Chieko Aoyama

1.0k citations
23 papers · 692 · h-index 14

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 9
    • Mitochondrial Function and Pathology 5
    • Glycosylation and Glycoproteins Research 3
    • Sphingolipid Metabolism and Signaling 3
    • Pancreatic function and diabetes 3

Chieko Aoyama

23 papers receiving 682 citations

Peers

Chieko Aoyama
Comparison fields: 5 of 69
  • Biochemistry 93
  • Clinical Biochemistry 85
  • Cancer Research 123
  • Molecular Biology 513
  • Cell Biology 85
Replace Andrey Frolov with:
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Christine Bénistant France
Andrea Šoltýsová Slovakia
Neelanjan Vishnu Sweden
Zongzhong Tong United States
Mayumi Komachi Japan
Céline J. Rocca United States
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Citations per field
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Citations per year

Countries citing papers authored by Chieko Aoyama

Since Specialization
Citations

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

Fields of papers citing papers by Chieko Aoyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004171
2 200590
3 200778
4 200246
5 200041
6 200236
7 201632
8 201330
9 200727
10 199826
11 199825
12 200715
13 201414
14 202013
15 200610
16 200610
17 20196
18 20156
19 20195
20 20095

About Chieko Aoyama

Chieko Aoyama is a scholar working on Molecular Biology, Surgery, Cell Biology, Biochemistry and Clinical Biochemistry, having authored 23 papers that have together received 692 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Mitochondrial Function and Pathology (5 papers), Cellular transport and secretion (4 papers), Pancreatic function and diabetes (3 papers), Metabolism and Genetic Disorders (3 papers), Lipid metabolism and biosynthesis (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Biochemistry (93 citations), Clinical Biochemistry (85 citations), Cancer Research (123 citations), Molecular Biology (513 citations) and Cell Biology (85 citations). Chieko Aoyama has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Kozo Ishidate, Huanan Liao, Dennis E. Vance, Gengshu Wu, Stephen G. Young, Hiroyuki Sugimoto, Kinichi Nakashima, Naoshi Yamazaki, Hiroshi Terada and Yasuhiro Horibata. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Biochemical Journal, Journal of Biological Chemistry, Journal of Lipid Research and Scientific Reports.

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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