Mizuko Mamura

4.7k citations
52 papers · 3.9k indexed · h-index 28

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Oncology top 2%
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

Mizuko Mamura

51 papers receiving 3.8k citations

Peers

Mizuko Mamura
Comparison fields: 5 of 98
  • Immunology 1.8k
  • Oncology 1.5k
  • Immunology and Allergy 158
  • Molecular Biology 1.6k
  • Cancer Research 325
Replace Ines Gütgemann with:
Ines Gütgemann Germany
Ian Kasman United States
Laurent Bartholin France
Ruth D. Allen United States
Yasuo Koishihara Japan
Silke Brüderlein Germany
Tsuyoshi Akiyoshi Japan
Anne Spurkland Norway
T Matsuda Japan
Yumiko Yoshioka Japan
Mizuko Mamura relative to Ines Gütgemann Germany Ines Gütgemann's profile →
Citations per field
00.5×1.5×2.3×
Ines Gütgemann · 1×
Citations per year

Countries citing papers authored by Mizuko Mamura

Since Specialization
Citations

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

Fields of papers citing papers by Mizuko Mamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 201721
3 201526
4 201452
5 201358
6 2008198
7 2008187
8 2008113
9 200780
10 20075
11 200734
12 2005100
13 2004126
14 2003439
15 2002278
16 200254
17 200146
18 200194
19 20007
20 199927

About Mizuko Mamura

Mizuko Mamura is a scholar working on Immunology and Allergy, Immunology, Oncology, Rheumatology and Molecular Biology, having authored 52 papers that have together received 3.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (19 papers), T-cell and B-cell Immunology (9 papers), Cancer Cells and Metastasis (7 papers), Cell Adhesion Molecules Research (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Immune Cell Function and Interaction (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Immunology (1.8k citations), Oncology (1.5k citations), Immunology and Allergy (158 citations), Molecular Biology (1.6k citations) and Cancer Research (325 citations). Mizuko Mamura has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include John J. Letterio, Lalage M. Wakefield, Ciriaco A. Piccirillo, Ethan M. Shevach, Miriam R. Anver, Hidekazu Mizuhara, Rebecca S. McHugh, Angela M. Thornton, Binwu Tang and Masaki Terabe. Their work appears in journals such as Modern Rheumatology, EMBO Molecular Medicine, Cancer Research, Biochemical and Biophysical Research Communications and Journal of Cellular Physiology.

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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2026