Juha Saarikangas

2.2k total citations
21 papers, 1.5k citations indexed

About

Juha Saarikangas is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Juha Saarikangas has authored 21 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Juha Saarikangas's work include Cellular transport and secretion (5 papers), Cellular Mechanics and Interactions (5 papers) and Fungal and yeast genetics research (5 papers). Juha Saarikangas is often cited by papers focused on Cellular transport and secretion (5 papers), Cellular Mechanics and Interactions (5 papers) and Fungal and yeast genetics research (5 papers). Juha Saarikangas collaborates with scholars based in Finland, Switzerland and Germany. Juha Saarikangas's co-authors include Pekka Lappalainen, Hongxia Zhao, Yves Barral, Pieta K. Mattila, Eija Jokitalo, Helena Vihinen, Ville O. Paavilainen, Paavo K.J. Kinnunen, Sarah J. Butcher and Pasi Laurinmäki and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Physiological Reviews.

In The Last Decade

Juha Saarikangas

20 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juha Saarikangas Finland 11 1.0k 856 127 111 103 21 1.5k
James J. Hartman United States 17 1.1k 1.0× 879 1.0× 105 0.8× 111 1.0× 116 1.1× 28 1.8k
Brian J. Galletta United States 19 1.1k 1.0× 935 1.1× 75 0.6× 137 1.2× 100 1.0× 28 1.5k
Christopher P. Toret United States 11 1.2k 1.2× 1.3k 1.5× 111 0.9× 71 0.6× 102 1.0× 18 1.8k
Ville O. Paavilainen Finland 20 1.0k 1.0× 885 1.0× 56 0.4× 121 1.1× 85 0.8× 33 1.8k
Lynda K. Doolittle United States 13 1.4k 1.3× 551 0.6× 92 0.7× 217 2.0× 111 1.1× 17 2.3k
Russell E. McConnell United States 14 949 0.9× 391 0.5× 69 0.5× 116 1.0× 110 1.1× 18 1.4k
Sven Bogdan Germany 24 1.2k 1.1× 1.2k 1.4× 84 0.7× 119 1.1× 305 3.0× 44 2.0k
Marisan Mejillano United States 13 693 0.7× 881 1.0× 117 0.9× 62 0.6× 85 0.8× 14 1.5k
Céline Revenu France 15 772 0.7× 509 0.6× 77 0.6× 106 1.0× 90 0.9× 24 1.3k
Małgorzata Boczkowska United States 23 1.0k 1.0× 720 0.8× 46 0.4× 59 0.5× 92 0.9× 40 1.7k

Countries citing papers authored by Juha Saarikangas

Since Specialization
Citations

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

Fields of papers citing papers by Juha Saarikangas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juha Saarikangas

This figure shows the co-authorship network connecting the top 25 collaborators of Juha Saarikangas. A scholar is included among the top collaborators of Juha Saarikangas 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 Juha Saarikangas. Juha Saarikangas 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.
2.
Burnetti, Anthony, et al.. (2024). Proteostatic tuning underpins the evolution of novel multicellular traits. Science Advances. 10(10). eadn2706–eadn2706. 4 indexed citations
3.
Senju, Yosuke, Helena Vihinen, Aki Manninen, et al.. (2023). Actin-rich lamellipodia-like protrusions contribute to the integrity of epithelial cell–cell junctions. Journal of Biological Chemistry. 299(5). 104571–104571. 8 indexed citations
4.
Knuckles, Philip, et al.. (2022). A rare natural lipid induces neuroglobin expression to prevent amyloid oligomers toxicity and retinal neurodegeneration. Aging Cell. 21(7). e13645–e13645. 4 indexed citations
5.
Saarikangas, Juha, et al.. (2022). Whi3 mnemon association with endoplasmic reticulum membranes confines the memory of deceptive courtship to the yeast mother cell. Current Biology. 32(5). 963–974.e7. 5 indexed citations
6.
Saarikangas, Juha, et al.. (2020). Winter is coming: Regulation of cellular metabolism by enzyme polymerization in dormancy and disease. Experimental Cell Research. 397(2). 112383–112383. 6 indexed citations
7.
Saarikangas, Juha, Fabrice Caudron, Rupali Prasad, et al.. (2017). Compartmentalization of ER-Bound Chaperone Confines Protein Deposit Formation to the Aging Yeast Cell. Current Biology. 27(6). 773–783. 44 indexed citations
8.
Saarikangas, Juha & Fabrice Caudron. (2017). Spatial regulation of coalesced protein assemblies: Lessons from yeast to diseases. Prion. 11(3). 162–173. 1 indexed citations
9.
Saarikangas, Juha & Yves Barral. (2016). Protein aggregation as a mechanism of adaptive cellular responses. Current Genetics. 62(4). 711–724. 51 indexed citations
10.
Hotulainen, Pirta & Juha Saarikangas. (2016). The initiation of post-synaptic protrusions. Communicative & Integrative Biology. 9(3). e1125053–e1125053. 3 indexed citations
11.
Saarikangas, Juha & Yves Barral. (2015). Protein aggregates are associated with replicative aging without compromising protein quality control. eLife. 4. 102 indexed citations
12.
Mertz, Kirsten D., Gaurav Pathria, Christine Wagner, et al.. (2014). MTSS1 is a metastasis driver in a subset of human melanomas. Nature Communications. 5(1). 3465–3465. 53 indexed citations
13.
Maddugoda, Madhavi P., Caroline Stefani, David Gonzalez‐Rodriguez, et al.. (2011). cAMP Signaling by Anthrax Edema Toxin Induces Transendothelial Cell Tunnels, which Are Resealed by MIM via Arp2/3-Driven Actin Polymerization. Cell Host & Microbe. 10(5). 464–474. 54 indexed citations
14.
Boczkowska, Małgorzata, Hongxia Zhao, Juha Saarikangas, et al.. (2011). Pinkbar is an epithelial-specific BAR domain protein that generates planar membrane structures. Nature Structural & Molecular Biology. 18(8). 902–907. 77 indexed citations
15.
Saarikangas, Juha & Yves Barral. (2011). The emerging functions of septins in metazoans. EMBO Reports. 12(11). 1118–1126. 103 indexed citations
16.
Saarikangas, Juha, Pieta K. Mattila, Markku Varjosalo, et al.. (2011). Missing-in-metastasis MIM/MTSS1 promotes actin assembly at intercellular junctions and is required for integrity of kidney epithelia. Development. 138(9). e1–e1. 1 indexed citations
17.
Saarikangas, Juha, Hongxia Zhao, & Pekka Lappalainen. (2010). Regulation of the Actin Cytoskeleton-Plasma Membrane Interplay by Phosphoinositides. Physiological Reviews. 90(1). 259–289. 394 indexed citations
18.
Saarikangas, Juha, Hongxia Zhao, Pasi Laurinmäki, et al.. (2009). Molecular Mechanisms of Membrane Deformation by I-BAR Domain Proteins. Current Biology. 19(2). 95–107. 246 indexed citations
19.
Saarikangas, Juha, Janne Hakanen, Pieta K. Mattila, et al.. (2008). ABBA regulates plasma-membrane and actin dynamics to promote radial glia extension. Journal of Cell Science. 121(9). 1444–1454. 48 indexed citations
20.
Mattila, Pieta K., Juha Saarikangas, Ville O. Paavilainen, et al.. (2007). Missing-in-metastasis and IRSp53 deform PI(4,5)P2-rich membranes by an inverse BAR domain–like mechanism. The Journal of Cell Biology. 176(7). 953–964. 313 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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