Kenichi Noda

1.7k citations
88 papers · 1.3k · h-index 18

Impact in

  • Catalysis top 10%
    • Catalysts for Methane Reforming
    • Ion channel regulation and function
    • Plant Gene Expression Analysis
    • Plant Reproductive Biology

Papers in

Kenichi Noda

80 papers receiving 1.2k citations

Peers

Kenichi Noda
Comparison fields: 5 of 114
  • Catalysis 102
  • Molecular Biology 664
  • Cellular and Molecular Neuroscience 172
  • Plant Science 268
  • Bioengineering 33
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994339
2 1963159
3 200867
4 200763
5 200751
6 200233
7
Cytochrome P-450 in hyperplastic liver nodules during hepatocarcinogenesis with N-2-fluorenylacetamide in rats.
197632
8 200930
9 200228
10
Quantiation of epoxide hydrolase released from hyperplastic nodule and hepatoma microsomes.
198028
11 196227
12 196124
13 197720
14
Clinical implications of alpha-fetoprotein in liver cirrhosis: five-year follow-up study.
198020
15 200319
16 200219
17 200318
18 200818
19 199516
20 197716

About Kenichi Noda

Kenichi Noda is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Mechanical Engineering and Electrical and Electronic Engineering, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (15 papers), Neurobiology and Insect Physiology Research (7 papers), Catalysis and Hydrodesulfurization Studies (7 papers), Advanced Fiber Optic Sensors (6 papers), Physiological and biochemical adaptations (5 papers), Microbial bioremediation and biosurfactants (5 papers), bioluminescence and chemiluminescence research (5 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Catalysis (102 citations), Molecular Biology (664 citations), Cellular and Molecular Neuroscience (172 citations), Plant Science (268 citations) and Bioengineering (33 citations). Kenichi Noda has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Paul Linstead, Beverley J. Glover, Cathie Martin, L. J. Mullins, Kenji Maruhashi, Kimiko Watanabe, K. Koketsu, Akio Kuroda, Martin J. Griffin and Tadayoshi Takemoto. Their work appears in journals such as Biotechnology Letters, Analytical Biochemistry, The Kurume Medical Journal, Nature and Journal of the American Ceramic Society.

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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