Saija Haapa-Paananen

1.3k total citations
24 papers, 967 citations indexed

About

Saija Haapa-Paananen is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Saija Haapa-Paananen has authored 24 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Ecology. Recurrent topics in Saija Haapa-Paananen's work include Advanced biosensing and bioanalysis techniques (8 papers), Gene expression and cancer classification (6 papers) and Bacteriophages and microbial interactions (5 papers). Saija Haapa-Paananen is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Gene expression and cancer classification (6 papers) and Bacteriophages and microbial interactions (5 papers). Saija Haapa-Paananen collaborates with scholars based in Finland, United States and Sweden. Saija Haapa-Paananen's co-authors include Olli Kallioniemi, Pekka Kohonen, Harri Savilahti, Merja Perälä, Sampsa Hautaniemi, Hannu Rita, Reija Autio, Kirsi Hellström, Maija Wolf and Matti Saarela and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Saija Haapa-Paananen

23 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saija Haapa-Paananen Finland 13 753 358 124 121 73 24 967
Edwin H. Rodriguez United States 6 1.0k 1.4× 431 1.2× 150 1.2× 92 0.8× 65 0.9× 8 1.4k
Jens Luebeck United States 13 771 1.0× 610 1.7× 149 1.2× 155 1.3× 41 0.6× 25 1.0k
Belén Miñana Spain 17 1.3k 1.7× 312 0.9× 116 0.9× 190 1.6× 88 1.2× 18 1.9k
Natalie Meyer Canada 5 1.2k 1.5× 337 0.9× 351 2.8× 66 0.5× 82 1.1× 7 1.5k
H. Tomas Rube United States 14 810 1.1× 134 0.4× 125 1.0× 146 1.2× 71 1.0× 18 1.1k
Svetlana A. Mikheeva United States 14 678 0.9× 214 0.6× 258 2.1× 71 0.6× 44 0.6× 22 1.0k
Erin Pleasance Canada 14 646 0.9× 355 1.0× 185 1.5× 211 1.7× 103 1.4× 41 1.1k
Lőrinc Sándor Pongor United States 19 851 1.1× 374 1.0× 387 3.1× 117 1.0× 161 2.2× 54 1.3k
Markus J. van Roosmalen Netherlands 17 650 0.9× 344 1.0× 180 1.5× 352 2.9× 57 0.8× 26 1.1k
HoJoon Lee United States 14 402 0.5× 162 0.5× 165 1.3× 54 0.4× 69 0.9× 38 728

Countries citing papers authored by Saija Haapa-Paananen

Since Specialization
Citations

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

Fields of papers citing papers by Saija Haapa-Paananen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saija Haapa-Paananen. 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 Saija Haapa-Paananen. The network helps show where Saija Haapa-Paananen may publish in the future.

Co-authorship network of co-authors of Saija Haapa-Paananen

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

All Works

20 of 20 papers shown
1.
Tsafou, Kalliopi, Branka Radic-Sarikas, Kristiina Iljin, et al.. (2018). Identifying the druggable interactome of EWS-FLI1 reveals MCL-1 dependent differential sensitivities of Ewing sarcoma cells to apoptosis inducers. Oncotarget. 9(57). 31018–31031. 10 indexed citations
2.
Kiljunen, Saija, Saija Haapa-Paananen, Maria I. Pajunen, et al.. (2017). Mu transpososome activity-profiling yields hyperactive MuA variants for highly efficient genetic and genome engineering. Nucleic Acids Research. 46(9). 4649–4661. 3 indexed citations
3.
Haapa-Paananen, Saija & Harri Savilahti. (2017). Applications of the Bacteriophage Mu In Vitro Transposition Reaction and Genome Manipulation via Electroporation of DNA Transposition Complexes. Methods in molecular biology. 1681. 279–286. 2 indexed citations
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Haapa-Paananen, Saija, et al.. (2016). MuA-mediated in vitro cloning of circular DNA: transpositional autointegration and the effect of MuB. Molecular Genetics and Genomics. 291(3). 1181–1191. 1 indexed citations
7.
Haapa-Paananen, Saija, et al.. (2014). An assay to monitor the activity of DNA transposition complexes yields a general quality control measure for transpositional recombination reactions. Mobile Genetic Elements. 4(5). 1–8. 1 indexed citations
8.
Haapa-Paananen, Saija, Niklas Wahlberg, & Harri Savilahti. (2014). Phylogenetic analysis of Maverick/Polinton giant transposons across organisms. Molecular Phylogenetics and Evolution. 78. 271–274. 27 indexed citations
9.
He, Tao, Saija Haapa-Paananen, Vitaliy O. Kaminskyy, et al.. (2013). Inhibition of the mitochondrial pyrimidine biosynthesis enzyme dihydroorotate dehydrogenase by doxorubicin and brequinar sensitizes cancer cells to TRAIL-induced apoptosis. Oncogene. 33(27). 3538–3549. 33 indexed citations
10.
Haapa-Paananen, Saija, Ping Chen, Kirsi Hellström, et al.. (2013). Functional Profiling of Precursor MicroRNAs Identifies MicroRNAs Essential for Glioma Proliferation. PLoS ONE. 8(4). e60930–e60930. 38 indexed citations
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Haapa-Paananen, Saija, Santeri Kiviluoto, Marika Waltari, et al.. (2011). HES6 gene is selectively overexpressed in glioma and represents an important transcriptional regulator of glioma proliferation. Oncogene. 31(10). 1299–1310. 27 indexed citations
13.
Mpindi, John Patrick, Henri Sara, Saija Haapa-Paananen, et al.. (2011). GTI: A Novel Algorithm for Identifying Outlier Gene Expression Profiles from Integrated Microarray Datasets. PLoS ONE. 6(2). e17259–e17259. 24 indexed citations
14.
Pajunen, Maria I., Lotta Happonen, Arja Lamberg, et al.. (2010). Universal platform for quantitative analysis of DNA transposition. Mobile DNA. 1(1). 24–24. 7 indexed citations
15.
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
16.
Leivonen, Suvi‐Katri, Riikka Mäkelä, Päivi Östling, et al.. (2009). Protein lysate microarray analysis to identify microRNAs regulating estrogen receptor signaling in breast cancer cell lines. Oncogene. 28(44). 3926–3936. 202 indexed citations
17.
Main, Heather, Kian Leong Lee, Henry Yang, et al.. (2009). Interactions between Notch- and hypoxia-induced transcriptomes in embryonic stem cells. Experimental Cell Research. 316(9). 1610–1624. 29 indexed citations
18.
Kilpinen, Sami, Reija Autio, Kalle Ojala, et al.. (2008). Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues. Genome biology. 9(9). R139–R139. 210 indexed citations
19.
Autio, Reija, Saija Haapa-Paananen, Maija Wolf, et al.. (2006). Identification of target genes in laryngeal squamous cell carcinoma by high-resolution copy number and gene expression microarray analyses. Oncogene. 25(52). 6997–7008. 79 indexed citations
20.
Haapa-Paananen, Saija, Hannu Rita, & Harri Savilahti. (2002). DNA Transposition of Bacteriophage Mu. Journal of Biological Chemistry. 277(4). 2843–2851. 64 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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