Kunio Katō

6.0k citations
282 papers · 5.0k indexed · h-index 33

Impact in

Papers in

Kunio Katō

276 papers receiving 4.7k citations

Peers

Kunio Katō
Comparison fields: 5 of 148
  • Cellular and Molecular Neuroscience 814
  • Computational Mechanics 839
  • Catalysis 208
  • Fuel Technology 20
  • Plant Science 912
Replace Susan T.L. Harrison with:
Susan T.L. Harrison South Africa
Hideki Fukuda Japan
P. Marchot France
J.M. Palacios Spain
Kazuo Sato Japan
R.M. Baldwin United States
Masaaki Yoshikawa Japan
Nobuo Kato Japan
Huili Wang China
Patrick Martin France
Kunio Katō relative to Susan T.L. Harrison South Africa Susan T.L. Harrison's profile →
Citations per field
00.5×10×
Susan T.L. Harrison · 1×
Citations per year

Countries citing papers authored by Kunio Katō

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Katō

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20116
2 200710
3
Measurement of Magnetic Near Field over a Trace by using a Thin-film Shielded Loop Coil
20032
4 200236
5 200131
6 20002
7 2000494
8 19995
9 19991
10 19971
11 19973
12 19972
13 199119
14 199156
15 19889
16
A Study on Pathway and Trend of Mercury Pollution of Bottom Sediments in the Suimon River
19852
17 198547
18
19844
19 19836
20 19664

About Kunio Katō

Kunio Katō is a scholar working on Fuel Technology, Computational Mechanics, Biotechnology, Mechanical Engineering and Plant Science, having authored 282 papers that have together received 5.0k indexed citations. Recurring topics across this work include Granular flow and fluidized beds (60 papers), Cyclone Separators and Fluid Dynamics (44 papers), Mineral Processing and Grinding (35 papers), Polysaccharides and Plant Cell Walls (28 papers), Biofuel production and bioconversion (23 papers), Industrial Gas Emission Control (18 papers), Thermochemical Biomass Conversion Processes (17 papers) and Neuroscience and Neuropharmacology Research (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (814 citations), Computational Mechanics (839 citations), Catalysis (208 citations), Fuel Technology (20 citations) and Plant Science (912 citations). Kunio Katō has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Katsuhiko Mikoshiba, Shigeru Eda, Takayuki Takarada, Nobuyoshi Nakagawa, Yukio Akiyama, Masao Noguchi, Makoto Nishiyama, Kyonsoo Hong, Mu‐ming Poo and Masataka Mori. Their work appears in journals such as JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, Phytochemistry, Carbohydrate Research, Powder Technology and Tetrahedron Letters.

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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