Tōru Nishimura

1.5k citations
40 papers · 1.2k · h-index 16

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Metal-Organic Frameworks: Synthesis and Applications

Papers in

Tōru Nishimura

38 papers receiving 1.1k citations

Peers

Tōru Nishimura
Comparison fields: 5 of 94
  • Neurology 179
  • Inorganic Chemistry 298
  • Industrial and Manufacturing Engineering 111
  • Process Chemistry and Technology 35
  • Materials Chemistry 508
Replace Mengmeng Jin with:
Mengmeng Jin China
Tae Kyung Kim South Korea
Xiaotong Yang China
Jiao Lan China
Marcus Fantham United Kingdom
Hee Jung Yoon South Korea
Muthusamy Eswaramoorthy India
Kyo Chul Lee South Korea
Nobuyoshi Suzuki Japan
Long Gu China
Tōru Nishimura relative to Mengmeng Jin China Mengmeng Jin's profile →
Citations per field
00.5×7.9×
Mengmeng Jin · 1×
Citations per year

Countries citing papers authored by Tōru Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Tōru Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992282
2 2000244
3 1994117
4 1995108
5 201866
6 199045
7 199533
8 199726
9 199625
10 201524
11 199721
12 199720
13 201517
14 201816
15 199116
16 201915
17 202013
18 202310
19 19939
20 19939

About Tōru Nishimura

Tōru Nishimura is a scholar working on Materials Chemistry, Molecular Biology, Organic Chemistry, Mechanics of Materials and Mechanical Engineering, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polyoxometalates: Synthesis and Applications (6 papers), Alzheimer's disease research and treatments (5 papers), Chromosomal and Genetic Variations (5 papers), Chemical Synthesis and Characterization (4 papers), CRISPR and Genetic Engineering (4 papers), Quantum Chromodynamics and Particle Interactions (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Aluminum Alloy Microstructure Properties (4 papers). The work is most often cited by research in Neurology (179 citations), Inorganic Chemistry (298 citations), Industrial and Manufacturing Engineering (111 citations), Process Chemistry and Technology (35 citations) and Materials Chemistry (508 citations). Tōru Nishimura has collaborated with scholars based in Japan, Canada and China. Frequent co-authors include Makoto Misono, Toshio Okuhara, Hiromu Watanabe, Kei Inumaru, Haruhiko Akiyama, Hiromi Kondo, Kenji Ikeda, Patrick L. McGeer, Eizo Iseki and Masanori Kato. Their work appears in journals such as Brain Research, Chemistry Letters, Cell Reports, Progress of Theoretical and Experimental Physics and Advances in Engineering Software.

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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