Keisuke Ishihara

1.3k total citations
28 papers, 888 citations indexed

About

Keisuke Ishihara is a scholar working on Molecular Biology, Cell Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Keisuke Ishihara has authored 28 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Cell Biology and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Keisuke Ishihara's work include Microtubule and mitosis dynamics (14 papers), Cellular Mechanics and Interactions (8 papers) and VLSI and FPGA Design Techniques (3 papers). Keisuke Ishihara is often cited by papers focused on Microtubule and mitosis dynamics (14 papers), Cellular Mechanics and Interactions (8 papers) and VLSI and FPGA Design Techniques (3 papers). Keisuke Ishihara collaborates with scholars based in United States, Germany and Japan. Keisuke Ishihara's co-authors include Timothy J. Mitchison, Aaron C. Groen, Phuong Nguyen, Ronald D. Vale, Sabine Petry, Christine M. Field, Martin Wühr, Martin Loose, Kirill S. Korolev and Jan Brugués and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Keisuke Ishihara

28 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keisuke Ishihara United States 13 624 617 94 61 52 28 888
Keiko Hirose Japan 20 937 1.5× 855 1.4× 81 0.9× 75 1.2× 9 0.2× 49 1.3k
Marija Žanić United States 17 1.2k 1.9× 1.1k 1.7× 131 1.4× 45 0.7× 11 0.2× 33 1.4k
Sergey Kuznetsov Russia 15 1.1k 1.8× 971 1.6× 71 0.8× 23 0.4× 19 0.4× 50 1.5k
John Peloquin United States 11 745 1.2× 551 0.9× 64 0.7× 50 0.8× 36 0.7× 15 920
Christian Hentrich Germany 8 451 0.7× 456 0.7× 74 0.8× 65 1.1× 11 0.2× 12 660
Shiori Toba Japan 12 617 1.0× 519 0.8× 35 0.4× 62 1.0× 9 0.2× 19 842
Magdalena Preciado López United States 9 566 0.9× 341 0.6× 35 0.4× 75 1.2× 10 0.2× 15 719
Radhika Subramanian United States 15 577 0.9× 642 1.0× 95 1.0× 107 1.8× 33 0.6× 29 955
Olga Markova France 11 442 0.7× 385 0.6× 30 0.3× 14 0.2× 13 0.3× 17 726
Bram Prevo United States 12 480 0.8× 693 1.1× 50 0.5× 39 0.6× 13 0.3× 25 947

Countries citing papers authored by Keisuke Ishihara

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Ishihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Ishihara

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Ishihara. A scholar is included among the top collaborators of Keisuke Ishihara 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 Keisuke Ishihara. Keisuke Ishihara 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.
Ishihara, Keisuke, et al.. (2024). The endoplasmic reticulum connects to the nucleus by constricted junctions that mature after mitosis. EMBO Reports. 25(7). 3137–3159. 8 indexed citations
2.
Stuart, Hannah T., Keisuke Ishihara, Manuela Melchionda, et al.. (2024). Mouse neural tube organoids self-organize floorplate through BMP-mediated cluster competition. Developmental Cell. 59(15). 1940–1953.e10. 9 indexed citations
3.
Ishihara, Keisuke, et al.. (2024). Touch It Like It’s Hot: A Thermal Feedback Enabled Encountered-type Haptic Display for Virtual Reality. TUbilio (Technical University of Darmstadt). 700–709. 1 indexed citations
4.
Ishihara, Keisuke, et al.. (2022). Topological morphogenesis of neuroepithelial organoids. Nature Physics. 19(2). 177–183. 14 indexed citations
5.
Ishihara, Keisuke, et al.. (2021). Spatial variation of microtubule depolymerization in large asters. Molecular Biology of the Cell. 32(9). 869–879. 6 indexed citations
6.
Golfier, Stefan, et al.. (2020). Spindle Scaling Is Governed by Cell Boundary Regulation of Microtubule Nucleation. Current Biology. 30(24). 4973–4983.e10. 40 indexed citations
7.
Ishihara, Keisuke, et al.. (2019). How to tune spindle size relative to cell size?. Current Opinion in Cell Biology. 60. 139–144. 4 indexed citations
8.
Ishihara, Keisuke, et al.. (2019). Field-Programmable Gate Array-Based Multichannel Measurement System for Interrogating Fiber Bragg Grating Sensors. IEEE Sensors Journal. 19(15). 6163–6172. 12 indexed citations
9.
Ishihara, Keisuke, Adrian Ranga, Matthias P. Lütolf, Elly M. Tanaka, & Andrea Meinhardt. (2017). Reconstitution of a Patterned Neural Tube from Single Mouse Embryonic Stem Cells. Methods in molecular biology. 1597. 43–55. 14 indexed citations
10.
Ishihara, Keisuke, Kirill S. Korolev, & Timothy J. Mitchison. (2016). Physical basis of large microtubule aster growth. eLife. 5. 40 indexed citations
11.
Wühr, Martin, Thomas Güttler, Leonid Peshkin, et al.. (2015). The Nuclear Proteome of a Vertebrate. Current Biology. 25(20). 2663–2671. 103 indexed citations
12.
Mitchison, Timothy J., Keisuke Ishihara, Phuong Nguyen, & Martin Wühr. (2015). Size Scaling of Microtubule Assemblies in EarlyXenopusEmbryos. Cold Spring Harbor Perspectives in Biology. 7(10). a019182–a019182. 28 indexed citations
13.
Field, Christine M., Phuong Nguyen, Keisuke Ishihara, Aaron C. Groen, & Timothy J. Mitchison. (2014). Xenopus Egg Cytoplasm with Intact Actin. Methods in enzymology on CD-ROM/Methods in enzymology. 540. 399–415. 31 indexed citations
14.
Groen, Aaron C., et al.. (2014). Glycogen-Supplemented Mitotic Cytosol for Analyzing Xenopus Egg Microtubule Organization. Methods in enzymology on CD-ROM/Methods in enzymology. 540. 417–433. 13 indexed citations
15.
Petry, Sabine, Aaron C. Groen, Keisuke Ishihara, Timothy J. Mitchison, & Ronald D. Vale. (2013). Branching Microtubule Nucleation in Xenopus Egg Extracts Mediated by Augmin and TPX2. Cell. 152(4). 768–777. 269 indexed citations
16.
Mitchison, Timothy J., Martin Wühr, Phuong Nguyen, et al.. (2012). Growth, interaction, and positioning of microtubule asters in extremely large vertebrate embryo cells. Cytoskeleton. 69(10). 738–750. 75 indexed citations
17.
Goso, Yukinobu, et al.. (2009). Evaluation of Conditions for Release of Mucin-Type Oligosaccharides from Glycoproteins by Hydrazine Gas Treatment. The Journal of Biochemistry. 145(6). 739–749. 9 indexed citations
18.
Ishihara, Keisuke, et al.. (2009). Synthesis of Fluvibactin. Synfacts. 2009(2). 127–127. 1 indexed citations
19.
Fujiyoshi, Kunihiro, Hiroshi Kawai, & Keisuke Ishihara. (2009). A Tree Based Novel Representation for 3D-Block Packing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 28(5). 759–764. 9 indexed citations
20.
Yoshida, Masahiro, et al.. (2000). Study of structural analysis by large scale parallel multibody dynamic simulation. 1081–1086 vol.2. 2 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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