Eija Korpelainen

2.9k total citations
36 papers, 1.9k citations indexed

About

Eija Korpelainen is a scholar working on Molecular Biology, Information Systems and Management and Immunology. According to data from OpenAlex, Eija Korpelainen has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Information Systems and Management and 9 papers in Immunology. Recurrent topics in Eija Korpelainen's work include Genomics and Phylogenetic Studies (8 papers), Immune Response and Inflammation (8 papers) and Scientific Computing and Data Management (7 papers). Eija Korpelainen is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Immune Response and Inflammation (8 papers) and Scientific Computing and Data Management (7 papers). Eija Korpelainen collaborates with scholars based in Finland, Australia and Sweden. Eija Korpelainen's co-authors include Kari Alitalo, Yuji Gunji, Angel F. López, Petri Klemelä, Jennifer R. Gamble, Aleksi Kallio, Stefano J. Mandriota, Michael S. Pepper, Ulf Eriksson and Karin Aase and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Cell Biology.

In The Last Decade

Eija Korpelainen

35 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eija Korpelainen Finland 20 1.1k 422 402 325 156 36 1.9k
Cornelia Brunner Germany 25 808 0.7× 409 1.0× 916 2.3× 409 1.3× 30 0.2× 87 2.1k
I‐Ming Wang United States 26 692 0.6× 527 1.2× 914 2.3× 205 0.6× 58 0.4× 54 2.2k
B.J. Wagner United States 22 964 0.9× 510 1.2× 296 0.7× 171 0.5× 58 0.4× 48 1.8k
Philip W. Iversen United States 29 1.8k 1.7× 1.3k 3.0× 273 0.7× 405 1.2× 38 0.2× 59 3.4k
Alexander Schmitz Denmark 27 1.7k 1.6× 308 0.7× 567 1.4× 347 1.1× 70 0.4× 86 2.8k
Tim F. Rayner United Kingdom 21 1.6k 1.5× 236 0.6× 1.4k 3.4× 294 0.9× 52 0.3× 30 3.4k
Ali R. Afzal United Kingdom 17 848 0.8× 128 0.3× 195 0.5× 106 0.3× 63 0.4× 49 1.5k
Martin Fenner Germany 25 1.1k 1.0× 370 0.9× 190 0.5× 359 1.1× 17 0.1× 198 2.2k
Brett Milash United States 19 841 0.8× 559 1.3× 96 0.2× 420 1.3× 18 0.1× 33 1.9k
Songhai Chen United States 24 1.1k 1.0× 160 0.4× 105 0.3× 95 0.3× 97 0.6× 48 1.7k

Countries citing papers authored by Eija Korpelainen

Since Specialization
Citations

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

Fields of papers citing papers by Eija Korpelainen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eija Korpelainen

This figure shows the co-authorship network connecting the top 25 collaborators of Eija Korpelainen. A scholar is included among the top collaborators of Eija Korpelainen 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 Eija Korpelainen. Eija Korpelainen 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.
Spjuth, Ola, Erik Bongcam‐Rudloff, Johan Dahlberg, et al.. (2016). Recommendations on e-infrastructures for next-generation sequencing. GigaScience. 5(1). 26–26. 16 indexed citations
2.
Haziza, Frédéric, et al.. (2015). Biolmg.org: A Catalog of Virtual Machine Images for the Life Sciences. Bioinformatics and Biology Insights. 9. BBI.S28636–BBI.S28636. 7 indexed citations
3.
Spjuth, Ola, Erik Bongcam‐Rudloff, Lukas Forer, et al.. (2015). Experiences with workflows for automating data-intensive bioinformatics. Biology Direct. 10(1). 43–43. 41 indexed citations
4.
Schumacher, André, Luca Pireddu, Aleksi Kallio, et al.. (2013). Scripting for large-scale sequencing based on Hadoop. EMBnet journal. 19(A). 84–84.
5.
Kallio, Aleksi, et al.. (2012). Hadoop-BAM: directly manipulating next generation sequencing data in the cloud. Bioinformatics. 28(6). 876–877. 84 indexed citations
6.
Juhila, Juuso, Tessa Sipilä, Daniel Nicorici, et al.. (2011). MicroRNA Expression Profiling Reveals MiRNA Families Regulating Specific Biological Pathways in Mouse Frontal Cortex and Hippocampus. PLoS ONE. 6(6). e21495–e21495. 61 indexed citations
7.
Korpelainen, Eija, Matti Vartiainen, & Mari Kira. (2010). Self-Determined Adoption of an ICT System in a Work Organization. Journal of Organizational and End User Computing. 22(4). 51–69. 8 indexed citations
8.
9.
Stockinger, Heinz, Teresa K. Attwood, Rick Cote, et al.. (2008). Experience using web services for biological sequence analysis. Briefings in Bioinformatics. 9(6). 493–505. 19 indexed citations
10.
Heger, Andreas, Eija Korpelainen, Taavi Hupponen, et al.. (2007). PairsDB atlas of protein sequence space. Nucleic Acids Research. 36(suppl_1). D276–D280. 11 indexed citations
11.
Korpelainen, Eija, Marika J. Karkkainen, Yuji Gunji, Miikka Vikkula, & Kari Alitalo. (1999). Endothelial receptor tyrosine kinases activate the STAT signaling pathway: mutant Tie-2 causing venous malformations signals a distinct STAT activation response. Oncogene. 18(1). 1–8. 113 indexed citations
12.
Olofsson, Berit, Eija Korpelainen, Michael S. Pepper, et al.. (1998). VEGF-B binds to VEGFR-1 and regulates plasminogen activator activity in endothelial cells. Molecular Biology of the Cell. 9. 6 indexed citations
13.
Korpelainen, Eija, Marika J. Karkkainen, Merja Lakso, et al.. (1998). Overexpression of VEGF in Testis and Epididymis Causes Infertility in Transgenic Mice: Evidence for Nonendothelial Targets for VEGF. The Journal of Cell Biology. 143(6). 1705–1712. 96 indexed citations
14.
Olofsson, Birgitta, Eija Korpelainen, Michael S. Pepper, et al.. (1998). Vascular endothelial growth factor B (VEGF-B) binds to VEGF receptor-1 and regulates plasminogen activator activity in endothelial cells. Proceedings of the National Academy of Sciences. 95(20). 11709–11714. 423 indexed citations
15.
Barry, Simon C., Eija Korpelainen, Qing‐Yuan Sun, et al.. (1997). Roles of the N and C Terminal Domains of the Interleukin-3 Receptor α Chain in Receptor Function. Blood. 89(3). 842–852. 55 indexed citations
16.
Korpelainen, Eija, Jennifer R. Gamble, Mathew A. Vadas, & Angel F. López. (1996). IL‐3 receptor expression, regulation and function in cells of the Vasculature.. Immunology and Cell Biology. 74(1). 1–7. 51 indexed citations
17.
Sun, Qing‐Yuan, Joanna M. Woodcock, Aaron P. Rapoport, et al.. (1996). Monoclonal antibody 7G3 recognizes the N-terminal domain of the human interleukin-3 (IL-3) receptor alpha-chain and functions as a specific IL-3 receptor antagonist. Blood. 87(1). 83–92. 5 indexed citations
18.
Khew‐Goodall, Yeesim, C M Butcher, Shawn D. Newlands, et al.. (1996). Chronic expression of P-selectin on endothelial cells stimulated by the T-cell cytokine, interleukin-3. Blood. 87(4). 1432–1438. 70 indexed citations
19.
Sun, Qing‐Yuan, Joanna M. Woodcock, Aaron P. Rapoport, et al.. (1996). Monoclonal antibody 7G3 recognizes the N-terminal domain of the human interleukin-3 (IL-3) receptor alpha-chain and functions as a specific IL-3 receptor antagonist. Blood. 87(1). 83–92. 94 indexed citations
20.
Vadas, Mathew A., Angel F. López, Jennifer R. Gamble, et al.. (1994). Cytokines and allergy. Journal of Allergy and Clinical Immunology. 94(6). 1289–1293. 15 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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