K Kagami
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
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- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 12
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 3
- Blood groups and transfusion 2
- Hematopoietic Stem Cell Transplantation 2
- Platelet Disorders and Treatments 2
-
- Acute Lymphoblastic Leukemia research 6
- Co-authors
- Kumiko Goi (13 shared papers)Takeshi Inukai (13 shared papers)K Sugita (13 shared papers)S Nakazawa (11 shared papers)Tohru Tezuka (8 shared papers)Satoru Kojika (6 shared papers)Makoto Nakamura (3 shared papers)Kiyono Shiraishi (3 shared papers)
- Journals
- Leukemia (8 papers)Leukemia Research (1 paper)Bone Marrow Transplantation (1 paper)Cell Death and Differentiation (1 paper)Oncogene (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
K Kagami
14 papers receiving 320 citations
Peers
Comparison fields: 5 of 56
- Hematology 104
- Genetics 45
- Public Health, Environmental and Occupational Health 76
- Cancer Research 37
- Oncology 61
Countries citing papers authored by K Kagami
This map shows the geographic impact of K Kagami'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 K Kagami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Kagami more than expected).
Fields of papers citing papers by K Kagami
This network shows the impact of papers produced by K Kagami. 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 K Kagami. The network helps show where K Kagami may publish in the future.
Co-authors
The 25 scholars most cited alongside K Kagami, 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 | 2002 | 58 | |
| 2 | Mechanisms of glucocorticoid resistance in human leukemic cells: implication of abnormal 90 and 70 kDa heat shock proteins. | 1996 | 52 |
| 3 | 1999 | 46 | |
| 4 | 2001 | 44 | |
| 5 | 2006 | 25 | |
| 6 | 1998 | 24 | |
| 7 | 1999 | 19 | |
| 8 | 2000 | 13 | |
| 9 | 2012 | 11 | |
| 10 | 2000 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2012 | 7 | |
| 13 | 2000 | 5 | |
| 14 | 2008 | 1 |
About K Kagami
K Kagami is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Immunology, Molecular Biology and Genetics, having authored 14 papers that have together received 324 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Acute Myeloid Leukemia Research (3 papers), Blood groups and transfusion (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Blood disorders and treatments (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Hematology (104 citations), Genetics (45 citations), Public Health, Environmental and Occupational Health (76 citations), Cancer Research (37 citations) and Oncology (61 citations). K Kagami has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kumiko Goi, Takeshi Inukai, K Sugita, S Nakazawa, Tohru Tezuka, Satoru Kojika, Makoto Nakamura, Kiyono Shiraishi, Masaki Nakamura and Nick Barker. Their work appears in journals such as Leukemia, Leukemia Research, Bone Marrow Transplantation, Cell Death and Differentiation and Oncogene.
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.