K Noda

596 citations
21 papers · 513 indexed · h-index 10
Topics
Cyclone Separators and Fluid Dynamics (3 papers)Granular flow and fluidized beds (3 papers)Hormonal Regulation and Hypertension (3 papers)
Partner nations
Japan

In The Last Decade

K Noda

21 papers receiving 494 citations

Peers

K Noda
Comparison fields: 5 of 82
  • Computational Mechanics 166
  • Cellular and Molecular Neuroscience 150
  • Molecular Biology 118
  • Mechanical Engineering 96
  • Ocean Engineering 70
Replace Choon-Hwai Yap with:
Choon-Hwai Yap United States
Shihao Wu China
Joshua E. Johnson United States
J. Walker United Kingdom
Sang-Hoon Shin South Korea
O Gosselin France
Werner Willems Germany
Ankur Patel United States
T.-Y. Wu Taiwan
Mitsuo Sasaki Japan
K Noda relative to Choon-Hwai Yap United States Choon-Hwai Yap's profile →
Citations per field
00.5×3.5×
Choon-Hwai Yap · 1×
Citations per year

Countries citing papers authored by K Noda

Since Specialization
Citations

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

Fields of papers citing papers by K Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Noda

This figure shows the co-authorship network connecting the top 25 collaborators of K Noda. A scholar is included among the top collaborators of K 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 K Noda. K 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 3
2 14
3 6
4 11
5 9
6 20
7 1
8 3
9 13
10 2
11 56
12 52
13
[Rhythmical involuntary movement at rest associated with olivo-ponto-cerebellar atrophy (OPCA)].
2
14 17
15 23
16 170
17 100
18 8
19
[Biochemical analysis of neurotransmitters and receptors in prefrontal cortex of post-mortem brains from schizophrenic patients].
1
20
[Aminocyclohexyl penicillin (Cyclacillin)].
1

About K Noda

K Noda is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 513 indexed citations. Recurring topics across this work include Cyclone Separators and Fluid Dynamics (3 papers), Granular flow and fluidized beds (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Biological Psychiatry (36 citations), Cellular and Molecular Neuroscience (150 citations) and Computational Mechanics (166 citations). K Noda has collaborated with scholars based in Japan. Frequent co-authors include Shigeo Uchida, Taizo MAKINO, Yoshihide Mawatari, Kunio Shiota, Michio Takahashi, Shuzo Watanabe, Michio Toru, Hironobu Ichikawa, Nobuko Mataga and Hiroshi Mitsushio. Their work appears in journals such as Biochemical Journal, Neuroscience and Japanese Journal of Applied Physics.

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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