Kristian Ovaska

1.5k total citations
18 papers, 1.1k citations indexed

About

Kristian Ovaska is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Kristian Ovaska has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Kristian Ovaska's work include Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (5 papers) and Glioma Diagnosis and Treatment (3 papers). Kristian Ovaska is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (5 papers) and Glioma Diagnosis and Treatment (3 papers). Kristian Ovaska collaborates with scholars based in Finland, Germany and United States. Kristian Ovaska's co-authors include Sampsa Hautaniemi, Marko Laakso, Biswajyoti Sahu, Olli A. Jänne, Jukka Westermarck, Jianmin Wu, Tomi P. Mäkelä, Tea Vallenius, Päivi Pihlajamaa and Tiina Vesterinen and has published in prestigious journals such as The EMBO Journal, Bioinformatics and PLoS ONE.

In The Last Decade

Kristian Ovaska

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristian Ovaska Finland 13 753 335 206 202 126 18 1.1k
Marko Laakso Finland 13 621 0.8× 318 0.9× 177 0.9× 191 0.9× 115 0.9× 20 924
Steven Kregel United States 14 616 0.8× 507 1.5× 156 0.8× 256 1.3× 254 2.0× 23 1.1k
Sarah Hawley United States 19 542 0.7× 444 1.3× 139 0.7× 328 1.6× 254 2.0× 29 1.3k
Alessandro Romanel Italy 17 926 1.2× 546 1.6× 217 1.1× 513 2.5× 243 1.9× 54 1.5k
Renjie Jin United States 12 398 0.5× 295 0.9× 89 0.4× 172 0.9× 130 1.0× 22 636
Yi Zhu China 22 609 0.8× 343 1.0× 234 1.1× 271 1.3× 125 1.0× 75 1.2k
Philip G. Febbo United States 8 644 0.9× 451 1.3× 76 0.4× 265 1.3× 215 1.7× 15 1.0k
Antonio Ramos‐Montoya United Kingdom 22 923 1.2× 417 1.2× 140 0.7× 428 2.1× 388 3.1× 38 1.4k
Marco Mina Switzerland 18 1.0k 1.4× 174 0.5× 97 0.5× 391 1.9× 315 2.5× 33 1.6k
Xia Han United States 6 745 1.0× 153 0.5× 72 0.3× 328 1.6× 455 3.6× 7 1.2k

Countries citing papers authored by Kristian Ovaska

Since Specialization
Citations

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

Fields of papers citing papers by Kristian Ovaska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristian Ovaska

This figure shows the co-authorship network connecting the top 25 collaborators of Kristian Ovaska. A scholar is included among the top collaborators of Kristian Ovaska 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 Kristian Ovaska. Kristian Ovaska 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.
Cervera, Alejandra, Ville Rantanen, Kristian Ovaska, et al.. (2019). Anduril 2: upgraded large-scale data integration framework. Bioinformatics. 35(19). 3815–3817. 17 indexed citations
2.
Donner, Iikki, Riku Katainen, Tomas Tanskanen, et al.. (2017). Candidate susceptibility variants for esophageal squamous cell carcinoma. Genes Chromosomes and Cancer. 56(6). 453–459. 20 indexed citations
3.
Ovaska, Kristian. (2015). Using Semantic Similarities and csbl.go for Analyzing Microarray Data. Methods in molecular biology. 1375. 105–116. 2 indexed citations
4.
Quintero, Ileana B., et al.. (2015). Transmembrane prostatic acid phosphatase (TMPAP) delays cells in G1 phase of the cell cycle. The Prostate. 76(2). 151–162. 5 indexed citations
5.
Maliniemi, Pilvi, Sonja Hahtola, Kristian Ovaska, et al.. (2014). Molecular characterization of subcutaneous panniculitis-like T-cell lymphoma reveals upregulation of immunosuppression- and autoimmunity-associated genes. Orphanet Journal of Rare Diseases. 9(1). 160–160. 13 indexed citations
6.
Quintero, Ileana B., Annakaisa M. Herrala, Anitta E. Pulkka, et al.. (2013). Transmembrane Prostatic Acid Phosphatase (TMPAP) Interacts with Snapin and Deficient Mice Develop Prostate Adenocarcinoma. PLoS ONE. 8(9). e73072–e73072. 29 indexed citations
7.
Louhimo, Riku, Viljami Aittomäki, Ali Faisal, et al.. (2013). Systematic use of computational methods allows stratification of treatment responders in glioblastoma multiforme. 1(2). 130–136. 1 indexed citations
8.
Ovaska, Kristian, Filomena Matarese, Korbinian Grote, et al.. (2013). Integrative Analysis of Deep Sequencing Data Identifies Estrogen Receptor Early Response Genes and Links ATAD3B to Poor Survival in Breast Cancer. PLoS Computational Biology. 9(6). e1003100–e1003100. 9 indexed citations
9.
Ovaska, Kristian, et al.. (2013). Genomic Region Operation Kit for Flexible Processing of Deep Sequencing Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(1). 200–206. 16 indexed citations
10.
Krohn, Kai, Kristian Ovaska, Valtteri Häyry, et al.. (2012). Neuron navigator 3 alterations in nervous system tumors associate with tumor malignancy grade and prognosis. Genes Chromosomes and Cancer. 52(2). 191–201. 20 indexed citations
11.
Sahu, Biswajyoti, Marko Laakso, Päivi Pihlajamaa, et al.. (2012). FoxA1 Specifies Unique Androgen and Glucocorticoid Receptor Binding Events in Prostate Cancer Cells. Cancer Research. 73(5). 1570–1580. 187 indexed citations
12.
Louhimo, Riku, Viljami Aittomäki, Ali Faisal, et al.. (2011). Systematic Use of Computational Methods Allows Stratifying Treatment Responders in Glioblastoma Multiforme.
13.
Maliniemi, Pilvi, Kristian Ovaska, Kirsi Niiranen, et al.. (2011). NAV3 copy number changes and target genes in basal and squamous cell cancers. Experimental Dermatology. 20(11). 926–931. 13 indexed citations
14.
Sahu, Biswajyoti, Marko Laakso, Kristian Ovaska, et al.. (2011). Dual role of FoxA1 in androgen receptor binding to chromatin, androgen signalling and prostate cancer. The EMBO Journal. 30(19). 3962–3976. 296 indexed citations
15.
Carlsson, Eva, Annamari Ranki, Leena Karenko, et al.. (2011). Potential role of a navigator gene NAV3 in colorectal cancer. British Journal of Cancer. 106(3). 517–524. 27 indexed citations
16.
Ovaska, Kristian, Marko Laakso, Saija Haapa-Paananen, et al.. (2010). Large-scale data integration framework provides a comprehensive view on glioblastoma multiforme. Genome Medicine. 2(9). 65–65. 137 indexed citations
17.
Ovaska, Kristian, Marko Laakso, & Sampsa Hautaniemi. (2008). Fast Gene Ontology based clustering for microarray experiments. BioData Mining. 1(1). 11–11. 74 indexed citations
18.
Wu, Jianmin, Tea Vallenius, Kristian Ovaska, et al.. (2008). Integrated network analysis platform for protein-protein interactions. Nature Methods. 6(1). 75–77. 243 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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