Kohji Itoh

5.9k citations
162 papers · 4.5k indexed · 1 hit paper · h-index 31

Kohji Itoh

158 papers receiving 4.4k citations

Hit Papers

2-Arachidonoylgylcerol: A Possible Endogenous Cannabinoid...1.8k199520262005201550010001.5k

Peers

Kohji Itoh
Comparison fields: 5 of 125
  • Pharmacology 1.7k
  • Toxicology 211
  • Cellular and Molecular Neuroscience 1.0k
  • Physiology 1.3k
  • Cell Biology 594
Replace Yasuo Okamoto with:
Yasuo Okamoto Japan
Guillermo Velasco Spain
Pierre Carayon France
Ujendra Kumar Canada
Henry M. Sarau United States
Sophie Mary France
Ronald M. Burch United States
Stephen M. Massa United States
Fang Zheng United States
John W. Regan United States
Kohji Itoh relative to Yasuo Okamoto Japan Yasuo Okamoto's profile →
Citations per field
00.5×1.5×
Yasuo Okamoto · 1×
Citations per year

Countries citing papers authored by Kohji Itoh

Since Specialization
Citations

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

Fields of papers citing papers by Kohji Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20234
4 20230
5 20226
6 20225
7 201811
8 201313
9 20135
10 200941
11 20093
12
D-5-1 Computer-Assisted Learning Japanese by Retrieving and Comparing Usage of Expressions with Support of an Expression Relational Map
20061
13 200615
14 20024
15 20028
16 199912
17 19977
18 199611
19 19969
20 199358

About Kohji Itoh

Kohji Itoh is a scholar working on Physiology, Cell Biology and Molecular Biology, having authored 162 papers that have together received 4.5k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (66 papers), Cellular transport and secretion (32 papers), Glycosylation and Glycoproteins Research (27 papers), Carbohydrate Chemistry and Synthesis (19 papers), Trypanosoma species research and implications (18 papers), Phytochemistry and Biological Activities (10 papers), Chemical Synthesis and Analysis (8 papers) and Galectins and Cancer Biology (7 papers). The work is most often cited by research in Pharmacology (1.7k citations), Toxicology (211 citations) and Cellular and Molecular Neuroscience (1.0k citations). Kohji Itoh has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shinji Nakane, Takayuki Sugiura, Keizo Waku, Atsushi Yamashita, Akira Shinoda, Shigeru Kondo, Hitoshi Sakuraba, Daisuke Tsuji, Michie Shimmoto and Yoshiyuki Suzuki. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Journal of Neurochemistry, Brain and Development and Fitoterapia.

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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