Go Yamamoto

2.4k total citations
85 papers, 2.0k citations indexed

About

Go Yamamoto is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Go Yamamoto has authored 85 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Materials Chemistry, 27 papers in Biomedical Engineering and 22 papers in Mechanical Engineering. Recurrent topics in Go Yamamoto's work include Carbon Nanotubes in Composites (66 papers), Graphene research and applications (25 papers) and Nanotechnology research and applications (19 papers). Go Yamamoto is often cited by papers focused on Carbon Nanotubes in Composites (66 papers), Graphene research and applications (25 papers) and Nanotechnology research and applications (19 papers). Go Yamamoto collaborates with scholars based in Japan, South Korea and United States. Go Yamamoto's co-authors include Toshiyuki Hashida, Keiichi Shirasu, Hisamichi Kimura, Mika Omori, Tomonaga Okabe, Y. Inoue, Yoshinobu SHIMAMURA, Toshiyuki Takagi, Ning Hu and Hisao Fukunaga and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and ACS Nano.

In The Last Decade

Go Yamamoto

82 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Go Yamamoto Japan 25 1.3k 747 473 421 400 85 2.0k
Yasuyuki Agari Japan 25 1.7k 1.3× 1.1k 1.4× 555 1.2× 557 1.3× 729 1.8× 78 2.9k
Jinping Liang China 11 900 0.7× 381 0.5× 399 0.8× 218 0.5× 182 0.5× 18 1.2k
I. Seung South Korea 27 1.2k 1.0× 1.6k 2.1× 843 1.8× 259 0.6× 403 1.0× 71 2.7k
Yedong He China 28 1.6k 1.2× 1.2k 1.5× 301 0.6× 145 0.3× 672 1.7× 163 2.7k
Rubing Zhang China 29 760 0.6× 508 0.7× 497 1.1× 378 0.9× 164 0.4× 64 2.0k
Xiao Hou China 30 2.0k 1.5× 880 1.2× 165 0.3× 664 1.6× 803 2.0× 83 2.9k
Quangui Guo China 27 993 0.8× 1.3k 1.7× 523 1.1× 159 0.4× 208 0.5× 76 2.0k
Hansang Kwon South Korea 26 1.4k 1.1× 1.9k 2.5× 1.2k 2.6× 128 0.3× 389 1.0× 70 2.6k
Chan Bin Mo South Korea 17 808 0.6× 526 0.7× 316 0.7× 164 0.4× 126 0.3× 35 1.3k
Victor V. Tcherdyntsev Russia 27 927 0.7× 1.2k 1.6× 84 0.2× 287 0.7× 574 1.4× 119 2.1k

Countries citing papers authored by Go Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Go Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Go Yamamoto. A scholar is included among the top collaborators of Go Yamamoto 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 Go Yamamoto. Go Yamamoto 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.
Higuchi, Yuji, Yuta Hikima, Naoto Kamiuchi, et al.. (2025). Interfacial delamination between semicrystalline polymers and filler materials by coarse-grained molecular dynamics simulations. Polymer. 333. 128539–128539.
2.
Yamamoto, Go, H Oyamada, Satoshi Okamoto, et al.. (2025). Unravelling the role of inter CNT yarn–yarn interactions in governing the failure behavior in a unidirectional CNT yarn-reinforced plastic composite. Composites Science and Technology. 265. 111137–111137. 1 indexed citations
3.
Yamamoto, Go, et al.. (2024). Tensile strength prediction of unidirectional polyacrylonitrile (PAN)-based carbon fiber reinforced plastic composites considering stress distribution around fiber break points. Composites Part A Applied Science and Manufacturing. 183. 108234–108234. 8 indexed citations
5.
Yamamoto, Go, et al.. (2023). Decreasing vacancy-defect sensitivity in multi-walled carbon nanotubes through interwall coupling. Carbon Trends. 11. 100266–100266. 2 indexed citations
7.
Park, Hyunsoo, et al.. (2021). Measurements of the Electrical Conductivity of Monolayer Graphene Flakes Using Conductive Atomic Force Microscopy. Nanomaterials. 11(10). 2575–2575. 62 indexed citations
8.
Shirasu, Keiichi, et al.. (2021). Molecular Dynamics Simulations and Theoretical Model for Engineering Tensile Properties of Single-and Multi-Walled Carbon Nanotubes. Nanomaterials. 11(3). 795–795. 21 indexed citations
9.
Yi, Xiang & Go Yamamoto. (2021). A Data Mining Approach to Investigate the Carbon Nanotubes Mechanical Properties via High-Throughput Molecular Simulation. Materials science forum. 1023. 29–36. 5 indexed citations
10.
Yi, Xiang, Koji Shimoyama, Keiichi Shirasu, & Go Yamamoto. (2020). Machine Learning-Assisted High-Throughput Molecular Dynamics Simulation of High-Mechanical Performance Carbon Nanotube Structure. Nanomaterials. 10(12). 2459–2459. 21 indexed citations
11.
Yamamoto, Go, et al.. (2020). Tensile-strength-controlling factors in unidirectional carbon fiber reinforced plastic composites. Composites Part A Applied Science and Manufacturing. 140. 106140–106140. 19 indexed citations
12.
Yamamoto, Go, et al.. (2019). Considering the stress concentration of fiber surfaces in the prediction of the tensile strength of unidirectional carbon fiber-reinforced plastic composites. Composites Part A Applied Science and Manufacturing. 121. 499–509. 42 indexed citations
13.
Nam, Tran Huu, Ken Goto, Yoshinobu SHIMAMURA, et al.. (2019). Effects of high-temperature thermal annealing on properties of aligned multi-walled carbon nanotube sheets and their composites. Composite Interfaces. 27(6). 569–586. 8 indexed citations
14.
Shirasu, Keiichi, et al.. (2017). FRICTION AND WEAR PROPERTIES OF CARBON NANOTUBE/ALUMINA COMPOSITES UNDER WATER LUBRICATED CONDITIONS. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
15.
Shirasu, Keiichi, Takamichi Miyazaki, Go Yamamoto, et al.. (2017). Key factors limiting carbon nanotube strength: Structural characterization and mechanical properties of multi-walled carbon nanotubes. SHILAP Revista de lepidopterología. 4(5). 17–29. 17 indexed citations
16.
17.
Yamamoto, Go, et al.. (2014). Microstructure–property relationships in pressureless-sintered carbon nanotube/alumina composites. Materials Science and Engineering A. 617. 179–186. 37 indexed citations
18.
Yamamoto, Go, et al.. (2013). Effects of polytetrafluoroethylene or polyimide coating on H2 sensing properties of anodized TiO2 films equipped with Pd–Pt electrodes. Sensors and Actuators B Chemical. 183. 253–264. 25 indexed citations
19.
Yamamoto, Go, et al.. (2008). Preparation of Carbon Nanotube—Toughened Alumina Composites. AIP conference proceedings. 987. 83–85. 5 indexed citations
20.
Yamamoto, Go, Yoshinori Sato, Toru Takahashi, et al.. (2007). Mechanical Properties of Single-Walled Carbon Nanotube Solids Prepared by Spark Plasma Sintering. Journal of Solid Mechanics and Materials Engineering. 1(7). 854–863. 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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