Norio Maeda

39 papers receiving 527 citations

Peers

Norio Maeda
Comparison fields: 5 of 118
  • Geochemistry and Petrology 47
  • Ecological Modeling 33
  • Global and Planetary Change 93
  • Sensory Systems 20
  • Physiology 17
Replace Vettath Raghavan Suresh with:
Vettath Raghavan Suresh India
Young Jun Kim South Korea
Xianglin Chen China
Zhiguo Miao China
Tianpeng Li China
Shuai Shi China
Makoto Fujisawa Japan
Rong Zou China
Zhihui Yang China
Xinrong Wang China
Norio Maeda relative to Vettath Raghavan Suresh India Vettath Raghavan Suresh's profile →
Citations per field
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Vettath Raghavan Suresh · 1×
Citations per year

Countries citing papers authored by Norio Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Norio Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990119
2 201660
3 201748
4 199539
5 201738
6 201630
7 198821
8 199420
9 200017
10 198817
11 199417
12 201713
13 200412
14 201712
15 200411
16 199010
17 19909
18 20007
19
[Timely colonoscopy leads to faster identification of bleeding diverticulum].
20137
20 19807

About Norio Maeda

Norio Maeda is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Mechanical Engineering and Nutrition and Dietetics, having authored 43 papers that have together received 563 indexed citations. Recurring topics across this work include Radical Photochemical Reactions (5 papers), Organic Chemistry Cycloaddition Reactions (4 papers), Oxidative Organic Chemistry Reactions (3 papers), Thermochemical Biomass Conversion Processes (3 papers), Aerosol Filtration and Electrostatic Precipitation (3 papers), Fatty Acid Research and Health (2 papers), Cyclone Separators and Fluid Dynamics (2 papers) and Connexins and lens biology (2 papers). The work is most often cited by research in Geochemistry and Petrology (47 citations), Ecological Modeling (33 citations), Global and Planetary Change (93 citations), Sensory Systems (20 citations) and Physiology (17 citations). Norio Maeda has collaborated with scholars based in Japan, Taiwan and Canada. Frequent co-authors include Robert F. Inger, Masafumi Matsui, Tomonori Fukasawa, An‐Ni Huang, Kunihiro Fukui, K. Mikoshiba, Hideto Yoshida, Hsiu‐Po Kuo, Koichi Tomoda and Hidetaka Yuki. Their work appears in journals such as Journal of the Chemical Society Perkin Transactions 1, Bulletin of the Chemical Society of Japan, Acta Oto-Laryngologica, Separation and Purification Technology and Fuel Processing Technology.

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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