Kaisu Määttä

1.2k total citations
10 papers, 992 citations indexed

About

Kaisu Määttä is a scholar working on Biochemistry, Molecular Biology and Plant Science. According to data from OpenAlex, Kaisu Määttä has authored 10 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biochemistry, 5 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Kaisu Määttä's work include Phytochemicals and Antioxidant Activities (7 papers), Berry genetics and cultivation research (3 papers) and Plant Gene Expression Analysis (3 papers). Kaisu Määttä is often cited by papers focused on Phytochemicals and Antioxidant Activities (7 papers), Berry genetics and cultivation research (3 papers) and Plant Gene Expression Analysis (3 papers). Kaisu Määttä collaborates with scholars based in Finland and Sweden. Kaisu Määttä's co-authors include Afaf Kamal‐Eldin, Riitta Törrönen, Anneli Törrönen, Sirpa Kärenlampi, Anja Hohtola, Laura Jaakola, Anna Maria Pirttilä, Hanna Kokko, Anne Hukkanen and Reijo Karjalainen and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Agricultural and Food Chemistry and Antioxidants and Redox Signaling.

In The Last Decade

Kaisu Määttä

10 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaisu Määttä Finland	8	590	474	449	201	119	10	992
Jung Bong Kim South Korea	14	250 0.4×	348 0.7×	296 0.7×	215 1.1×	107 0.9×	29	835
Klaus Peter Latté Germany	14	229 0.4×	341 0.7×	390 0.9×	165 0.8×	87 0.7×	28	844
Eva Maria Hubbermann Germany	13	412 0.7×	289 0.6×	240 0.5×	304 1.5×	96 0.8×	15	789
Mathew A. Wallig United States	6	383 0.6×	457 1.0×	703 1.6×	110 0.5×	112 0.9×	8	1.0k
R. Törrönen Finland	11	422 0.7×	271 0.6×	138 0.3×	204 1.0×	175 1.5×	18	783
Paul Kolodziejczyk Canada	9	310 0.5×	443 0.9×	189 0.4×	639 3.2×	94 0.8×	19	1.0k
Jarosław Czubiński Poland	15	219 0.4×	246 0.5×	177 0.4×	271 1.3×	133 1.1×	31	825
Dušanka Kitić Serbia	19	261 0.4×	516 1.1×	226 0.5×	475 2.4×	82 0.7×	82	958
Ibrahim Mujić Croatia	14	216 0.4×	244 0.5×	126 0.3×	231 1.1×	119 1.0×	51	684

Countries citing papers authored by Kaisu Määttä

Since Specialization

Citations

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

Fields of papers citing papers by Kaisu Määttä

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaisu Määttä

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

All Works

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10 of 10 papers shown

Määttä, Kaisu, Afaf Kamal‐Eldin, & Anneli Törrönen. (2003). High-Performance Liquid Chromatography (HPLC) Analysis of Phenolic Compounds in Berries with Diode Array and Electrospray Ionization Mass Spectrometric (MS) Detection: Ribes Species. Journal of Agricultural and Food Chemistry. 51(23). 6736–6744. 227 indexed citations

Frank, Jan, Afaf Kamal‐Eldin, Torbjörn Lundh, et al.. (2003). Effects of Dietary Anthocyanins on Tocopherols and Lipids in Rats. Journal of Agricultural and Food Chemistry. 51(10). 3196–3196. 2 indexed citations

Jaakola, Laura, et al.. (2003). FLAVONOID BIOSYNTHESIS IN BILBERRY (VACCINIUM MYRTILLUS L.). Acta Horticulturae. 415–419. 7 indexed citations

Jaakola, Laura, Kaisu Määttä, Anna Maria Pirttilä, et al.. (2002). Expression of Genes Involved in Anthocyanin Biosynthesis in Relation to Anthocyanin, Proanthocyanidin, and Flavonol Levels during Bilberry Fruit Development. PLANT PHYSIOLOGY. 130(2). 729–739. 382 indexed citations

Törrönen, R. & Kaisu Määttä. (2002). BIOACTIVE SUBSTANCES AND HEALTH BENEFITS OF STRAWBERRIES. Acta Horticulturae. 797–803. 25 indexed citations

Frank, Jan, Afaf Kamal‐Eldin, Torbjörn Lundh, et al.. (2002). Effects of Dietary Anthocyanins on Tocopherols and Lipids in Rats. Journal of Agricultural and Food Chemistry. 50(25). 7226–7230. 42 indexed citations

Määttä, Kaisu, Afaf Kamal‐Eldin, & Riitta Törrönen. (2001). Phenolic Compounds in Berries of Black, Red, Green, and White Currants ( Ribes sp.). Antioxidants and Redox Signaling. 3(6). 981–993. 88 indexed citations

Määttä, Kaisu, Anne Hukkanen, Hanna Kokko, et al.. (2001). Flavonol Content Varies among Black Currant Cultivars. Journal of Agricultural and Food Chemistry. 49(7). 3274–3277. 105 indexed citations

Määttä, Kaisu, et al.. (2000). Content of the Flavonols Myricetin, Quercetin, and Kaempferol in Finnish Berry Wines. Journal of Agricultural and Food Chemistry. 48(7). 2675–2680. 62 indexed citations

10.

Kamal‐Eldin, Afaf, Kaisu Määttä, Jari Toivo, Anna‐Maija Lampi, & Vieno Piironen. (1998). Acid‐catalyzed isomerization of fucosterol and Δ⁵‐avenasterol. Lipids. 33(11). 1073–1077. 52 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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