Akemi Ikeda

771 citations
28 papers · 633 · h-index 15

Impact in

    • Galectins and Cancer Biology
    • Glycosylation and Glycoproteins Research
    • Ubiquitin and proteasome pathways
    • Signaling Pathways in Disease
    • Fungal and yeast genetics research

Papers in

    • Glycosylation and Glycoproteins Research 8
    • Ubiquitin and proteasome pathways 2
    • Galectins and Cancer Biology 3

Akemi Ikeda

28 papers receiving 621 citations

Peers

Akemi Ikeda
Comparison fields: 5 of 78
  • Immunology 167
  • Molecular Biology 444
  • Endocrinology 25
  • Cell Biology 72
  • Biotechnology 38
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Liuyi Dang China
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Citations per field
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Citations per year

Countries citing papers authored by Akemi Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Akemi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201358
2 201358
3 201152
4 200751
5 201345
6 201044
7 201440
8 200833
9 201431
10 201227
11 201721
12 201519
13 201518
14 200818
15 201614
16 199813
17 198412
18 197112
19 199712
20 197011

About Akemi Ikeda

Akemi Ikeda is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 633 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Carbohydrate Chemistry and Synthesis (5 papers), Diet and metabolism studies (3 papers), Galectins and Cancer Biology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ubiquitin and proteasome pathways (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Immunology (167 citations), Molecular Biology (444 citations), Endocrinology (25 citations), Cell Biology (72 citations) and Biotechnology (38 citations). Akemi Ikeda has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include Yoshiki Yamaguchi, Shinya Hanashima, Masamichi Nagae, Tsutomu Kishi, Rina Nagao, Tadashi Satoh, Mayumi Kanagawa, Yoshiyuki Adachi, Naohito Ohno and Noriko Koyama. Their work appears in journals such as Journal of Biological Chemistry, Protein Expression and Purification, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and European Journal of Endocrinology.

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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