Teppei Matsui

1.7k citations
48 papers · 1.2k indexed · h-index 21

Teppei Matsui

44 papers receiving 1.2k citations

Peers

Teppei Matsui
Comparison fields: 5 of 109
  • Cognitive Neuroscience 693
  • Energy Engineering and Power Technology 69
  • Renewable Energy, Sustainability and the Environment 216
  • Cellular and Molecular Neuroscience 229
  • Catalysis 77
Replace Zili Liu with:
Zili Liu United States
Zhipeng Liu China
Hai Chen China
Hirohiko Kaneko Japan
Guoyang Liu China
Huifang Wang China
Francesco Maita Italy
J.-U. Meyer Germany
Teppei Matsui relative to Zili Liu United States Zili Liu's profile →
Citations per field
00.5×10×17.3×
Zili Liu · 1×
Citations per year

Countries citing papers authored by Teppei Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Teppei Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Teppei Matsui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Teppei Matsui Line = papers co-authored together Teppei Matsui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20234
4 20232
5 20231
6 202212
7 202224
8 202221
9 20227
10 201824
11 201737
12 201623
13 201536
14 201326
15 201330
16 201219
17 2011164
18 201169
19 201014
20
Analysis of high-burnup fuel performance during load-follow operation
19871

About Teppei Matsui

Teppei Matsui is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, General Decision Sciences, Electrochemistry and Renewable Energy, Sustainability and the Environment, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Functional Brain Connectivity Studies (16 papers), Neuroscience and Neuropharmacology Research (6 papers), Electrocatalysts for Energy Conversion (5 papers), Visual perception and processing mechanisms (5 papers), Advanced MRI Techniques and Applications (5 papers), Photoreceptor and optogenetics research (4 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Cognitive Neuroscience (693 citations), Energy Engineering and Power Technology (69 citations), Renewable Energy, Sustainability and the Environment (216 citations), Cellular and Molecular Neuroscience (229 citations) and Catalysis (77 citations). Teppei Matsui has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kenichi Ohki, Tomonari Murakami, Yasushi Miyashita, Naokazu Kumagai, Kōji Hashimoto, H. Habazaki, A. Kawashima, Takahiro Osada, Yusuke Adachi and Kentaro Miyamoto. Their work appears in journals such as Cerebral Cortex, Frontiers in Neural Circuits, Materials Science and Engineering A, NeuroImage and Neuron.

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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