PRMT7 Deregulates Expression of RUNX1 Target Genes in T-Cell Acute Lymphoblastic Leukemia. Cancers. 14(9). 2169–2169. 9 indexed citations
6.
Kauko, Otto, Susumu Y. Imanishi, Evgeny Kulesskiy, et al.. (2020). Phosphoproteome and drug-response effects mediated by the three protein phosphatase 2A inhibitor proteins CIP2A, SET, and PME-1. Journal of Biological Chemistry. 295(13). 4194–4211. 45 indexed citations
7.
Löyttyniemi, Eliisa, Urpu Salmenniemi, Otto Kauko, et al.. (2019). Arpp19 Promotes Myc and Cip2a Expression and Associates with Patient Relapse in Acute Myeloid Leukemia. Cancers. 11(11). 1774–1774. 13 indexed citations
8.
Kauko, Otto & Jukka Westermarck. (2018). Non-genomic mechanisms of protein phosphatase 2A (PP2A) regulation in cancer. The International Journal of Biochemistry & Cell Biology. 96. 157–164. 79 indexed citations
9.
Kauko, Otto, Caitlin M. O’Connor, Evgeny Kulesskiy, et al.. (2018). PP2A inhibition is a druggable MEK inhibitor resistance mechanism in KRAS-mutant lung cancer cells. Science Translational Medicine. 10(450). 99 indexed citations
10.
Wang, Jiao, Juha Okkeri, Karolina Pavic, et al.. (2017). Oncoprotein CIP 2A is stabilized via interaction with tumor suppressor PP 2A/B56. EMBO Reports. 18(3). 437–450. 77 indexed citations
11.
Liu, Ying, Jaakko Mattila, Sami Ventelä, et al.. (2017). PWP1 Mediates Nutrient-Dependent Growth Control through Nucleolar Regulation of Ribosomal Gene Expression. Developmental Cell. 43(2). 240–252.e5. 24 indexed citations
12.
Kauko, Otto, Susumu Y. Imanishi, Evgeny Kulesskiy, et al.. (2017). Abstract 5560: Systemic map of protein phosphatase 2A (PP2A)-regulated phosphotargets and drug responses in cancer cells. Cancer Research. 77(13_Supplement). 5560–5560. 1 indexed citations
13.
Suomi, Tomi, et al.. (2017). Phosphonormalizer: an R package for normalization of MS-based label-free phosphoproteomics. Bioinformatics. 34(4). 693–694. 7 indexed citations
14.
Kauko, Otto, Teemu D. Laajala, Petteri Hintsanen, et al.. (2015). Label-free quantitative phosphoproteomics with novel pairwise abundance normalization reveals synergistic RAS and CIP2A signaling. Scientific Reports. 5(1). 13099–13099. 46 indexed citations
15.
Lilja, Hans, Angel M. Cronin, Otto Kauko, et al.. (2013). Association of transcript levels of 10 established or candidate-biomarker gene targets with cancerous versus non-cancerous prostate tissue from radical prostatectomy specimens. Clinical Biochemistry. 46(7-8). 670–674. 10 indexed citations
16.
Niemelä, Mika, Otto Kauko, Harri Sihto, et al.. (2012). CIP2A signature reveals the MYC dependency of CIP2A-regulated phenotypes and its clinical association with breast cancer subtypes. Oncogene. 31(39). 4266–4278. 63 indexed citations
17.
Hagrén, Virve, Piia von Lode, Teemu Korpimäki, et al.. (2008). An 8-hour system for Salmonella detection with immunomagnetic separation and homogeneous time-resolved fluorescence PCR. International Journal of Food Microbiology. 125(2). 158–161. 27 indexed citations
18.
Kauko, Otto, Siina Junnila, Ville Väisänen, et al.. (2007). Quantitative real-time RT-PCR assay for PCA3. Clinical Biochemistry. 41(1-2). 103–108. 32 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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