Petri Pehkonen

1.2k total citations
19 papers, 958 citations indexed

About

Petri Pehkonen is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, Petri Pehkonen has authored 19 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Dermatology. Recurrent topics in Petri Pehkonen's work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (6 papers) and Machine Learning in Bioinformatics (3 papers). Petri Pehkonen is often cited by papers focused on Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (6 papers) and Machine Learning in Bioinformatics (3 papers). Petri Pehkonen collaborates with scholars based in Finland, United States and Russia. Petri Pehkonen's co-authors include Carsten Carlberg, Sami Heikkinen, Miia M. Rytinki, Jorma J. Palvimo, Sabine Seuter, Tiina Jääskeläinen, Sanna Kaikkonen, Heikki Koskinen, Hannu Mölsä and Caird E. Rexroad and has published in prestigious journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and Cellular and Molecular Life Sciences.

In The Last Decade

Petri Pehkonen

18 papers receiving 932 citations

Peers

Petri Pehkonen

IMMUN

PFM

GENET

ONCOL

Walburga Croteau United States

Frances E. Carr United States

S. Pauliina Turunen Finland

Xiongfei Wu China

Takao Mori Japan

Manabu Matsuda Japan

Monika Andersson‐Lendahl Sweden

Shun Sawatsubashi Japan

Xi Qian United States

Håvard Aanes Norway

Walburga Croteau United States

Petri Pehkonen

516 ×1.0

177 ×0.7

IMMUN

25 ×0.1

PFM

187 ×1.2

GENET

196 ×1.4

ONCOL

Citations per year, relative to Petri Pehkonen Petri Pehkonen (= 1×) peers Walburga Croteau

Countries citing papers authored by Petri Pehkonen

Since Specialization

Citations

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

Fields of papers citing papers by Petri Pehkonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petri Pehkonen

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Dunlop, Thomas W., Petri Pehkonen, Geneviève Bart, et al.. (2015). The organic osmolyte betaine induces keratin 2 expression in rat epidermal keratinocytes — A genome-wide study in UVB irradiated organotypic 3D cultures. Toxicology in Vitro. 30(1). 462–475. 6 indexed citations

Storvik, Markus, Pasi Huuskonen, Petri Pehkonen, & Markku Pasanen. (2014). The unique characteristics of the placental transcriptome and the hormonal metabolism enzymes in placenta. Reproductive Toxicology. 47. 9–14. 16 indexed citations

Bart, Geneviève, Thomas W. Dunlop, Petri Pehkonen, et al.. (2014). rClca2is associated with epidermal differentiation and is strongly downregulated by ultraviolet radiation. British Journal of Dermatology. 171(2). 376–387. 12 indexed citations

Seuter, Sabine, Petri Pehkonen, Sami Heikkinen, & Carsten Carlberg. (2013). Dynamics of 1α,25-dihydroxyvitamin D3-dependent chromatin accessibility of early vitamin D receptor target genes. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1829(12). 1266–1275. 53 indexed citations

Seuter, Sabine, Petri Pehkonen, Sami Heikkinen, & Carsten Carlberg. (2012). The gene for the transcription factor BHLHE40/DEC1/stra13 is a dynamically regulated primary target of the vitamin D receptor. The Journal of Steroid Biochemistry and Molecular Biology. 136. 62–67. 17 indexed citations

Pehkonen, Petri, Anke Wienecke-Baldacchino, Sami Heikkinen, et al.. (2012). Genome-wide landscape of liver X receptor chromatin binding and gene regulation in human macrophages. BMC Genomics. 13(1). 50–50. 62 indexed citations

Kurki, Mitja, Jussi Paananen, Markus Storvik, et al.. (2011). TAFFEL: Independent Enrichment Analysis of gene sets. BMC Bioinformatics. 12(1). 171–171. 1 indexed citations

Heikkinen, Sami, Sami Vaïsänen, Petri Pehkonen, et al.. (2011). Nuclear hormone 1α,25-dihydroxyvitamin D3 elicits a genome-wide shift in the locations of VDR chromatin occupancy. Nucleic Acids Research. 39(21). 9181–9193. 182 indexed citations

Rytinki, Miia M., Merja Lakso, Petri Pehkonen, et al.. (2011). Overexpression of SUMO perturbs the growth and development of Caenorhabditis elegans. Cellular and Molecular Life Sciences. 68(19). 3219–3232. 16 indexed citations

10.

Pehkonen, Petri, et al.. (2009). Construction and use of gene expression covariation matrix. BMC Bioinformatics. 10(1). 214–214.

11.

Pehkonen, Petri, Garry Wong, & Petri Törönen. (2009). Heuristic Bayesian Segmentation for Discovery of Coexpressed Genes within Genomic Regions. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(1). 37–49. 1 indexed citations

12.

Törönen, Petri, Petri Pehkonen, & Liisa Holm. (2009). Generation of Gene Ontology benchmark datasets with various types of positive signal. BMC Bioinformatics. 10(1). 319–319. 4 indexed citations

13.

Rytinki, Miia M., Sanna Kaikkonen, Petri Pehkonen, Tiina Jääskeläinen, & Jorma J. Palvimo. (2009). PIAS proteins: pleiotropic interactors associated with SUMO. Cellular and Molecular Life Sciences. 66(18). 3029–3041. 235 indexed citations

14.

Pehkonen, Petri. (2007). Methods for Mining Data from Genome Wide High-Throughput Technologies. 9 indexed citations

15.

Vartiainen, Suvi, Petri Pehkonen, Merja Lakso, Richard Nass, & Garry Wong. (2006). Identification of gene expression changes in transgenic C. elegans overexpressing human α-synuclein. Neurobiology of Disease. 22(3). 477–486. 57 indexed citations

16.

Kankainen, Matti, et al.. (2006). POXO: a web-enabled tool series to discover transcription factor binding sites. Nucleic Acids Research. 34(Web Server). W534–W540. 9 indexed citations

17.

Pehkonen, Petri, Garry Wong, & Petri Törönen. (2005). Theme discovery from gene lists for identification and viewing of multiple functional groups. BMC Bioinformatics. 6(1). 162–162. 43 indexed citations

18.

Krasnov, Aleksei, Heikki Koskinen, Petri Pehkonen, et al.. (2005). Gene expression in the brain and kidney of rainbow trout in response to handling stress. BMC Genomics. 6(1). 3–3. 122 indexed citations

19.

Koskinen, Heikki, Petri Pehkonen, Eeva‐Riikka Vehniäinen, et al.. (2004). Response of rainbow trout transcriptome to model chemical contaminants. Biochemical and Biophysical Research Communications. 320(3). 745–753. 113 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