M Kumagai
- Immunology top 10%
- Hematology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- Oncology
- Co-authors
- Dario CampanaAtsushi ManabeElaine Coustan‐SmithF G BehmSC RaimondiOlli SilvennoinenK. Gopal MurtiDylan J. Murray
- Topics
- Acute Lymphoblastic Leukemia research (7 papers)Hematopoietic Stem Cell Transplantation (4 papers)CAR-T cell therapy research (3 papers)
- Cited by
- PhysiologyHematologyImmunology
- Partner nations
- United StatesJapan
In The Last Decade
M Kumagai
13 papers receiving 564 citations
Peers
Comparison fields: 5 of 48
- Immunology 242
- Hematology 214
- Public Health, Environmental and Occupational Health 171
- Molecular Biology 154
- Oncology 145
Countries citing papers authored by M Kumagai
This map shows the geographic impact of M Kumagai'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 Kumagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Kumagai more than expected).
Fields of papers citing papers by M Kumagai
This network shows the impact of papers produced by M Kumagai. 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 Kumagai. The network helps show where M Kumagai may publish in the future.
Co-authorship network of co-authors of M Kumagai
This figure shows the co-authorship network connecting the top 25 collaborators of M Kumagai. A scholar is included among the top collaborators of M Kumagai 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 M Kumagai. M Kumagai 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 | Increased level of stromal cell-derived factor-1 mRNA in peripheral blood mononuclear cells from children with AIDS-related lymphoma. | 35 |
| 3 | 1 | |
| 4 | 102 | |
| 5 | 1 | |
| 6 | Human B-cell progenitors and bone marrow microenvironment. | 18 |
| 7 | 131 | |
| 8 | Stromal cell-mediated transcriptional regulation of the CD13/aminopeptidase N gene in leukemic cells. | 16 |
| 9 | 142 | |
| 10 | Use of stroma-supported cultures of leukemic cells to assess antileukemic drugs. II. Potent cytotoxicity of 2-chloro-deoxyadenosine in acute lymphoblastic leukemia. | 19 |
| 11 | 63 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | Use of stroma-supported cultures of leukemic cells to assess antileukemic drugs. I. Cytotoxicity of interferon alpha in acute lymphoblastic leukemia. | 31 |
About M Kumagai
M Kumagai is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Physiology, having authored 14 papers that have together received 576 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (7 papers), Hematopoietic Stem Cell Transplantation (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Physiology (107 citations), Hematology (214 citations) and Immunology (242 citations). M Kumagai has collaborated with scholars based in United States and Japan. Frequent co-authors include Dario Campana, Atsushi Manabe, Elaine Coustan‐Smith, F G Behm, SC Raimondi, Olli Silvennoinen, K. Gopal Murti, Dylan J. Murray, Fabio Malavasi and William E. Evans. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.
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.