Hideki Matsui

9.8k citations
225 papers · 8.1k · h-index 46

Impact in

Papers in

    • RNA Interference and Gene Delivery 23
    • Signaling Pathways in Disease 18
    • Fusion materials and technologies 27
    • Nuclear Materials and Properties 19

Hideki Matsui

222 papers receiving 7.9k citations

Peers

Hideki Matsui
Comparison fields: 5 of 144
  • Cellular and Molecular Neuroscience 1.5k
  • Developmental Neuroscience 299
  • Cell Biology 952
  • Molecular Biology 3.9k
  • Behavioral Neuroscience 177
Replace Hong Yi with:
Hong Yi China
Hisashi Mori Japan
Hiroshi Ichinose Japan
Joachim Wolff Germany
Kazuhito Tomizawa Japan
Yoshihiro Ishikawa Japan
Woong Sun South Korea
Takafumi Inoue Japan
Thomas A. Neubert United States
Masahiro Sokabe Japan
Hideki Matsui relative to Hong Yi China Hong Yi's profile →
Citations per field
00.5×2.6×
Hong Yi · 1×
Citations per year

Countries citing papers authored by Hideki Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideki 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 Hideki Matsui Line = papers co-authored together Hideki Matsui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008363
2 1995310
3 2003304
4 1995290
5 2004235
6 1999221
7 2011202
8 2004199
9 2002170
10 2010167
11 2003160
12 2005157
13 2005157
14 2014154
15 2001143
16 2004115
17 2009106
18 200099
19 201192
20 201191

About Hideki Matsui

Hideki Matsui is a scholar working on Molecular Biology, Materials Chemistry, Cellular and Molecular Neuroscience, Cell Biology and Genetics, having authored 225 papers that have together received 8.1k indexed citations. Recurring topics across this work include Fusion materials and technologies (27 papers), Neuroscience and Neuropharmacology Research (23 papers), RNA Interference and Gene Delivery (23 papers), Nuclear Materials and Properties (19 papers), Signaling Pathways in Disease (18 papers), Hydrogen embrittlement and corrosion behaviors in metals (11 papers), Cellular transport and secretion (11 papers) and Virus-based gene therapy research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Developmental Neuroscience (299 citations), Cell Biology (952 citations), Molecular Biology (3.9k citations) and Behavioral Neuroscience (177 citations). Hideki Matsui has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kazuhito Tomizawa, Masayuki Matsushita, Yun-Fei Lu, Akiyoshi Moriwaki, Sheng‐Tian Li, Osamu Hatase, Hiroyuki Michiue, Fan‐Yan Wei, Toshifumi Itano and Tei‐ichi Nishiki. Their work appears in journals such as Journal of Nuclear Materials, Brain Research, Biochemical and Biophysical Research Communications, Neuroscience Research and Journal of Biological Chemistry.

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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