Taka-Aki Ichu

1.5k citations
10 papers · 903 indexed · 1 hit paper · h-index 10
    • Sphingolipid Metabolism and Signaling 3
    • Lipid Membrane Structure and Behavior 2
    • Genomics and Chromatin Dynamics 1
    • Chemical Synthesis and Analysis 1
    • Metabolomics and Mass Spectrometry Studies 1
    • Click Chemistry and Applications 1
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis 2
    • Physiological and biochemical adaptations 1

Taka-Aki Ichu

10 papers receiving 896 citations

Hit Papers

LPCAT3 Inhibitors Remodel the Polyunsaturated Phospholipi...1052022202620232024255075100

Peers

Taka-Aki Ichu
Comparison fields: 5 of 85
  • Molecular Biology 644
  • Organic Chemistry 251
  • Cancer Research 129
  • Biochemistry 49
  • Oncology 160
Replace Ching-Shih Chen with:
Ching-Shih Chen United States
Mai Uesugi Japan
Eric T. Sun United States
Beate Schölermann Germany
John L. Herrmann United States
Matthew R. Yudt United States
William J. Placzek United States
Nadège Loaëc France
Alfonso León‐Del‐Río Mexico
Toshiya Tamura Japan
Taka-Aki Ichu relative to Ching-Shih Chen United States Ching-Shih Chen's profile →
Citations per field
00.5×11.4×
Ching-Shih Chen · 1×
Citations per year

Countries citing papers authored by Taka-Aki Ichu

Since Specialization
Citations

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

Fields of papers citing papers by Taka-Aki Ichu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taka-Aki Ichu. 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 Taka-Aki Ichu. The network helps show where Taka-Aki Ichu may publish in the future.

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1
LPCAT3 Inhibitors Remodel the Polyunsaturated Phospholipid Content of Human Cells and Protect from Ferroptosisbreakdown →
2022105
2 2021156
3 202022
4 201930
5 201854
6 2017195
7 201637
8 2015178
9 201435
10 201291

About Taka-Aki Ichu

Taka-Aki Ichu is a scholar working on Biochemistry, Reproductive Medicine and Molecular Biology, having authored 10 papers that have together received 903 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (3 papers), Lipid Membrane Structure and Behavior (2 papers), Lipid metabolism and biosynthesis (2 papers), Genomics and Chromatin Dynamics (1 paper), Click Chemistry and Applications (1 paper), Chemical Synthesis and Analysis (1 paper), Physiological and biochemical adaptations (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Molecular Biology (644 citations), Organic Chemistry (251 citations) and Cancer Research (129 citations). Taka-Aki Ichu has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Benjamin F. Cravatt, José Olucha, Alex Reed, Matthew M. Hayward, Melissa M. Dix, Radu M. Suciu, Steven J Brown, Hugh Rosen, Armand B. Cognetta and Kenneth M. Lum. Their work appears in journals such as Cell, Molecular and Cellular Biology and Biochemistry.

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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