Atsuko Ikeda

635 total citations
35 papers, 423 citations indexed

About

Atsuko Ikeda is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Atsuko Ikeda has authored 35 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Cell Biology and 6 papers in Epidemiology. Recurrent topics in Atsuko Ikeda's work include Cellular transport and secretion (10 papers), Lipid Membrane Structure and Behavior (8 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Atsuko Ikeda is often cited by papers focused on Cellular transport and secretion (10 papers), Lipid Membrane Structure and Behavior (8 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Atsuko Ikeda collaborates with scholars based in Japan, Spain and Switzerland. Atsuko Ikeda's co-authors include Kouichi Funato, Atsushi Komatsuzaki, Howard Riezman, Kentaro Kajiwara, Manuel Muñiz, Auxiliadora Aguilera-Romero, Shinya Kikuchi, Akihiko Nakano, Kazuo Kurokawa and MH Mahbub and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Atsuko Ikeda

34 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atsuko Ikeda Japan 12 253 121 60 59 57 35 423
Su Young Oh South Korea 13 285 1.1× 45 0.4× 37 0.6× 12 0.2× 10 0.2× 26 407
Danlei Zhou United States 9 76 0.3× 56 0.5× 50 0.8× 31 0.5× 25 0.4× 18 287
Fabienne Gally United States 15 188 0.7× 16 0.1× 71 1.2× 74 1.3× 43 0.8× 31 466
Dinorah Leyva‐Illades United States 12 121 0.5× 43 0.4× 25 0.4× 67 1.1× 65 1.1× 13 477
Phil Young Lee South Korea 12 238 0.9× 49 0.4× 30 0.5× 75 1.3× 54 0.9× 21 408
Ali Vural United States 11 291 1.2× 58 0.5× 38 0.6× 128 2.2× 42 0.7× 14 474
Camille Garcia France 11 302 1.2× 67 0.6× 25 0.4× 39 0.7× 20 0.4× 20 476
Chang Yang China 14 280 1.1× 27 0.2× 33 0.6× 47 0.8× 27 0.5× 28 478
William V. Everson United States 13 208 0.8× 159 1.3× 80 1.3× 33 0.6× 57 1.0× 16 472
Linda Vainikka Sweden 10 141 0.6× 44 0.4× 26 0.4× 42 0.7× 14 0.2× 18 411

Countries citing papers authored by Atsuko Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Atsuko Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuko Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Atsuko Ikeda. A scholar is included among the top collaborators of Atsuko Ikeda 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 Atsuko Ikeda. Atsuko Ikeda 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.
Gowda, Siddabasave Gowda B., Divyavani Gowda, Atsuko Ikeda, et al.. (2025). Plasma Lipidomics of Preadolescent Children: A Hokkaido Study. PubMed. 2025(1). 3106145–3106145. 2 indexed citations
2.
Ikeda, Atsuko, et al.. (2024). Ceramide sorting into non-vesicular transport is independent of acyl chain length in budding yeast. Biochemical and Biophysical Research Communications. 715. 149980–149980.
3.
Ikeda, Atsuko, et al.. (2024). The tricalbin family of membrane contact site tethers is involved in the transcriptional responses of Saccharomyces cerevisiae to glucose. Journal of Biological Chemistry. 300(9). 107665–107665. 1 indexed citations
4.
Ikeda, Atsuko, et al.. (2023). Vacuole membrane contact sites regulate liquid‐ordered domain formation during glucose starvation. FEBS Letters. 597(11). 1462–1468. 1 indexed citations
5.
Ikeda, Atsuko, Miyako Nakano, Auxiliadora Aguilera-Romero, et al.. (2022). Quality-controlled ceramide-based GPI-anchored protein sorting into selective ER exit sites. Cell Reports. 39(5). 110768–110768. 10 indexed citations
6.
Ikeda, Atsuko, et al.. (2021). Membrane Contact Sites in Yeast: Control Hubs of Sphingolipid Homeostasis. Membranes. 11(12). 971–971. 7 indexed citations
7.
Flor‐Parra, Ignacio, Atsuko Ikeda, Auxiliadora Aguilera-Romero, et al.. (2021). The Ceramide Synthase Subunit Lac1 Regulates Cell Growth and Size in Fission Yeast. International Journal of Molecular Sciences. 23(1). 303–303. 10 indexed citations
8.
Nakano, Miyako, Auxiliadora Aguilera-Romero, Sergio López, et al.. (2021). Structural analysis of the GPI glycan. PLoS ONE. 16(9). e0257435–e0257435. 5 indexed citations
9.
Kurokawa, Kazuo, Atsuko Ikeda, Valeria Zoni, et al.. (2020). Ceramide chain length–dependent protein sorting into selective endoplasmic reticulum exit sites. Science Advances. 6(50). 38 indexed citations
10.
Ikeda, Atsuko, et al.. (2020). Tricalbins Are Required for Non-vesicular Ceramide Transport at ER-Golgi Contacts and Modulate Lipid Droplet Biogenesis. iScience. 23(10). 101603–101603. 22 indexed citations
11.
Yabuki, Yukari, et al.. (2019). Sphingolipid/Pkh1/2-TORC1/Sch9 Signaling Regulates Ribosome Biogenesis in Tunicamycin-Induced Stress Response in Yeast. Genetics. 212(1). 175–186. 19 indexed citations
12.
13.
Yamaguchi, Natsu, MH Mahbub, Hidekazu Takahashi, et al.. (2017). Plasma free amino acid profiles evaluate risk of metabolic syndrome, diabetes, dyslipidemia, and hypertension in a large Asian population. Environmental Health and Preventive Medicine. 22(1). 35–35. 61 indexed citations
14.
Mahbub, MH, Natsu Yamaguchi, Hidekazu Takahashi, et al.. (2017). Alteration in plasma free amino acid levels and its association with gout. Environmental Health and Preventive Medicine. 22(1). 7–7. 30 indexed citations
15.
Kajiwara, Kentaro, Atsuko Ikeda, Auxiliadora Aguilera-Romero, et al.. (2013). Osh proteins regulate COPII-mediated vesicular transport of ceramide from the endoplasmic reticulum in budding yeast. Journal of Cell Science. 127(Pt 2). 376–87. 33 indexed citations
16.
Ikeda, Atsuko, Atsushi Komatsuzaki, Takeshi Kasama, Shizuo Handa, & Takao Taki. (2000). Detection of antibody to sialyl-i, a possible antigen in patients with Meniere’s disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1501(2-3). 81–90. 10 indexed citations
17.
Ikeda, Atsuko, et al.. (1998). A CT Study of the Course of Growth of the Maxillary Sinus: Normal Subjects and Subjects with Chronic Sinusitis. ORL. 60(3). 147–152. 34 indexed citations
18.
Ikeda, Atsuko, et al.. (1997). A Study of the Distribution Pattern and Correlation between Maxillary, Frontal and Sphenoid Sinus Volume.. Practica Oto-Rhino-Laryngologica. 90(11). 1235–1239. 1 indexed citations
19.
Ikeda, Atsuko. (1996). VOLUMETRIC MEASUREMENT OF THE MAXILLARY SINUS BY CORONAL CT SCAN. Nippon Jibiinkoka Gakkai Kaiho. 99(8). 1136–1143,1155. 24 indexed citations
20.
Ikeda, Atsuko, et al.. (1992). Plain X-ray and Coronal CT in Diagnosis of Sinusitis.. Practica Oto-Rhino-Laryngologica. 85(8). 1253–1260. 1 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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