M. Numasaki
Impact in
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 3
- CAR-T cell therapy research 2
- Cytokine Signaling Pathways and Interactions 1
-
- Immunotherapy and Immune Responses 2
- Immunodeficiency and Autoimmune Disorders 1
- Co-authors
- Mary A. Antonysamy (1 shared paper)Masatoshi Tagawa (2 shared papers)Hiroki Tsukamoto (1 shared paper)Masayoshi Namba (1 shared paper)Hideaki Shimada (1 shared paper)Hiroshi Kobayashi (1 shared paper)Takuji Suzuki (1 shared paper)Takashi Ohrui (1 shared paper)
- Journals
- Bioscience Biotechnology and Biochemistry (1 paper)British Journal of Cancer (1 paper)Cancer Gene Therapy (1 paper)Blood (1 paper)PubMed (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
M. Numasaki
5 papers receiving 722 citations
M. Numasaki's Hit Papers
Peers
Comparison fields: 5 of 65
- Immunology 502
- Oncology 304
- Dermatology 42
- Cancer Research 56
- Pathology and Forensic Medicine 53
Countries citing papers authored by M. Numasaki
This map shows the geographic impact of M. Numasaki'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 M. Numasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Numasaki more than expected).
Fields of papers citing papers by M. Numasaki
This network shows the impact of papers produced by M. Numasaki. 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 M. Numasaki. The network helps show where M. Numasaki may publish in the future.
Co-authors
The 22 scholars most cited alongside M. Numasaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Interleukin-17 promotes angiogenesis and tumor growth Hit paper breakdown → | 2002 | 698 |
| 2 | 2011 | 14 | |
| 3 | 2016 | 13 | |
| 4 | 2003 | 6 | |
| 5 | 2024 | 2 | |
| 6 | [Change of cytokines and clinical efficacy of panipenem/betamipron in obstetric and gynecological infections. Yamagata Study Group of Panipenem/Betamipron in Obstetric and Gynecological Infections]. | 1998 | 1 |
About M. Numasaki
M. Numasaki is a scholar working on Oncology, Immunology, Molecular Biology, Epidemiology and Rheumatology, having authored 6 papers that have together received 734 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), CAR-T cell therapy research (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Fatty Acid Research and Health (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Immunology (502 citations), Oncology (304 citations), Dermatology (42 citations), Cancer Research (56 citations) and Pathology and Forensic Medicine (53 citations). M. Numasaki has collaborated with scholars based in Japan and United States. Frequent co-authors include Mary A. Antonysamy, Masatoshi Tagawa, Hiroki Tsukamoto, Masayoshi Namba, Hideaki Shimada, Hiroshi Kobayashi, Takuji Suzuki, Takashi Ohrui, Shinya Okamoto and Kiyoshi Takagi. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, British Journal of Cancer, Cancer Gene Therapy, Blood and PubMed.
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.