Hitoshi Shiku

10.3k total citations
320 papers, 8.5k citations indexed

About

Hitoshi Shiku is a scholar working on Electrochemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Hitoshi Shiku has authored 320 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Electrochemistry, 144 papers in Biomedical Engineering and 106 papers in Molecular Biology. Recurrent topics in Hitoshi Shiku's work include Electrochemical Analysis and Applications (144 papers), Analytical Chemistry and Sensors (101 papers) and Neuroscience and Neural Engineering (69 papers). Hitoshi Shiku is often cited by papers focused on Electrochemical Analysis and Applications (144 papers), Analytical Chemistry and Sensors (101 papers) and Neuroscience and Neural Engineering (69 papers). Hitoshi Shiku collaborates with scholars based in Japan, United States and France. Hitoshi Shiku's co-authors include Tomokazu Matsue, Kosuke Ino, Tomoyuki Yasukawa, Yasufumi Takahashi, Javier Ramón‐Azcón, Yuji Nashimoto, Samad Ahadian, Kumi Y. Inoue, Ali Khademhosseini and Isamu Uchida and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Hitoshi Shiku

311 papers receiving 8.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hitoshi Shiku Japan 48 4.0k 3.2k 2.3k 2.2k 2.1k 320 8.5k
Tomokazu Matsue Japan 58 4.7k 1.2× 5.1k 1.6× 3.6k 1.6× 4.3k 1.9× 2.5k 1.2× 413 12.5k
Matsuhiko Nishizawa Japan 54 3.2k 0.8× 1.4k 0.4× 814 0.3× 4.2k 1.9× 1.1k 0.5× 263 8.7k
Kosuke Ino Japan 35 2.2k 0.5× 1.2k 0.4× 935 0.4× 934 0.4× 1.2k 0.6× 179 4.0k
Fotios Papadimitrakopoulos United States 48 2.7k 0.7× 631 0.2× 585 0.2× 3.9k 1.8× 1.4k 0.7× 152 8.5k
Róisı́n M. Owens United Kingdom 48 4.3k 1.1× 678 0.2× 2.3k 1.0× 5.0k 2.3× 1.2k 0.6× 152 9.6k
Michael V. Pishko United States 43 2.6k 0.6× 428 0.1× 1.1k 0.5× 1.8k 0.8× 1.1k 0.5× 106 5.8k
Nadine Wong Shi Kam United States 17 5.2k 1.3× 293 0.1× 295 0.1× 1.4k 0.7× 2.2k 1.1× 17 9.1k
Uwe Schnakenberg Germany 32 1.5k 0.4× 306 0.1× 381 0.2× 1.5k 0.7× 495 0.2× 155 3.4k
Christophe A. Marquette France 37 2.6k 0.6× 545 0.2× 388 0.2× 1.2k 0.5× 2.3k 1.1× 156 4.7k
Xiaochen Dong China 49 5.5k 1.4× 350 0.1× 330 0.1× 2.8k 1.3× 2.3k 1.1× 108 10.4k

Countries citing papers authored by Hitoshi Shiku

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Shiku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Shiku

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Shiku. A scholar is included among the top collaborators of Hitoshi Shiku 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 Hitoshi Shiku. Hitoshi Shiku 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.
Ye, Songbo, Heng Liu, Di Zhang, et al.. (2025). Decoding pH-dependent electrocatalysis through electric field models and microkinetic volcanoes. Journal of Materials Chemistry A. 13(44). 37821–37832. 1 indexed citations
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Ino, Kosuke, et al.. (2024). Porous membranes integrated into electrochemical systems for bioanalysis. SHILAP Revista de lepidopterología. 4(6). 4 indexed citations
4.
Kumatani, Akichika, Takahiko Endo, Hiroki Ida, et al.. (2024). Emergence of electrochemical catalytic activity via an electrochemical-probe on defective transition metal dichalcogenide nanosheets. SHILAP Revista de lepidopterología. 2(1). 4 indexed citations
5.
Ino, Kosuke, Yusuke Kanno, Takasi Nisisako, et al.. (2024). Extended Spherical Diffusion Theory: Electrochemiluminescence Imaging Analysis of Diffusive Molecules from Spherical Biosamples. Analytical Chemistry. 96(48). 18967–18976. 3 indexed citations
6.
Kumatani, Akichika, Hiroki Ida, Yasufumi Takahashi, et al.. (2024). Comprehensive electrochemical imaging analyses of redox activities correlated to multilayer graphene and graphite structures. Electrochimica Acta. 499. 144688–144688. 3 indexed citations
7.
Kurita, Hiroki, Kumi Y. Inoue, Zhenjin Wang, et al.. (2023). Energy-harvesting and mass sensor performances of magnetostrictive cobalt ferrite-spattered Fe–Co alloy plate. Journal of Alloys and Compounds. 951. 169844–169844. 10 indexed citations
8.
Hiramoto, Kaoru, et al.. (2023). Evaluation of respiratory and secretory activities of multicellular spheroids via electrochemiluminescence imaging. Electrochimica Acta. 458. 142507–142507. 9 indexed citations
9.
Inoue, Kumi Y., et al.. (2023). Droplet-free digital immunoassay based on electrochemiluminescence. Biosensors and Bioelectronics X. 13. 100312–100312. 2 indexed citations
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Ino, Kosuke, et al.. (2023). Electrochemical imaging for cell analysis in microphysiological systems. Current Opinion in Electrochemistry. 39. 101270–101270. 9 indexed citations
13.
Ino, Kosuke, Kaoru Hiramoto, Kazuyuki Iwase, et al.. (2023). Vasculature-on-a-Chip with a Porous Membrane Electrode for In Situ Electrochemical Detection of Nitric Oxide Released from Endothelial Cells. Analytical Chemistry. 95(49). 18158–18165. 6 indexed citations
14.
Hiramoto, Kaoru, Kazuyuki Iwase, Yuji Nashimoto, et al.. (2022). Electrochemical microwell sensor with Fe–N co-doped carbon catalyst to monitor nitric oxide release from endothelial cell spheroids. Analytical Sciences. 38(10). 1297–1304. 4 indexed citations
15.
Guo, Yuanyuan, et al.. (2021). Thermally‐Drawn Multi‐Electrode Fibers for Bipolar Electrochemistry and Magnified Electrochemical Imaging. Advanced Materials Technologies. 7(5). 12 indexed citations
16.
Nashimoto, Yuji, et al.. (2021). Ion Conductance-Based Perfusability Assay of Vascular Vessel Models in Microfluidic Devices. Micromachines. 12(12). 1491–1491. 2 indexed citations
17.
Ino, Kosuke, Yusuke Kanno, Yuta Yamada, Hitoshi Shiku, & Tomokazu Matsue. (2017). Binary-number-based digital electrochemical detection using a single working electrode with multiple sensors. Electrochemistry Communications. 77. 76–80. 3 indexed citations
18.
Zhou, Yuanshu, et al.. (2015). Metabolic suppression during mesodermal differentiation of embryonic stem cells identified by single-cell comprehensive gene expression analysis. Molecular BioSystems. 11(9). 2560–2567. 11 indexed citations
19.
Ahadian, Samad, Mehdi Estili, Surya Velappa Jayaraman, et al.. (2015). Facile and green production of aqueous graphene dispersions for biomedical applications. Nanoscale. 7(15). 6436–6443. 106 indexed citations
20.
Shiku, Hitoshi, Toshiharu Arai, Yuanshu Zhou, et al.. (2013). Noninvasive measurement of respiratory activity of mouse embryoid bodies and its correlation with mRNA levels of undifferentiation/differentiation markers. Molecular BioSystems. 9(11). 2701–2711. 14 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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