Piia Takabe

420 total citations
16 papers, 321 citations indexed

About

Piia Takabe is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Piia Takabe has authored 16 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cell Biology and 4 papers in Immunology and Allergy. Recurrent topics in Piia Takabe's work include Proteoglycans and glycosaminoglycans research (9 papers), Glycosylation and Glycoproteins Research (4 papers) and Cell Adhesion Molecules Research (4 papers). Piia Takabe is often cited by papers focused on Proteoglycans and glycosaminoglycans research (9 papers), Glycosylation and Glycoproteins Research (4 papers) and Cell Adhesion Molecules Research (4 papers). Piia Takabe collaborates with scholars based in Finland, Australia and Germany. Piia Takabe's co-authors include Sanna Pasonen‐Seppänen, Markku Tammi, Raija Tammi, Kirsi Rilla, Sanna Oikari, Riikka Kärnä, Geneviève Bart, Niina Aaltonen, Tiina Jokela and Tuomo Laitinen and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and International Journal of Molecular Sciences.

In The Last Decade

Piia Takabe

15 papers receiving 319 citations

Peers

Countries citing papers authored by Piia Takabe

Since Specialization

Citations

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

Fields of papers citing papers by Piia Takabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piia Takabe

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Extracellular vesicles derived from pro-inflammatory M1 macrophages induce an inflammatory and invasive phenotype in melanoma cells 2025 ·Cell Communication and Signaling ·(unknown), Einari A. Niskanen, (unknown), (unknown), Niina Aaltonen, (unknown), Piia Takabe, (unknown), Kirsi Rilla, Sanna Pasonen‐Seppänen	0
2	Oncogenic KEAP1 mutations activate TRAF2-NFκB signaling to prevent apoptosis in lung cancer cells 2024 ·Redox Biology ·Ashik Jawahar Deen, Simone Adinolfi, Jouni Härkönen, (unknown), Xiaonan Liu, Tuomo Laitinen, Piia Takabe, (unknown), Sanna Pasonen‐Seppänen, Lisa Gawriyski, Uma Thanigai Arasu, Ilakya Selvarajan, Petri I. Mäkinen, (unknown), Emilia Kansanen, Minna U. Kaikkonen, Antti Poso, Markku Varjosalo, Anna–Liisa Levonen	13
3	SRSF3 shapes the structure of miR ‐17‐92 cluster RNA and promotes selective processing of miR ‐17 and miR ‐20a 2023 ·EMBO Reports ·(unknown), (unknown), (unknown), Piia Takabe, Rebekah Engel, (unknown), Thierry Jardé, Paul J. McMurrick, Helen E. Abud, Minna‐Liisa Änkö	5
4	M1 Macrophages Induce Protumor Inflammation in Melanoma Cells through TNFR–NF-κB Signaling 2022 ·Journal of Investigative Dermatology ·(unknown), Piia Takabe, Sami Heikkinen, Niina Aaltonen, Carol de la Motte, (unknown), (unknown), Sanna Oikari, (unknown), (unknown), (unknown), Jaana M. Hartikainen, Kirsi Ketola, Sanna Pasonen‐Seppänen	20
5	The Impact of Hyaluronan on Tumor Progression in Cutaneous Melanoma 2022 ·Frontiers in Oncology ·Piia Takabe, Hanna Siiskonen, (unknown), (unknown), Sanna Pasonen‐Seppänen	12
6	Fatty Acid Fingerprints and Hyaluronic Acid in Extracellular Vesicles from Proliferating Human Fibroblast-like Synoviocytes 2022 ·International Journal of Molecular Sciences ·Anne‐Mari Mustonen, Tommi Paakkonen, (unknown), Kirsi Rilla, Reijo Käkelä, Marjo Malinen, Piia Takabe, Sanna Oikari, (unknown), (unknown), (unknown), Petteri Nieminen	5
7	The calcium-activated chloride channel-associated protein rCLCA2 is expressed throughout rat epidermis, facilitates apoptosis and is downmodulated by UVB 2021 ·Histochemistry and Cell Biology ·(unknown), Geneviève Bart, Piia Takabe, (unknown), Ashik Jawahar Deen, Sanna Pasonen‐Seppänen, (unknown), Riikka Kärnä, Timo Kumlin, Markku Tammi, Raija Tammi	4
8	Melanocyte Hyaluronan Coat Fragmentation Enhances the UVB-Induced TLR-4 Receptor Signaling and Expression of Proinflammatory Mediators IL6, IL8, CXCL1, and CXCL10 via NF-κB Activation 2019 ·Journal of Investigative Dermatology ·Piia Takabe, Riikka Kärnä, (unknown), Markku Tammi, Raija Tammi, Sanna Pasonen‐Seppänen	16
9	Metformin Decreases Hyaluronan Synthesis by Vascular Smooth Muscle Cells 2019 ·Journal of Investigative Medicine ·Annele Sainio, Piia Takabe, Sanna Oikari, (unknown), Markku Koulu, Mirva Söderström, Sanna Pasonen‐Seppänen, Hannu Järveläinen	11
10	Hyaluronan metabolism enhanced during epidermal differentiation is suppressed by vitamin C 2018 ·British Journal of Dermatology ·(unknown), (unknown), Piia Takabe, (unknown), Geneviève Bart, Riikka Kärnä, Sanna Pasonen‐Seppänen, Sanna Oikari, Markku Tammi, Raija Tammi	12
11	Extracellular ATP activates hyaluronan synthase 2 (HAS2) in epidermal keratinocytes via P2Y2, Ca2+ signaling, and MAPK pathways 2018 ·Biochemical Journal ·(unknown), Tiina Jokela, Riikka Kärnä, Geneviève Bart, Piia Takabe, Sanna Oikari, Markku Tammi, Sanna Pasonen‐Seppänen, Raija Tammi	24
12	UDP-sugar substrates of HAS3 regulate its O-GlcNAcylation, intracellular traffic, extracellular shedding and correlate with melanoma progression 2016 ·Cellular and Molecular Life Sciences ·Ashik Jawahar Deen, Uma Thanigai Arasu, Sanna Pasonen‐Seppänen, Antti Hassinen, Piia Takabe, Sara Wojciechowski, Riikka Kärnä, Kirsi Rilla, Sakari Kellokumpu, Raija Tammi, Markku Tammi, Sanna Oikari	49
13	Interleukin-1β-induced Reduction of CD44 Ser-325 Phosphorylation in Human Epidermal Keratinocytes Promotes CD44 Homomeric Complexes, Binding to Ezrin, and Extended, Monocyte-adhesive Hyaluronan Coats 2015 ·Journal of Biological Chemistry ·Tiina Jokela, Sanna Oikari, Piia Takabe, Kirsi Rilla, Riikka Kärnä, Markku Tammi, Raija Tammi	21
14	Hyaluronan synthase 3 (HAS3) overexpression downregulates MV3 melanoma cell proliferation, migration and adhesion 2015 ·Experimental Cell Research ·Piia Takabe, Geneviève Bart, Antti Ropponen, Kirsi Rilla, Markku Tammi, Raija Tammi, Sanna Pasonen‐Seppänen	23
15	Piperazine and Piperidine Triazole Ureas as Ultrapotent and Highly Selective Inhibitors of Monoacylglycerol Lipase 2013 ·Chemistry & Biology ·Niina Aaltonen, Juha R. Savinainen, (unknown), (unknown), Anne Kuusisto, (unknown), Dina Navia‐Paldanius, Jukka Häyrinen, Piia Takabe, (unknown), Tatu Pantsar, Tuomo Laitinen, Marko Lehtonen, Sanna Pasonen‐Seppänen, Antti Poso, Tapio Nevalainen, Jarmo T. Laitinen	85
16	Melanoma cell-derived factors stimulate hyaluronan synthesis in dermal fibroblasts by upregulating HAS2 through PDGFR-PI3K-AKT and p38 signaling 2012 ·Histochemistry and Cell Biology ·Sanna Pasonen‐Seppänen, Piia Takabe, Michael Edward, (unknown), Kirsi Rilla, Markku Tammi, Raija Tammi	21

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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