Shun Mitsui

20 papers receiving 505 citations

Peers

Shun Mitsui
Comparison fields: 5 of 56
  • Inorganic Chemistry 222
  • Neurology 91
  • Materials Chemistry 301
  • Genetics 42
  • Industrial and Manufacturing Engineering 24
Replace Tsuyoshi Morita with:
Tsuyoshi Morita Japan
Christopher J. Love United States
Aya Ogata Japan
C.K. Bruns United States
É. A. Fedorova Russia
Shuyi Cai China
E.L. Guenther United States
Sripadh Sharma United States
Runze Chen China
Danilo Ortillo United States
Shun Mitsui relative to Tsuyoshi Morita Japan Tsuyoshi Morita's profile →
Citations per field
00.5×4.4×
Tsuyoshi Morita · 1×
Citations per year

Countries citing papers authored by Shun Mitsui

Since Specialization
Citations

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

Fields of papers citing papers by Shun Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006112
2 2007107
3 200570
4 200662
5 201651
6 201837
7 201826
8 20208
9 20197
10 20157
11 20216
12 20205
13 20234
14 20214
15 20222
16 20181
17 20201
18 19801
19 20221
20 20241

About Shun Mitsui

Shun Mitsui is a scholar working on Neurology, Molecular Biology, Cell Biology, Epidemiology and Materials Chemistry, having authored 21 papers that have together received 513 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), Cellular transport and secretion (5 papers), Advanced Nanomaterials in Catalysis (4 papers), Polyoxometalates: Synthesis and Applications (4 papers), Autophagy in Disease and Therapy (4 papers), Microtubule and mitosis dynamics (3 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Nanocluster Synthesis and Applications (2 papers). The work is most often cited by research in Inorganic Chemistry (222 citations), Neurology (91 citations), Materials Chemistry (301 citations), Genetics (42 citations) and Industrial and Manufacturing Engineering (24 citations). Shun Mitsui has collaborated with scholars based in Japan, China and Poland. Frequent co-authors include Masazumi Eriguchi, Hironobu Yanagië, Toshihiro Yamase, Aya Ogata, Tomoyuki Hisa, Asako Otomo, Shinji Hadano, Keiji Hasumi, S Takamoto and Y Morishita. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biomedicine & Pharmacotherapy, The FASEB Journal, Applied Microbiology and Biotechnology and Human Molecular Genetics.

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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