Erina Kuranaga

3.5k total citations
66 papers, 2.7k citations indexed

About

Erina Kuranaga is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Erina Kuranaga has authored 66 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 27 papers in Cell Biology and 18 papers in Immunology. Recurrent topics in Erina Kuranaga's work include Cellular Mechanics and Interactions (16 papers), Cell death mechanisms and regulation (16 papers) and Neurobiology and Insect Physiology Research (12 papers). Erina Kuranaga is often cited by papers focused on Cellular Mechanics and Interactions (16 papers), Cell death mechanisms and regulation (16 papers) and Neurobiology and Insect Physiology Research (12 papers). Erina Kuranaga collaborates with scholars based in Japan, United States and Taiwan. Erina Kuranaga's co-authors include Masayuki Miura, Yu-ichiro Nakajima, Hirotaka Kanuka, Ayako Tonoki, Kiwamu Takemoto, Takeyasu Tomioka, Tatsushi Igaki, Asuka Takeishi, Hideyuki Okano and Akiko Koto and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Erina Kuranaga

66 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erina Kuranaga Japan 31 1.6k 735 689 417 283 66 2.7k
Miguel Weil Israel 24 3.1k 1.9× 588 0.8× 892 1.3× 530 1.3× 370 1.3× 54 4.8k
Masato Taoka Japan 40 4.0k 2.5× 592 0.8× 807 1.2× 519 1.2× 264 0.9× 111 5.3k
Patrick O. Humbert Australia 41 3.0k 1.9× 1.9k 2.5× 682 1.0× 247 0.6× 207 0.7× 138 5.0k
Jörg Großhans Germany 26 1.5k 0.9× 980 1.3× 347 0.5× 256 0.6× 65 0.2× 72 2.5k
Michelle Wu United States 16 1.2k 0.7× 598 0.8× 390 0.6× 105 0.3× 206 0.7× 20 2.5k
Joseph Loureiro United States 22 2.5k 1.5× 1.8k 2.4× 286 0.4× 505 1.2× 136 0.5× 36 4.1k
Elias T. Spiliotis United States 29 2.1k 1.3× 1.4k 1.9× 275 0.4× 247 0.6× 95 0.3× 46 3.0k
Marc Hild United States 20 3.5k 2.2× 795 1.1× 371 0.5× 404 1.0× 754 2.7× 27 4.7k
Stephen K. Doberstein United States 16 1.2k 0.8× 550 0.7× 600 0.9× 379 0.9× 68 0.2× 29 2.6k
Guangwei Du United States 36 3.1k 1.9× 1.3k 1.8× 474 0.7× 343 0.8× 281 1.0× 90 4.6k

Countries citing papers authored by Erina Kuranaga

Since Specialization
Citations

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

Fields of papers citing papers by Erina Kuranaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erina Kuranaga

This figure shows the co-authorship network connecting the top 25 collaborators of Erina Kuranaga. A scholar is included among the top collaborators of Erina Kuranaga 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 Erina Kuranaga. Erina Kuranaga 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.
Chiba, Shuhei, et al.. (2023). Calcium influx promotes PLEKHG4B localization to cell–cell junctions and regulates the integrity of junctional actin filaments. Molecular Biology of the Cell. 35(2). ar24–ar24. 3 indexed citations
2.
Nagai, Hiroki, Luís Augusto Eijy Nagai, Ryuichiro Nakato, et al.. (2023). Nutrient-driven dedifferentiation of enteroendocrine cells promotes adaptive intestinal growth in Drosophila. Developmental Cell. 58(18). 1764–1781.e10. 6 indexed citations
3.
Fujita, Hideaki, Junichi Kaneshiro, Maki Takeda, et al.. (2023). Estimation of crossbridge-state during cardiomyocyte beating using second harmonic generation. Life Science Alliance. 6(7). e202302070–e202302070. 5 indexed citations
4.
Fukushima, Kazuki, et al.. (2022). Inhibition of negative feedback for persistent epithelial cell–cell junction contraction by p21-activated kinase 3. Nature Communications. 13(1). 2 indexed citations
5.
6.
Kuranaga, Erina, et al.. (2021). Regeneration Potential of Jellyfish: Cellular Mechanisms and Molecular Insights. Genes. 12(5). 758–758. 21 indexed citations
7.
8.
Ohsawa, Shizue, et al.. (2018). Competition for Space Is Controlled by Apoptosis-Induced Change of Local Epithelial Topology. Current Biology. 28(13). 2115–2128.e5. 42 indexed citations
9.
Ihara, Ryoko, Shoji Tsuji, Takahiro Chihara, et al.. (2013). RNA binding mediates neurotoxicity in the transgenic Drosophila model of TDP-43 proteinopathy. Human Molecular Genetics. 22(22). 4474–4484. 66 indexed citations
10.
Sekine, Yusuke, Takeshi Watanabe, Shun-ichiro Iemura, et al.. (2012). The Kelch Repeat Protein KLHDC10 Regulates Oxidative Stress-Induced ASK1 Activation by Suppressing PP5. Molecular Cell. 48(5). 692–704. 67 indexed citations
11.
Kuranaga, Erina. (2011). Caspase signaling in animal development. Development Growth & Differentiation. 53(2). 137–148. 60 indexed citations
12.
Kamiya, Mako, Daisuke Asanuma, Erina Kuranaga, et al.. (2011). β-Galactosidase Fluorescence Probe with Improved Cellular Accumulation Based on a Spirocyclized Rhodol Scaffold. Journal of the American Chemical Society. 133(33). 12960–12963. 216 indexed citations
13.
Tonoki, Ayako, Erina Kuranaga, Takeyasu Tomioka, et al.. (2008). Genetic Evidence Linking Age-Dependent Attenuation of the 26S Proteasome with the Aging Process. Molecular and Cellular Biology. 29(4). 1095–1106. 219 indexed citations
14.
Suzuki, Eriko, Saya Ito, Shun Sawatsubashi, et al.. (2008). RNA-Binding Protein Hoip Accelerates PolyQ-Induced Neurodegeneration inDrosophila. Bioscience Biotechnology and Biochemistry. 72(9). 2255–2261. 12 indexed citations
15.
Takemoto, Kiwamu, Erina Kuranaga, Ayako Tonoki, et al.. (2007). Local initiation of caspase activation in Drosophila salivary gland programmed cell death in vivo. Proceedings of the National Academy of Sciences. 104(33). 13367–13372. 54 indexed citations
16.
Kuranaga, Erina & Masayuki Miura. (2007). Nonapoptotic functions of caspases: caspases as regulatory molecules for immunity and cell-fate determination. Trends in Cell Biology. 17(3). 135–144. 156 indexed citations
17.
Kuranaga, Erina, Hirotaka Kanuka, Ayako Tonoki, et al.. (2006). Drosophila IKK-Related Kinase Regulates Nonapoptotic Function of Caspases via Degradation of IAPs. Cell. 126(4). 811–811. 3 indexed citations
18.
Kanuka, Hirotaka, et al.. (2005). Drosophila caspase transduces Shaggy/GSK‐3β kinase activity in neural precursor development. The EMBO Journal. 24(21). 3793–3806. 92 indexed citations
19.
Kuranaga, Erina, Hirotaka Kanuka, Tatsushi Igaki, et al.. (2002). Reaper-mediated inhibition of DIAP1-induced DTRAF1 degradation results in activation of JNK in Drosophila. Nature Cell Biology. 4(9). 705–710. 119 indexed citations
20.
Kuranaga, Erina, Hirotaka Kanuka, Makoto Bannai, et al.. (1999). Fas/Fas Ligand System in Prolactin-Induced Apoptosis in Rat Corpus Luteum: Possible Role of Luteal Immune Cells. Biochemical and Biophysical Research Communications. 260(1). 167–173. 54 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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