Chieko Aoyama

1.0k citations
23 papers · 700 · 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

Chieko Aoyama

23 papers receiving 690 citations

Peers

Chieko Aoyama
Comparison fields: 5 of 66
  • Biochemistry 91
  • Clinical Biochemistry 78
  • Cancer Research 104
  • Molecular Biology 479
  • Cell Biology 82
Replace Andrey Frolov with:
Andrey Frolov United States
Emilie Schrepfer Italy
Émilie Obre France
Zongzhong Tong United States
Andrea Šoltýsová Slovakia
Ryota Iwasawa Spain
Christine Bénistant France
Mayumi Komachi Japan
Neelanjan Vishnu Sweden
Céline J. Rocca United States
Chieko Aoyama relative to Andrey Frolov United States Andrey Frolov's profile →
Citations per field
00.5×4.3×
Andrey Frolov · 1×
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 2004172
2 200590
3 200779
4 200246
5 200041
6 200236
7 201635
8 201330
9 200727
10 199826
11 199825
12 202016
13 200715
14 201414
15 200610
16 200610
17 20156
18 20196
19 20095
20 20195

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 700 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), Glycosylation and Glycoproteins Research (3 papers), Metabolism and Genetic Disorders (3 papers), Lipid metabolism and biosynthesis (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Biochemistry (91 citations), Clinical Biochemistry (78 citations), Cancer Research (104 citations), Molecular Biology (479 citations) and Cell Biology (82 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, Stephen G. Young, Gengshu Wu, Hiroyuki Sugimoto, Kinichi Nakashima, Hiroshi Terada, Yasuhiro Horibata and Naoshi Yamazaki. Their work appears in journals such as Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Biological Chemistry, The FASEB Journal and Neuromuscular Disorders.

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.

Explore authors with similar magnitude of impact