Mayako Asakawa
- Immunology top 5%
- Oncology top 10%
- Molecular Biology
- Cancer Research
- Rheumatology top 10%
- Co-authors
- Akihiko YoshimuraRimpei MoritaGo MutoTakashi SekiyaReiko TakahashiHideyuki YoshidaTakahiro MoriMasaoki Kawasumi
- Topics
- Cytokine Signaling Pathways and Interactions (5 papers)Mycobacterium research and diagnosis (2 papers)Pharmacological Effects of Natural Compounds (2 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- The Journal of Experimental MedicineThe Journal of ImmunologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanChinaUnited States
In The Last Decade
Mayako Asakawa
11 papers receiving 834 citations
Peers
Comparison fields: 5 of 81
- Immunology 485
- Oncology 265
- Molecular Biology 260
- Cancer Research 95
- Rheumatology 89
Countries citing papers authored by Mayako Asakawa
This map shows the geographic impact of Mayako Asakawa'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 Mayako Asakawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayako Asakawa more than expected).
Fields of papers citing papers by Mayako Asakawa
This network shows the impact of papers produced by Mayako Asakawa. 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 Mayako Asakawa. The network helps show where Mayako Asakawa may publish in the future.
Co-authorship network of co-authors of Mayako Asakawa
This figure shows the co-authorship network connecting the top 25 collaborators of Mayako Asakawa. A scholar is included among the top collaborators of Mayako Asakawa 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 Mayako Asakawa. Mayako Asakawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 17 | |
| 3 | 272 | |
| 4 | 159 | |
| 5 | 37 | |
| 6 | 278 | |
| 7 | 47 | |
| 8 | 5 | |
| 9 | [Phenotypic analysis in peripheral blood lymphocytes of patients with pulmonary tuberculosis]. | 7 |
| 10 | Herbal medicine "sho-saiko-to" induces in vitro granulocyte colony-stimulating factor production on peripheral blood mononuclear cells. | 8 |
| 11 | Role of endothelial and endometrial fibroblasic cells in placental fibrinolysis. -Hormonal regulation of t-PA and PAI production in the cells culture | 1 |
About Mayako Asakawa
Mayako Asakawa is a scholar working on Pharmacology, Oncology and Immunology, having authored 11 papers that have together received 838 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Mycobacterium research and diagnosis (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Immunology (485 citations), Oncology (265 citations) and Cancer Research (95 citations). Mayako Asakawa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Akihiko Yoshimura, Rimpei Morita, Go Muto, Takashi Sekiya, Reiko Takahashi, Hideyuki Yoshida, Takahiro Mori, Masaoki Kawasumi, K. Chiba and Y. Toyama. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Biochemical and Biophysical Research Communications.
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.