Miki Eto

873 citations
14 papers · 507 · h-index 8

Impact in

    • Lipid metabolism and biosynthesis
    • Peroxisome Proliferator-Activated Receptors
    • Sphingolipid Metabolism and Signaling
    • Lipid Membrane Structure and Behavior
    • Metabolomics and Mass Spectrometry Studies

Papers in

    • Sphingolipid Metabolism and Signaling 4
    • Lipid Membrane Structure and Behavior 3
    • Peroxisome Proliferator-Activated Receptors 3
    • Single-cell and spatial transcriptomics 1
    • Adipose Tissue and Metabolism 2

Miki Eto

12 papers receiving 504 citations

Peers

Miki Eto
Comparison fields: 5 of 81
  • Biochemistry 186
  • Molecular Biology 341
  • Cancer Research 61
  • Nutrition and Dietetics 61
  • Cell Biology 55
Replace Peter Hofer with:
Peter Hofer Austria
Michał Toborek Poland
Anna Abella France
Lihui Ou United States
Hyehun Choi United States
Emiko Yoda Japan
Melanie Korbelius Austria
Cameron World United States
Jillian L. Shaw United States
Miki Eto relative to Peter Hofer Austria Peter Hofer's profile →
Citations per field
00.5×2.8×
Peter Hofer · 1×
Citations per year

Countries citing papers authored by Miki Eto

Since Specialization
Citations

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

Fields of papers citing papers by Miki Eto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2015193
2 2014127
3 201351
4 200943
5 201232
6 202023
7 202016
8 201913
9 20204
10 20243
11 20231
12 20241
13 20240
14 20190

About Miki Eto

Miki Eto is a scholar working on Molecular Biology, Physiology, Biochemistry, Health and Social Psychology, having authored 14 papers that have together received 507 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (6 papers), Sphingolipid Metabolism and Signaling (4 papers), Lipid Membrane Structure and Behavior (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Adipose Tissue and Metabolism (2 papers), Single-cell and spatial transcriptomics (1 paper), Stroke Rehabilitation and Recovery (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Biochemistry (186 citations), Molecular Biology (341 citations), Cancer Research (61 citations), Nutrition and Dietetics (61 citations) and Cell Biology (55 citations). Miki Eto has collaborated with scholars based in Japan, Taiwan and Germany. Frequent co-authors include Takao Shimizu, Hideo Shindou, T. HARAYAMA, Daisuke Hishikawa, Yoshihiro Kita, Ryo Morimoto, Miwa Tamura‐Nakano, Satoshi Ishii, Fumie Hamano and Eiji Otsubo. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Metabolism, Cell Reports, Frontiers in Psychology and International Journal of Molecular Sciences.

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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