Atsushi Ikemoto

916 citations
27 papers · 701 indexed · h-index 11
Topics
Fatty Acid Research and Health (16 papers)Lipid metabolism and biosynthesis (8 papers)Peroxisome Proliferator-Activated Receptors (6 papers)

In The Last Decade

Atsushi Ikemoto

25 papers receiving 679 citations

Peers

Atsushi Ikemoto
Comparison fields: 5 of 87
  • Nutrition and Dietetics 340
  • Molecular Biology 260
  • Physiology 167
  • Cellular and Molecular Neuroscience 135
  • Biochemistry 106
Replace Masazumi Nishikawa with:
Masazumi Nishikawa Japan
Bénédicte Langelier France
Axel Preuss Switzerland
Lucilla Attorri Italy
Sean Murphy United States
Juan Juan Chen United States
Noemí Fabelo Spain
Namie Murayama Japan
Christine Heberden France
Kevin W. Huggins United States
Atsushi Ikemoto relative to Masazumi Nishikawa Japan Masazumi Nishikawa's profile →
Citations per field
00.5×1.5×1.8×
Masazumi Nishikawa · 1×
Citations per year

Countries citing papers authored by Atsushi Ikemoto

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Ikemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Ikemoto

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Ikemoto. A scholar is included among the top collaborators of Atsushi Ikemoto 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 Atsushi Ikemoto. Atsushi Ikemoto 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
#WorkIndexed citations
1 1
2 0
3
0
4 3
5 155
6 3
7 5
8 26
9 10
10 5
11 7
12 7
13 106
14 2
15 8
16 13
17 27
18 37
19 3
20 73

About Atsushi Ikemoto

Atsushi Ikemoto is a scholar working on Biochemistry, Nutrition and Dietetics and Clinical Biochemistry, having authored 27 papers that have together received 701 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (16 papers), Lipid metabolism and biosynthesis (8 papers) and Peroxisome Proliferator-Activated Receptors (6 papers). The work is most often cited by research in Nutrition and Dietetics (340 citations), Biochemistry (106 citations) and Cellular and Molecular Neuroscience (135 citations). Atsushi Ikemoto has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Harumi Okuyama, Tetsufumi Ueda, D G Bole, Yoichi Robertus Fujii, Shiro Watanabe, Harumi Okuyama, Yoichi Fujii, Yoshihisa Misawa, Noriaki Hata and Yosuke Sato. Their work appears in journals such as Journal of Biological Chemistry, Journal of Nutrition and Journal of Neurochemistry.

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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