Mitsuko Maeda

830 citations
60 papers · 737 · h-index 17

Impact in

  • Microbiology top 10%
    • Antimicrobial Peptides and Activities
    • Chemical Synthesis and Analysis
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

Mitsuko Maeda

57 papers receiving 690 citations

Peers

Mitsuko Maeda
Comparison fields: 5 of 71
  • Microbiology 50
  • Molecular Biology 554
  • Immunology and Allergy 45
  • Biomaterials 69
  • Environmental Chemistry 53
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Christian Noti Switzerland
Chengzao Sun United States
Stefano Tomassi Italy
Dimitrios Gatos Greece
Daniel Clayton Australia
Michael S. Bernatowicz United States
Martin Quibell United Kingdom
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Lynn E. Bretscher United States
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Citations per field
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Citations per year

Countries citing papers authored by Mitsuko Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuko Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200487
2 199466
3 200441
4 200140
5 200435
6 200434
7 200733
8 200028
9 200224
10 200523
11 199820
12 200120
13 200019
14 200919
15 200418
16 199718
17 200716
18 200316
19 199715
20 200815

About Mitsuko Maeda

Mitsuko Maeda is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Immunology and Allergy and Genetics, having authored 60 papers that have together received 737 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (31 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Cell Adhesion Molecules Research (10 papers), Chemical Synthesis and Reactions (8 papers), Neuropeptides and Animal Physiology (8 papers), Virus-based gene therapy research (8 papers), Glycosylation and Glycoproteins Research (5 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Microbiology (50 citations), Molecular Biology (554 citations), Immunology and Allergy (45 citations), Biomaterials (69 citations) and Environmental Chemistry (53 citations). Mitsuko Maeda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Koichi Kawasaki, Keiko Hojo, Tadanori Mayumi, Shinsaku Nakagawa, Yasuo Tsutsumi, Yusuke Eto, Timothy J. Smith, Shinya Kida, Hiroyuki Mizuguchi and Nanaya TAMAKI. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Biochemical and Biophysical Research Communications, Bioorganic & Medicinal Chemistry Letters, Biological and Pharmaceutical Bulletin and Journal of Peptide Science.

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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