Seppo Kaijalainen

928 total citations
21 papers, 722 citations indexed

About

Seppo Kaijalainen is a scholar working on Plant Science, Molecular Biology and Oncology. According to data from OpenAlex, Seppo Kaijalainen has authored 21 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 9 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Seppo Kaijalainen's work include Legume Nitrogen Fixing Symbiosis (9 papers), Plant nutrient uptake and metabolism (5 papers) and Lymphatic System and Diseases (3 papers). Seppo Kaijalainen is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (9 papers), Plant nutrient uptake and metabolism (5 papers) and Lymphatic System and Diseases (3 papers). Seppo Kaijalainen collaborates with scholars based in Finland, United States and United Kingdom. Seppo Kaijalainen's co-authors include Kristina Lindström, Kari Alitalo, Andrey Anisimov, Seppo Ylä‐Herttuala, Veli‐Matti Leppänen, Tanja Holopainen, Michael Jeltsch, Giselle Nick, Tuomas Tammela and Zewdu Terefework and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Seppo Kaijalainen

21 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seppo Kaijalainen Finland 17 304 275 215 90 75 21 722
A. Ayadi Tunisia 13 249 0.8× 288 1.0× 80 0.4× 22 0.2× 84 1.1× 29 714
John Loh United States 9 284 0.9× 323 1.2× 87 0.4× 74 0.8× 50 0.7× 15 1.1k
Louis Delbecchi Canada 15 243 0.8× 72 0.3× 145 0.7× 71 0.8× 322 4.3× 32 858
G. Frelat France 16 450 1.5× 299 1.1× 144 0.7× 35 0.4× 9 0.1× 37 1.0k
Dave Tang Australia 14 883 2.9× 94 0.3× 68 0.3× 21 0.2× 37 0.5× 18 1.2k
Bei Li China 15 482 1.6× 39 0.1× 174 0.8× 21 0.2× 51 0.7× 46 848
Brigid Stirling United States 10 345 1.1× 174 0.6× 90 0.4× 19 0.2× 56 0.7× 10 829
Patrick J. Barker United Kingdom 13 460 1.5× 278 1.0× 40 0.2× 12 0.1× 24 0.3× 17 838
Han Yang China 17 511 1.7× 195 0.7× 109 0.5× 19 0.2× 12 0.2× 43 852
Pedro M. Aponte Ecuador 13 428 1.4× 38 0.1× 164 0.8× 10 0.1× 68 0.9× 24 1.0k

Countries citing papers authored by Seppo Kaijalainen

Since Specialization
Citations

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

Fields of papers citing papers by Seppo Kaijalainen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seppo Kaijalainen

This figure shows the co-authorship network connecting the top 25 collaborators of Seppo Kaijalainen. A scholar is included among the top collaborators of Seppo Kaijalainen 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 Seppo Kaijalainen. Seppo Kaijalainen 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.
Gramolelli, Silvia, Thomas Günther, Seppo Kaijalainen, et al.. (2020). Oncogenic Herpesvirus Engages Endothelial Transcription Factors SOX18 and PROX1 to Increase Viral Genome Copies and Virus Production. Cancer Research. 80(15). 3116–3129. 16 indexed citations
2.
Lähde, Marianne, Seppo Kaijalainen, Andrey Anisimov, et al.. (2020). Expression of R-Spondin 1 in Apc Mice Suppresses Growth of Intestinal Adenomas by Altering Wnt and Transforming Growth Factor Beta Signaling. Gastroenterology. 160(1). 245–259. 32 indexed citations
3.
Morfoisse, Florent, Charlotte Erpicum, Silvia Blacher, et al.. (2018). uPARAP/Endo180 receptor is a gatekeeper of VEGFR-2/VEGFR-3 heterodimerisation during pathological lymphangiogenesis. Nature Communications. 9(1). 5178–5178. 22 indexed citations
4.
Wiener, Zoltán, Arja M. Band, Pauliina Kallio, et al.. (2014). Oncogenic mutations in intestinal adenomas regulate Bim-mediated apoptosis induced by TGF-β. Proceedings of the National Academy of Sciences. 111(21). E2229–36. 48 indexed citations
5.
Anisimov, Andrey, Veli‐Matti Leppänen, Denis Tvorogov, et al.. (2013). The Basis for the Distinct Biological Activities of Vascular Endothelial Growth Factor Receptor–1 Ligands. Science Signaling. 6(282). ra52–ra52. 46 indexed citations
6.
Zheng, Wei, Tuomas Tammela, Masahiro Yamamoto, et al.. (2011). Notch restricts lymphatic vessel sprouting induced by vascular endothelial growth factor. Blood. 118(4). 1154–1162. 106 indexed citations
7.
8.
Chen, Qiang, Xiaoping Zhang, Zewdu Terefework, et al.. (2003). Diversity and compatibility of peanut (Arachis hypogaea L.) bradyrhizobia and their host plants. Plant and Soil. 255(2). 605–617. 19 indexed citations
9.
Kaijalainen, Seppo, Michael Schroda, & Kristina Lindström. (2002). Cloning of nodule‐specific cDNAs ofGalega orientalis. Physiologia Plantarum. 114(4). 588–593. 18 indexed citations
10.
11.
Zhang, Xiaoping, Giselle Nick, Seppo Kaijalainen, et al.. (1999). Phylogeny and Diversity of Bradyrhizobium Strains Isolated from the Root Nodules of Peanut (Arachis hypogaea) in Sichuan, China. Systematic and Applied Microbiology. 22(3). 378–386. 44 indexed citations
12.
Nick, Giselle, Bart Hoste, R. Maarit Niemi, et al.. (1999). Rhizobia Isolated from Root Nodules of Tropical Leguminous Trees Characterized Using DNA-DNA dot-blot Hybridisation and rep-PCR Genomic Fingerprinting. Systematic and Applied Microbiology. 22(2). 287–299. 73 indexed citations
13.
Kaijalainen, Seppo, et al.. (1999). Grouping of lignin degrading corticioid fungi based on RFLP analysis of 18S rDNA and ITS regions. Mycological Research. 103(8). 990–996. 11 indexed citations
14.
Niemelä, Seppo, et al.. (1997). MPN-PCR—quantification method for staphylococcal enterotoxin c 1 gene from fresh cheese. International Journal of Food Microbiology. 36(2-3). 135–143. 34 indexed citations
15.
16.
Kaijalainen, Seppo, et al.. (1994). Isolation of a Rhizobium galegae strain-specific DNA probe.. PubMed. 2(4). 231–7. 7 indexed citations
17.
Kaijalainen, Seppo, Pekka J. Karhunen, Kaisa Lalu, & Kristina Lindström. (1993). An alternative hot start technique for PCR in small volumes using beads of wax-embedded reaction components dried in trehalose. Nucleic Acids Research. 21(12). 2959–2960. 33 indexed citations
18.
Kaijalainen, Seppo, et al.. (1991). Genetic relatedness of bacteriophage infectingRhizobium galegaestrains. FEMS Microbiology Letters. 82(3). 241–246. 3 indexed citations
19.
Kaijalainen, Seppo, et al.. (1990). Stability of Markers Used for Identification of Two Rhizobium galegae Inoculant Strains after Five Years in the Field. Applied and Environmental Microbiology. 56(2). 444–450. 34 indexed citations
20.
Kaijalainen, Seppo & Kristina Lindström. (1989). Restriction fragment length polymorphism analysis of Rhizobium galegae strains. Journal of Bacteriology. 171(10). 5561–5566. 40 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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