Mayuko Tamura
- Immunology top 10%
- Oncology
- Genetics
- Molecular Biology
- Hematology top 10%
- Co-authors
- Masayoshi OnoH NomuraMasayoshi Oh‐edaS AsanoIkuo ImazekiN. KubotaKunihiro HattoriYoshito Ueyama
- Topics
- Immune Response and Inflammation (10 papers)Neutropenia and Cancer Infections (7 papers)Vitamin D Research Studies (4 papers)
- Cited by
- ImmunologyHematologyOncology
- Journals
- The EMBO JournalBloodPLoS ONE
- Partner nations
- JapanUnited StatesTürkiye
In The Last Decade
Mayuko Tamura
24 papers receiving 588 citations
Peers
Comparison fields: 5 of 80
- Immunology 261
- Oncology 226
- Genetics 163
- Molecular Biology 140
- Hematology 134
Countries citing papers authored by Mayuko Tamura
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
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
| # | 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 |
About Mayuko Tamura
Mayuko Tamura is a scholar working on Immunology, Hematology and Oncology, having authored 26 papers that have together received 639 indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), Neutropenia and Cancer Infections (7 papers) and Vitamin D Research Studies (4 papers). The work is most often cited by research in Immunology (261 citations), Hematology (134 citations) and Oncology (226 citations). Mayuko Tamura has collaborated with scholars based in Japan, United States and Türkiye. Frequent 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. Their work appears in journals such as The EMBO Journal, Blood and PLoS ONE.
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.