Taija Koskenkorva

497 total citations
8 papers, 426 citations indexed

About

Taija Koskenkorva is a scholar working on Cell Biology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Taija Koskenkorva has authored 8 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Taija Koskenkorva's work include Hemoglobin structure and function (6 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Neonatal Health and Biochemistry (3 papers). Taija Koskenkorva is often cited by papers focused on Hemoglobin structure and function (6 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Neonatal Health and Biochemistry (3 papers). Taija Koskenkorva collaborates with scholars based in Switzerland, Austria and Japan. Taija Koskenkorva's co-authors include Susanna Burckhardt, Willem H. Koppenol, Günter Weiß, Pauli T. Kallio, Alexander D. Frey, Katrin Schwarz, Maria Wilhelm, Hiroyuki Arai, Daniel Bachmann and Judith Farrés and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Taija Koskenkorva

8 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taija Koskenkorva Switzerland	7	174	115	97	87	44	8	426
Majid Shayeghi United Kingdom	7	389 2.2×	188 1.6×	216 2.2×	296 3.4×	52 1.2×	13	695
A. N. Lestas United Kingdom	10	118 0.7×	90 0.8×	60 0.6×	64 0.7×	88 2.0×	20	348
Henry K. Bayele United Kingdom	16	397 2.3×	254 2.2×	283 2.9×	230 2.6×	72 1.6×	31	851
R. Di Stefano Italy	12	64 0.4×	191 1.7×	67 0.7×	17 0.2×	45 1.0×	41	589
Jiazhong Jiang United States	8	44 0.3×	214 1.9×	35 0.4×	28 0.3×	16 0.4×	8	497
Phillip S. Oates Australia	17	483 2.8×	233 2.0×	255 2.6×	417 4.8×	56 1.3×	30	932
Brie K. Fuqua United States	14	391 2.2×	201 1.7×	196 2.0×	366 4.2×	66 1.5×	18	797
Xueliang Yang China	13	47 0.3×	149 1.3×	51 0.5×	12 0.1×	37 0.8×	44	479
Kang Min Han South Korea	14	44 0.3×	182 1.6×	30 0.3×	76 0.9×	71 1.6×	49	594
AK Black Thailand	9	32 0.2×	76 0.7×	36 0.4×	64 0.7×	48 1.1×	14	558

Countries citing papers authored by Taija Koskenkorva

Since Specialization

Citations

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

Fields of papers citing papers by Taija Koskenkorva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taija Koskenkorva

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

All Works

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8 of 8 papers shown

Koskenkorva, Taija, et al.. (2016). Assessment of Dextran Antigenicity of Intravenous Iron Preparations with Enzyme-Linked Immunosorbent Assay (ELISA). International Journal of Molecular Sciences. 17(7). 1185–1185. 17 indexed citations

Koskenkorva, Taija, Günter Weiß, Willem H. Koppenol, & Susanna Burckhardt. (2013). The complex interplay of iron metabolism, reactive oxygen species, and reactive nitrogen species: Insights into the potential of various iron therapies to induce oxidative and nitrosative stress. Free Radical Biology and Medicine. 65. 1174–1194. 343 indexed citations

Koskenkorva, Taija & Pauli T. Kallio. (2009). Induction ofPseudomonas aeruginosafhpandfhpRby reactive oxygen species. Canadian Journal of Microbiology. 55(6). 657–663. 11 indexed citations

Kallio, Pauli T., et al.. (2008). Assessment of Biotechnologically Relevant Characteristics of Heterologous Hemoglobins in E. coli. Methods in enzymology on CD-ROM/Methods in enzymology. 436. 255–272. 6 indexed citations

Koskenkorva, Taija, et al.. (2007). Transcriptional activity of Pseudomonas aeruginosa fhp promoter is dependent on two regulators in addition to FhpR. Archives of Microbiology. 189(4). 385–396. 13 indexed citations

Kallio, Pauli T., et al.. (2006). Analysis of novel hemoglobins during microaerobic growth of HMP-negative Escherichia coli. Enzyme and Microbial Technology. 40(2). 329–336. 7 indexed citations

Koskenkorva, Taija, Alexander D. Frey, & Pauli T. Kallio. (2005). Characterization of heterologous hemoglobin and flavohemoglobin promoter regulation in Escherichia coli. Journal of Biotechnology. 122(2). 161–175. 15 indexed citations

Frey, Alexander D., Taija Koskenkorva, & Pauli T. Kallio. (2003). Vitreoscillahemoglobin promoter is not responsive to nitrosative and oxidative stress inEscherichia coli. FEMS Microbiology Letters. 224(1). 127–132. 14 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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