Takuya Hayashi

13.8k total citations · 6 hit papers
207 papers, 11.4k citations indexed

About

Takuya Hayashi is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Takuya Hayashi has authored 207 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Materials Chemistry, 57 papers in Electrical and Electronic Engineering and 51 papers in Biomedical Engineering. Recurrent topics in Takuya Hayashi's work include Carbon Nanotubes in Composites (117 papers), Graphene research and applications (111 papers) and Advancements in Battery Materials (30 papers). Takuya Hayashi is often cited by papers focused on Carbon Nanotubes in Composites (117 papers), Graphene research and applications (111 papers) and Advancements in Battery Materials (30 papers). Takuya Hayashi collaborates with scholars based in Japan, United States and South Korea. Takuya Hayashi's co-authors include Morinobu Endo, Yoong Ahm Kim, Mauricio Terrones, Hiroyuki Muramatsu, M. S. Dresselhaus, Humberto Terrones, Pulickel M. Ajayan, Li Song, Wei Gao and Rodolfo Cruz‐Silva 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

Takuya Hayashi

199 papers receiving 11.2k citations

Hit Papers

Graphene Quantum Dots Der... 2009 2026 2014 2020 2012 2009 2014 2012 2013 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Takuya Hayashi 8.2k 3.2k 3.1k 1.4k 945 207 11.4k
Muhammet S. Toprak 6.5k 0.8× 2.5k 0.8× 2.9k 0.9× 2.6k 1.8× 540 0.6× 306 11.2k
Tae Hee Han 5.7k 0.7× 4.8k 1.5× 3.1k 1.0× 2.4k 1.7× 672 0.7× 159 10.6k
Joseph G. Shapter 6.7k 0.8× 6.1k 1.9× 4.1k 1.3× 1.4k 1.0× 1.1k 1.2× 333 13.6k
Emmanuel Flahaut 8.4k 1.0× 3.1k 1.0× 4.0k 1.3× 1.8k 1.3× 614 0.6× 306 12.7k
Cecilia Mattevi 11.3k 1.4× 5.3k 1.6× 5.6k 1.8× 2.6k 1.8× 604 0.6× 88 15.2k
Jianwei Liu 5.3k 0.7× 4.9k 1.5× 3.0k 1.0× 2.3k 1.6× 707 0.7× 278 11.2k
Alamgir Karim 6.1k 0.7× 2.8k 0.9× 4.3k 1.4× 1.2k 0.9× 690 0.7× 319 13.3k
Jinhua Li 5.6k 0.7× 6.1k 1.9× 2.5k 0.8× 1.8k 1.3× 1.1k 1.1× 342 12.8k
Haisheng Qian 6.7k 0.8× 2.3k 0.7× 4.5k 1.5× 2.0k 1.4× 1.4k 1.4× 237 11.7k
Kai Zhang 8.7k 1.1× 2.7k 0.8× 2.4k 0.8× 1.0k 0.7× 1.7k 1.8× 216 12.8k

Countries citing papers authored by Takuya Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Hayashi. A scholar is included among the top collaborators of Takuya Hayashi 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 Takuya Hayashi. Takuya Hayashi 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.
Koike, Shinsuke, Saori Tanaka, & Takuya Hayashi. (2025). Beyond case-control study in neuroimaging for psychiatric disorders: Harmonizing and utilizing the brain images from multiple sites. Neuroscience & Biobehavioral Reviews. 171. 106063–106063.
2.
Saeki, Daisuke, Yoshiyuki Hattori, Takuya Hayashi, et al.. (2025). Positron annihilation lifetime spectroscopy for ultramicroporosimetry of porous carbons. Carbon. 245. 120825–120825.
3.
Hayashi, Takuya, et al.. (2024). Machine-Learning driven STM images prediction of doped/defective graphene: Towards optimized tools for 2D nanomaterials characterization. Computational Materials Science. 242. 113076–113076. 3 indexed citations
4.
Hayashi, Takuya, Kazuhiro Nogawa, Teruhiko Kido, et al.. (2024). Benchmark Dose of Urinary Cadmium for Assessing Renal Tubular and Glomerular Function in a Cadmium-Polluted Area of Japan. Toxics. 12(12). 836–836. 5 indexed citations
5.
Nagata, Yuki, et al.. (2023). Designed Production of Atomic-Scale Nanowindows in Single-Walled Carbon Nanotubes. Langmuir. 39(16). 5911–5916. 2 indexed citations
7.
Bairi, Partha, et al.. (2022). Effect of Pretreatment Conditions on the Precise Nanoporosity of Graphene Oxide. Langmuir. 38(50). 15880–15886. 1 indexed citations
8.
Kukobat, Radovan, Motomu Sakai, Hideki Tanaka, et al.. (2022). Ultrapermeable 2D-channeled graphene-wrapped zeolite molecular sieving membranes for hydrogen separation. Science Advances. 8(20). eabl3521–eabl3521. 39 indexed citations
10.
Kowalczyk, Piotr, Jacob J. K. Kirkensgaard, Artur P. Terzyk, et al.. (2020). Reconstructing the fractal clusters of detonation nanodiamonds from small-angle X-ray scattering. Carbon. 169. 349–356. 9 indexed citations
11.
Ahuja, Preety, Sanjeev Kumar Ujjain, Radovan Kukobat, et al.. (2019). A water-resilient carbon nanotube based strain sensor for monitoring structural integrity. Journal of Materials Chemistry A. 7(34). 19996–20005. 40 indexed citations
12.
Hayashi, Takuya, Issei Watanabe, Yoshimi Yamashita, et al.. (2019). Improved Electron Transport Properties of Ga1–xInxSb Quantum Well Channel Using Strained‐Al0.40In0.60Sb/Al1–yInySb Stepped Buffer. physica status solidi (a). 217(3). 1 indexed citations
13.
Hayashi, Takuya, Yu Wang, Mami Tanaka, et al.. (2017). Isolation of aquatic yeasts with the ability to neutralize acidic media, from an extremely acidic river near Japan's Kusatsu-Shirane Volcano. Journal of Bioscience and Bioengineering. 124(1). 43–46. 7 indexed citations
14.
Muramatsu, Hiroyuki, Yoong Ahm Kim, & Takuya Hayashi. (2016). Synthesis and characterization of graphene from rice husks. TANSO. 2016(275). 182–190. 6 indexed citations
15.
Saitoh, Tatsuya, Naonobu Fujita, Takuya Hayashi, et al.. (2009). Atg9a controls dsDNA-driven dynamic translocation of STING and the innate immune response. Proceedings of the National Academy of Sciences. 106(49). 20842–20846. 675 indexed citations breakdown →
16.
Muramatsu, Hiroyuki, Yoong Ahm Kim, Takuya Hayashi, Daisuke Shimamoto, & Morinobu Endo. (2006). Synthesis of carbon nanotubes by CCVD method. TANSO. 2006(225). 347–354. 1 indexed citations
17.
Oshida, Kyoichi, et al.. (2002). Heat Treatment Conditions of Polyparaphenylene-based Carbon for Negative Electrode of Lithium Ion Secondary Batteries. TANSO. 2002(205). 255–259. 2 indexed citations
18.
Terrones, Mauricio, Takuya Hayashi, Kunio Nishimura, et al.. (2000). Carbon Nanotubes and Nanofibres: Exotic Materials of Carbon. TANSO. 2000(195). 424–433. 2 indexed citations
19.
Endo, Morinobu, Chan Kim, Kazuyuki Miyashita, et al.. (2000). Microstructure and Electrochemical Properties of Various Carbon Materials in Li-ion Secondary Batteries. TANSO. 2000(193). 209–217. 1 indexed citations
20.
Hayashi, Takuya & Morinobu Endo. (1999). Characterization of Novel Carbon Materials Using EELS. TANSO. 1999(190). 320–323. 1 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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