Kiyo Shimada

4.2k total citations
24 papers, 463 citations indexed

About

Kiyo Shimada is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kiyo Shimada has authored 24 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kiyo Shimada's work include Cardiomyopathy and Myosin Studies (5 papers), Glycosylation and Glycoproteins Research (4 papers) and RNA regulation and disease (3 papers). Kiyo Shimada is often cited by papers focused on Cardiomyopathy and Myosin Studies (5 papers), Glycosylation and Glycoproteins Research (4 papers) and RNA regulation and disease (3 papers). Kiyo Shimada collaborates with scholars based in Japan and Germany. Kiyo Shimada's co-authors include Hisashi Koga, Keiichi Yamamoto, Kazue Usui‐Aoki, Munehiro Kikuyama, Yoko Hirata, Kentaro Oh‐hashi, Kazutoshi Kiuchi, Masashi Tazawa, Makoto Kawai and Shun Ikeda and has published in prestigious journals such as Journal of Molecular Biology, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.

In The Last Decade

Kiyo Shimada

23 papers receiving 453 citations

Peers

Kiyo Shimada

RNMI

CMN

Brian T. Edmonds United States

Daniel Z. Bar Israel

Michaela Mickoleit Germany

Vera Konieczny United Kingdom

Michele L. Markwardt United States

Beat Ludin Switzerland

John H. Hayden United States

Joshua B. Kelley United States

C. Jaworski United States

Arni S. Masibay United States

Brian T. Edmonds United States

Kiyo Shimada

441 ×1.4

184 ×1.8

47 ×0.6

22 ×0.3

RNMI

49 ×0.8

CMN

Citations per year, relative to Kiyo Shimada Kiyo Shimada (= 1×) peers Brian T. Edmonds

Countries citing papers authored by Kiyo Shimada

Since Specialization

Citations

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

Fields of papers citing papers by Kiyo Shimada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyo Shimada

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

All Works

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20 of 20 papers shown

Oh‐hashi, Kentaro, et al.. (2013). Transcriptional and post-translational regulation of mouse cation transport regulator homolog 1. Molecular and Cellular Biochemistry. 380(1-2). 97–106. 20 indexed citations

Oh‐hashi, Kentaro, Hisashi Koga, Shun Ikeda, et al.. (2010). Role of an ER stress response element in regulating the bidirectional promoter of the mouse CRELD2 - ALG12 gene pair. BMC Genomics. 11(1). 664–664. 7 indexed citations

Oh‐hashi, Kentaro, Hisashi Koga, Shun Ikeda, et al.. (2009). CRELD2 is a novel endoplasmic reticulum stress-inducible gene. Biochemical and Biophysical Research Communications. 387(3). 504–510. 54 indexed citations

Okazaki, Noriko, Shun Ikeda, Reiko Ohara, et al.. (2008). The Novel Protein Complex with SMARCAD1/KIAA1122 Binds to the Vicinity of TSS. Journal of Molecular Biology. 382(2). 257–265. 26 indexed citations

Shimada, Kiyo, et al.. (2007). Binding of Chara Myosin Globular Tail Domain to Phospholipid Vesicles. Plant and Cell Physiology. 48(11). 1558–1566. 4 indexed citations

Usui‐Aoki, Kazue, Kiyo Shimada, & Hisashi Koga. (2006). A novel antibody microarray format using non-covalent antibody immobilization with chemiluminescent detection. Molecular BioSystems. 3(1). 36–42. 10 indexed citations

Yamamoto, Keiichi, Kiyo Shimada, Kohji Ito, et al.. (2006). Chara Myosin and the Energy of Cytoplasmic Streaming. Plant and Cell Physiology. 47(10). 1427–1431. 13 indexed citations

Ohara, Reiko, Achim Knappik, Kiyo Shimada, et al.. (2006). Antibodies for proteomic research: Comparison of traditional immunization with recombinant antibody technology. PROTEOMICS. 6(9). 2638–2646. 35 indexed citations

Yamamoto, Hideko, Yukio Takamatsu, Yoko Hagino, et al.. (2006). Repeated Methamphetamine Administration Alters Expression of the NMDA Receptor Channel ɛ2 Subunit and Kinesins in the Mouse Brain. Annals of the New York Academy of Sciences. 1074(1). 97–103. 12 indexed citations

10.

Murakami, Mari, Kiyo Shimada, Masanobu Kawai, & Hisashi Koga. (2006). InCeP: Intracellular Pathway Based on mKIAA Protein-Protein Interactions. DNA Research. 12(5). 379–387. 5 indexed citations

11.

Usui‐Aoki, Kazue, et al.. (2005). A novel approach to protein expression profiling using antibody microarrays combined with surface plasmon resonance technology. PROTEOMICS. 5(9). 2396–2401. 66 indexed citations

12.

Yamamoto, Hideko, Yukio Takamatsu, Yoko Hagino, et al.. (2005). Methamphetamine modulation of gene expression in the brain: Analysis using customized cDNA microarray system with the mouse homologues of KIAA genes. Molecular Brain Research. 137(1-2). 40–46. 19 indexed citations

13.

Ozaki, Akiyuki, Takahiro Nagase, Ayako Watanabe, et al.. (2005). Utilization of mammalian cells for efficient and reliable evaluation of specificity of antibodies to unravel the cellular function of mKIAA proteins. Gene. 360(1). 35–44. 3 indexed citations

14.

Koga, Hisashi, Kiyo Shimada, Ryo Yokoyama, et al.. (2004). A comprehensive approach for establishment of the platform to analyze functions of KIAA proteins: Generation and evaluation of anti‐mKIAA antibodies. PROTEOMICS. 4(5). 1412–1416. 22 indexed citations

15.

Shimada, Kiyo, et al.. (2004). The Motility of Chara corallina Myosin was Inhibited Reversibly by 2,3-Butanedione Monoxime (BDM). Plant and Cell Physiology. 45(9). 1342–1345. 28 indexed citations

16.

Ito, Kohji, Taku Kashiyama, Kiyo Shimada, et al.. (2003). Recombinant motor domain constructs of Chara corallina myosin display fast motility and high ATPase activity. Biochemical and Biophysical Research Communications. 312(4). 958–964. 35 indexed citations

17.

Awata, Junya, et al.. (2003). Susceptibility of Chara Myosin to SH Reagents. Plant and Cell Physiology. 44(2). 201–205. 4 indexed citations

18.

Hatori, Kuniyuki, et al.. (2001). Enhancement of fluctuating displacements of an actin filament in the presence of magnetic field.. Seibutsu Butsuri. 41(supplement). S55–S55. 1 indexed citations

19.

Awata, Junya, et al.. (2001). Effects of Ca2+ and Calmodulin on the Motile Activity of Characean Myosin In vitro. Plant and Cell Physiology. 42(8). 828–834. 20 indexed citations

20.

Kikuyama, M., Kiyo Shimada, & Yukio Hiramoto. (1993). Cessation of cytoplasmic streaming follows an increase of cytoplasmic Ca2+ during action potential inNitella. PROTOPLASMA. 174(3-4). 142–146. 23 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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