Mitsuko Maeda

820 citations
57 papers · 691 · h-index 16

Impact in

Papers in

Mitsuko Maeda

55 papers receiving 662 citations

Peers

Mitsuko Maeda
Comparison fields: 5 of 70
  • Immunology and Allergy 49
  • Microbiology 50
  • Molecular Biology 545
  • Biomaterials 67
  • Organic Chemistry 145
Replace Chengzao Sun with:
Chengzao Sun United States
Christian Noti Switzerland
Wayne D. Kohn United States
Dimitrios Gatos Greece
Lynn E. Bretscher United States
Daniel Clayton Australia
Michael S. Bernatowicz United States
Shenlan Mao United States
Cara L. Jenkins United States
Kimberly M. Bonger Netherlands
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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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200483
2 199462
3 200437
4 200134
5 200432
6 200431
7 200729
8 200028
9 200223
10 200920
11 200120
12 199819
13 200519
14 200418
15 199718
16 200716
17 200815
18 200015
19 199714
20 200313

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 57 papers that have together received 691 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (29 papers), Cell Adhesion Molecules Research (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Virus-based gene therapy research (8 papers), Neuropeptides and Animal Physiology (7 papers), Chemical Synthesis and Reactions (7 papers), RNA Interference and Gene Delivery (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Immunology and Allergy (49 citations), Microbiology (50 citations), Molecular Biology (545 citations), Biomaterials (67 citations) and Organic Chemistry (145 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, Shinya Kida, Timothy J. Smith, 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, Tetrahedron Letters 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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