Takao Ono

2.4k total citations
97 papers, 1.8k citations indexed

About

Takao Ono is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Takao Ono has authored 97 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 26 papers in Materials Chemistry and 21 papers in Biomedical Engineering. Recurrent topics in Takao Ono's work include Graphene research and applications (23 papers), DNA Repair Mechanisms (11 papers) and Influenza Virus Research Studies (9 papers). Takao Ono is often cited by papers focused on Graphene research and applications (23 papers), DNA Repair Mechanisms (11 papers) and Influenza Virus Research Studies (9 papers). Takao Ono collaborates with scholars based in Japan, Egypt and United States. Takao Ono's co-authors include Kazuhiko Matsumoto, S. Okada, Yorinao Inoue, Yasushi Kanai, Satoshi Okuda, Masaaki Shimatani, Г. Ренгер, M. Völker, Shinpei Ogawa and Jean‐Luc Zimmermann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Physical review. B, Condensed matter.

In The Last Decade

Takao Ono

92 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takao Ono Japan 26 918 369 357 285 218 97 1.8k
Hennady P. Shulha United States 27 2.1k 2.2× 190 0.5× 164 0.5× 91 0.3× 231 1.1× 52 3.2k
Yuxiang Zhou China 27 699 0.8× 526 1.4× 662 1.9× 614 2.2× 209 1.0× 88 2.7k
Yusuke Yoshida Japan 24 570 0.6× 161 0.4× 272 0.8× 231 0.8× 42 0.2× 145 1.9k
Yihua Zhao China 27 933 1.0× 730 2.0× 766 2.1× 258 0.9× 119 0.5× 61 3.3k
Stuart C. Howes Netherlands 17 1.7k 1.9× 911 2.5× 156 0.4× 207 0.7× 74 0.3× 26 2.8k
Luda S. Shlyakhtenko United States 37 2.8k 3.1× 551 1.5× 213 0.6× 538 1.9× 86 0.4× 78 4.2k
Gunter Reekmans Belgium 25 1.6k 1.7× 655 1.8× 380 1.1× 529 1.9× 109 0.5× 64 2.8k
Antonio Virgilio Failla Germany 24 539 0.6× 516 1.4× 198 0.6× 161 0.6× 91 0.4× 65 1.5k
Qiaojun Fang China 30 1.1k 1.2× 741 2.0× 811 2.3× 335 1.2× 179 0.8× 109 3.0k

Countries citing papers authored by Takao Ono

Since Specialization
Citations

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

Fields of papers citing papers by Takao Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Ono

This figure shows the co-authorship network connecting the top 25 collaborators of Takao Ono. A scholar is included among the top collaborators of Takao Ono 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 Takao Ono. Takao Ono 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.
Ono, Takao, Satoshi Okuda, Shota Ushiba, Yasushi Kanai, & Kazuhiko Matsumoto. (2024). Challenges for Field-Effect-Transistor-Based Graphene Biosensors. Materials. 17(2). 333–333. 28 indexed citations
2.
Ushiba, Shota, et al.. (2024). Graphene Field-Effect Transistors with Surface-Charge Modulation for C-Reactive Protein Detection in Artificial Saliva. SHILAP Revista de lepidopterología. 92(3). 37006–37006. 5 indexed citations
3.
Ohnishi, Eriko, Takao Ono, Yasushi Kanai, et al.. (2024). Great enhancement of sensitivity for SARS-CoV-2 detection by integrated graphene FET biosensor using ζ potential modulator. Japanese Journal of Applied Physics. 63(3). 03SP14–03SP14.
4.
Ushiba, Shota, et al.. (2024). Drift suppression of solution-gated graphene field-effect transistors through electrolyte submersion. Applied Physics Express. 17(4). 45002–45002. 3 indexed citations
5.
Ushiba, Shota, et al.. (2023). Semi-quantitative graphene chemiresistor enzyme immunoassay for simple and sensitive antigen detection. Microchemical Journal. 196. 109594–109594. 8 indexed citations
6.
Ono, Takao, Yasushi Kanai, Shin‐ichi Nakakita, et al.. (2023). Elastomer-coated graphene biosensor and its response to enzymatic reactions. Japanese Journal of Applied Physics. 62(6). 67002–67002. 6 indexed citations
7.
Ushiba, Shota, Tadashi Kato, Takao Ono, et al.. (2023). Biosensing with Surface-Charge-Modulated Graphene Field-Effect Transistors beyond Nonlinear Electrolytic Screening. ACS Omega. 8(51). 49270–49277. 8 indexed citations
8.
Sugahara, Tohru, Jun‐ichi Nakamura, Takao Ono, et al.. (2023). Carrier-Type Switching with Gas Detection Using a Low-Impedance Hybrid Sensor of 2D Graphene Layer and MoOx Nanorod 3D Network. ACS Applied Engineering Materials. 1(4). 1086–1092. 5 indexed citations
9.
Arai, Yasuha, Daisuke Kuroda, Nobuaki Okumura, et al.. (2022). ACE2 N-glycosylation modulates interactions with SARS-CoV-2 spike protein in a site-specific manner. Communications Biology. 5(1). 1188–1188. 26 indexed citations
10.
Ushiba, Shota, et al.. (2022). Robust graphene field-effect transistor biosensors via hydrophobization of SiO2 substrates. Applied Physics Express. 15(11). 115002–115002. 11 indexed citations
11.
Arai, Yasuha, Norihito Kawashita, Tomo Daidoji, et al.. (2021). Double mutations in the H9N2 avian influenza virus PB2 gene act cooperatively to increase viral host adaptation and replication for human infections. Journal of General Virology. 102(6). 4 indexed citations
12.
Ushiba, Shota, Naoya Ito, T Okino, et al.. (2021). Deep-learning-based semantic image segmentation of graphene field-effect transistors. Applied Physics Express. 14(3). 36504–36504. 14 indexed citations
13.
Ushiba, Shota, et al.. (2021). Drift Suppression of Solution-Gated Graphene Field-Effect Transistors by Cation Doping for Sensing Platforms. Sensors. 21(22). 7455–7455. 16 indexed citations
14.
Kawahara, Toshio, Hiroaki Hiramatsu, Yuhsuke Ohmi, et al.. (2019). Effective binding of sugar chains to influenza virus on the surface by bovine serum albumin localization. Japanese Journal of Applied Physics. 58(SI). SIID03–SIID03.
15.
Ushiba, Shota, T Okino, Takao Ono, et al.. (2019). State-space modeling for dynamic response of graphene FET biosensors. Japanese Journal of Applied Physics. 59(SG). SGGH04–SGGH04. 17 indexed citations
16.
Ono, Takao, Yasushi Kanai, Koichi Inoue, et al.. (2019). Electrical Biosensing at Physiological Ionic Strength Using Graphene Field-Effect Transistor in Femtoliter Microdroplet. Nano Letters. 19(6). 4004–4009. 62 indexed citations
17.
Sriwilaijaroen, Nongluk, Shin‐ichi Nakakita, Sachiko Kondo, et al.. (2018). N‐glycan structures of human alveoli provide insight into influenza A virus infection and pathogenesis. FEBS Journal. 285(9). 1611–1634. 25 indexed citations
18.
Ushiba, Shota, Takao Ono, Yasushi Kanai, et al.. (2018). Graphene as an Imaging Platform of Charged Molecules. ACS Omega. 3(3). 3137–3142. 21 indexed citations
19.
Ono, Takao & S. Okada. (1978). Does the Capacity to Rejoin Radiation-induced DNA Breaks Decline in Senescent Mice?. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 33(4). 403–407. 17 indexed citations
20.
Ono, Takao & S. Okada. (1976). Radiation-induced DNA scissions and their rejoining in testicular cells of mouse. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 36(2). 213–221. 21 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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