Toru Noda

1.9k citations
43 papers · 1.5k indexed · h-index 17
Topics
Advanced Combustion Engine Technologies (14 papers)Combustion and flame dynamics (9 papers)Nerve injury and regeneration (8 papers)
Journals
SHILAP Revista de lepidopterologíaBrain ResearchJournal of Neurochemistry

In The Last Decade

Toru Noda

42 papers receiving 1.5k citations

Peers

Toru Noda
Comparison fields: 5 of 115
  • Genetics 477
  • Cellular and Molecular Neuroscience 453
  • Developmental Neuroscience 420
  • Pathology and Forensic Medicine 337
  • Molecular Biology 313
Replace Stephen G. Poulos with:
Stephen G. Poulos United States
Marco Quarta United States
Satoshi Suda Japan
Hongtian Zhang China
John Firrell United States
Irvin B. Krukenkamp United States
Takashi Inoue Japan
Xiyao Gu China
Hans Jakob Steiger Germany
Leyan Xu United States
Toru Noda relative to Stephen G. Poulos United States Stephen G. Poulos's profile →
Citations per field
00.5×10×17×
Stephen G. Poulos · 1×
Citations per year

Countries citing papers authored by Toru Noda

Since Specialization
Citations

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

Fields of papers citing papers by Toru Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Noda. A scholar is included among the top collaborators of Toru Noda 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 Toru Noda. Toru Noda 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
#WorkIndexed citations
1 27
2 10
3 9
4 3
5 1
6 13
7 3
8 5
9 109
10 14
11 270
12 26
13 232
14 14
15 191
16 48
17 81
18 58
19 36
20 15

About Toru Noda

Toru Noda is a scholar working on Fluid Flow and Transfer Processes, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (14 papers), Combustion and flame dynamics (9 papers) and Nerve injury and regeneration (8 papers). The work is most often cited by research in Developmental Neuroscience (420 citations), Fluid Flow and Transfer Processes (290 citations) and Genetics (477 citations). Toru Noda has collaborated with scholars based in Japan, United Kingdom and Netherlands. Frequent co-authors include Chizuka Idé, Yoshihisa Suzuki, Naoya Matsumoto, Mari Dezawa, Kazuya Kataoka, Masayoshi Ohta, David E. Foster, Kazushi Kimura, Masaaki Kitada and Yoko Ejiri. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Journal of Neurochemistry.

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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