Mayuko Tamura

828 total citations
26 papers, 639 citations indexed

About

Mayuko Tamura is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Mayuko Tamura has authored 26 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 10 papers in Immunology and 6 papers in Genetics. Recurrent topics in Mayuko Tamura's work include Immune Response and Inflammation (10 papers), Neutropenia and Cancer Infections (7 papers) and Vitamin D Research Studies (4 papers). Mayuko Tamura is often cited by papers focused on Immune Response and Inflammation (10 papers), Neutropenia and Cancer Infections (7 papers) and Vitamin D Research Studies (4 papers). Mayuko Tamura collaborates with scholars based in Japan, United States and Türkiye. Mayuko Tamura's co-authors include Masayoshi Ono, H Nomura, Masayoshi Oh‐eda, S Asano, Ikuo Imazeki, N. Kubota, Kunihiro Hattori, Yoshito Ueyama, S Matsubara and Takeshi Yokota and has published in prestigious journals such as The EMBO Journal, Blood and PLoS ONE.

In The Last Decade

Mayuko Tamura

24 papers receiving 588 citations

Peers

Mayuko Tamura
Comparison fields: 5 of 80
  • Immunology 261
  • Oncology 226
  • Genetics 163
  • Molecular Biology 140
  • Hematology 134
S Okamura Japan
N Génetet France
JI Gallin United States
Ingrid Jurickova United States
A D Levine United States
C. A. Savary United States
P Sheldon United Kingdom
Masanori Higuchi Japan
L Bersani Italy
Ma Àngels Ortiz Spain
S Okamura Japan View profile →
Citations per field, relative to Mayuko Tamura
Mayuko Tamura · 1×
Citations per year, relative to Mayuko Tamura
Mayuko Tamura · 1×

Countries citing papers authored by Mayuko Tamura

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Tamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayuko Tamura

This figure shows the co-authorship network connecting the top 25 collaborators of Mayuko Tamura. A scholar is included among the top collaborators of Mayuko Tamura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mayuko Tamura. Mayuko Tamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 4
4 1
5 0
6 14
7 5
8 7
9 24
10 7
11
Granulocyte colony-stimulating factor shortens the optimal interval of repetition of chemotherapy with cyclophosphamide in mice.
2
12 35
13
Effects of recombinant human granulocyte colony-stimulating factor on neutrophil function in normal rats.
11
14 35
15 17
16
Effects of recombinant human granulocyte colony stimulating factor (rG-CSF) on murine myeloid leukemia: stimulation of proliferation of leukemic cells in vitro and inhibition of development of leukemia in vivo.
10
17 114
18 131
19 197
20 4

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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