Katsuyuki Kunida

720 total citations
18 papers, 504 citations indexed

About

Katsuyuki Kunida is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Katsuyuki Kunida has authored 18 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Biophysics and 4 papers in Cell Biology. Recurrent topics in Katsuyuki Kunida's work include Gene Regulatory Network Analysis (8 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Cellular Mechanics and Interactions (4 papers). Katsuyuki Kunida is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), Advanced Fluorescence Microscopy Techniques (4 papers) and Cellular Mechanics and Interactions (4 papers). Katsuyuki Kunida collaborates with scholars based in Japan, United States and France. Katsuyuki Kunida's co-authors include Kazuhiro Aoki, Michiyuki Matsuda, Masashi Yamada, Shuhei Yasuda, Shinya Kuroda, Hiroyuki Kubota, Takeaki Ozawa, Akira Kanno, Honda Naoki and Shin Ishii and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Katsuyuki Kunida

17 papers receiving 497 citations

Peers

Countries citing papers authored by Katsuyuki Kunida

Since Specialization

Citations

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

Fields of papers citing papers by Katsuyuki Kunida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuyuki Kunida

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	A hybrid in silico/in-cell controller that handles process-model mismatches using intracellular biosensing 2024 ·Scientific Reports ·(unknown), Yuichi Sakumura, Fuzhong Zhang, Katsuyuki Kunida	1
2	A hybrid in silico/in-cell controller for microbial bioprocesses with process-model mismatch 2023 ·Scientific Reports ·(unknown), Yuki Soma, Yuichi Sakumura, Taizo Hanai, Katsuyuki Kunida	5
3	Extracting quantitative relationships between cell motility and molecular activities (Analytical approaches and implications) 2023 ·SHILAP Revista de lepidopterología ·Yuichi Sakumura, Katsuyuki Kunida	0
4	On-Line Reoptimization of Mammalian Fed-Batch Culture Using a Nonlinear Model Predictive Controller 2023 ·New Generation Computing ·(unknown), Yuichi Sakumura, Katsuyuki Kunida	4
5	Decoding cellular deformation from pseudo-simultaneously observed Rho GTPase activities 2023 ·Cell Reports ·Katsuyuki Kunida, (unknown), Kazuhiro Aoki, Kazushi Ikeda, Takeshi Nakamura, Yuichi Sakumura	1
6	Trans-omic Analysis Reveals ROS-Dependent Pentose Phosphate Pathway Activation after High-Frequency Electrical Stimulation in C2C12 Myotubes 2020 ·iScience ·Daisuke Hoshino, Kentaro Kawata, Katsuyuki Kunida, Atsushi Hatano, Katsuyuki Yugi, (unknown), Masashi Fujii, Takanori Sano, Yuki Ito, Yasuro Furuichi, Yasuko Manabe, Yutaka Suzuki, Nobuharu Fujii, Tomoyoshi Soga, Shinya Kuroda	19
7	Single-Cell Information Analysis Reveals That Skeletal Muscles Incorporate Cell-to-Cell Variability as Information Not Noise 2020 ·Cell Reports ·(unknown), Ken‐ichi Hironaka, (unknown), Masashi Fujii, Miki Eto, Shinsuke Uda, Daisuke Hoshino, Katsuyuki Kunida, (unknown), Hiroyuki Kubota, (unknown), (unknown), Hirofumi Nakatomi, Nobuhito Saito, (unknown), Yasuro Furuichi, Yasuko Manabe, Nobuharu Fujii, Shinya Kuroda	16
8	Monitoring and mathematical modeling of mitochondrial ATP in myotubes at single‐cell level reveals two distinct population with different kinetics 2020 ·Quantitative Biology ·Naoki Matsuda, Ken‐ichi Hironaka, Masashi Fujii, (unknown), Katsuyuki Kunida, (unknown), Miki Eto, Daisuke Hoshino, Yasuro Furuichi, Yasuko Manabe, Nobuharu Fujii, Hiroyuki Noji, Hiromi Imamura, Shinya Kuroda	4
9	Automatic Quantitative Segmentation of Myotubes Reveals Single-cell Dynamics of S6 Kinase Activation 2018 ·Cell Structure and Function ·(unknown), Katsuyuki Kunida, Naoki Matsuda, Daisuke Hoshino, (unknown), Hiromi Imamura, Hiroyuki Noji, Shinya Kuroda	4
10	System identification of signaling dependent gene expression with different time-scale data 2017 ·PLoS Computational Biology ·Takaho Tsuchiya, Masashi Fujii, Naoki Matsuda, Katsuyuki Kunida, Shinsuke Uda, Hiroyuki Kubota, (unknown), Shinya Kuroda	4
11	Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling 2016 ·Cell Reports ·Sarah Filippi, C. Barnes, Paul Kirk, Takamasa Kudo, Katsuyuki Kunida, Siobhán S. McMahon, Takaho Tsuchiya, (unknown), Shinya Kuroda, Michael P. H. Stumpf	45
12	Selective control of up-regulated and down-regulated genes by temporal patterns and doses of insulin 2016 ·Science Signaling ·Takanori Sano, Kentaro Kawata, Satoshi Ohno, Katsuyuki Yugi, (unknown), Hiroyuki Kubota, Shinsuke Uda, Masashi Fujii, Katsuyuki Kunida, Daisuke Hoshino, Atsushi Hatano, Yuki Ito, (unknown), Yutaka Suzuki, Shinya Kuroda	18
13	An optogenetic system for interrogating the temporal dynamics of Akt 2015 ·Scientific Reports ·(unknown), Hiroyuki Kubota, Katsuyuki Kunida, Akira Kanno, Shinya Kuroda, Takeaki Ozawa	45
14	Distinct predictive performance of Rac1 and Cdc42 in cell migration 2015 ·Scientific Reports ·(unknown), Honda Naoki, Katsuyuki Kunida, Kazuhiro Aoki, Michiyuki Matsuda, Shin Ishii	40
15	Reconstruction of Insulin Signal Flow from Phosphoproteome and Metabolome Data 2014 ·Cell Reports ·Katsuyuki Yugi, Hiroyuki Kubota, Yu Toyoshima, (unknown), Kentaro Kawata, Yasunori Komori, Shinsuke Uda, Katsuyuki Kunida, (unknown), Yosuke Funato, Hiroaki Miki, Masaki Matsumoto, Keiichi I. Nakayama, Kasumi Kashikura, Keiko Endo, Kazutaka Ikeda, Tomoyoshi Soga, Shinya Kuroda	66
16	FRET imaging and statistical signal processing reveal positive and negative feedback loops regulating the morphology of randomly migrating HT-1080 cells. 2012 ·Journal of Cell Science ·Katsuyuki Kunida, Michiyuki Matsuda, Kazuhiro Aoki	27
17	SH3BP1, an Exocyst-Associated RhoGAP, Inactivates Rac1 at the Front to Drive Cell Motility 2011 ·Molecular Cell ·Maria Carla Parrini, (unknown), Kazuhiro Aoki, Katsuyuki Kunida, Marco Biondini, Anastassia Hatzoglou, Patrick Poullet, Étienne Formstecher, Charles Yeaman, Michiyuki Matsuda, Carine Rossé, Jacques Camonis	61
18	Processive phosphorylation of ERK MAP kinase in mammalian cells 2011 ·Proceedings of the National Academy of Sciences ·Kazuhiro Aoki, Masashi Yamada, Katsuyuki Kunida, Shuhei Yasuda, Michiyuki Matsuda	144

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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