Kenichi Noda

1.7k total citations
88 papers, 1.3k citations indexed

About

Kenichi Noda is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kenichi Noda has authored 88 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 25 papers in Biomedical Engineering and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kenichi Noda's work include Ion channel regulation and function (15 papers), Neurobiology and Insect Physiology Research (7 papers) and Catalysis and Hydrodesulfurization Studies (7 papers). Kenichi Noda is often cited by papers focused on Ion channel regulation and function (15 papers), Neurobiology and Insect Physiology Research (7 papers) and Catalysis and Hydrodesulfurization Studies (7 papers). Kenichi Noda collaborates with scholars based in Japan, United States and Italy. Kenichi Noda's co-authors include Cathie Martin, Paul Linstead, Beverley J. Glover, L. J. Mullins, Kenji Maruhashi, Kimiko Watanabe, K. Koketsu, Akio Kuroda, Martin J. Griffin and Giulio C. Sarti and has published in prestigious journals such as Nature, Chemistry of Materials and Analytical Biochemistry.

In The Last Decade

Kenichi Noda

80 papers receiving 1.2k citations

Peers

Kenichi Noda
Comparison fields: 5 of 116
  • Molecular Biology 674
  • Plant Science 275
  • Biomedical Engineering 241
  • Mechanical Engineering 185
  • Cellular and Molecular Neuroscience 174
Kenji Katoh Japan
Kenji Mori Japan
Keming Li China
Xinling Yang China
Vadim V. Salnikov Russia
Takashi Matsui Japan
Satoshi Hara Japan
Linlin Liang China
Alicia Baldessari Argentina
Bora Kim South Korea
Kenji Katoh Japan View profile →
Citations per field, relative to Kenichi Noda
Kenichi Noda · 1×
Citations per year, relative to Kenichi Noda
Kenichi Noda · 1×

Countries citing papers authored by Kenichi Noda

Since Specialization
Citations

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

Fields of papers citing papers by Kenichi Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenichi Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Kenichi Noda. A scholar is included among the top collaborators of Kenichi 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 Kenichi Noda. Kenichi 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
# Work Indexed citations
1 0
2 3
3
Flow and Heat Transfer Characteristics in a Two-Phase Loop Thermosyphon
10
4
The Effect of Subcooling on the Flow and Heat Transfer Characteristics in a Two-Phase Loop Thermosyphon
0
5 14
6 30
7 16
8 8
9 18
10
Innervation of posterior structures in the lumbar spine of the rat.
9
11 338
12 3
13 1
14 4
15
260. Serum Levels of a Immunosuppressive Acidic Protein in Patients with Gynecological Cancer
1
16 0
17 2
18 1
19 4
20 159

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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