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
- Platelet Disorders and Treatments 2
- Hematopoietic Stem Cell Transplantation 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)Oncogene (1 paper)Bone Marrow Transplantation (1 paper)Cell Death and Differentiation (1 paper)Leukemia Research (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
K Kagami
14 papers receiving 321 citations
Peers
Comparison fields: 5 of 61
- Hematology 118
- Genetics 50
- Public Health, Environmental and Occupational Health 85
- Cancer Research 41
- Oncology 71
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 | 14 | |
| 9 | 2012 | 11 | |
| 10 | 2000 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2012 | 7 | |
| 13 | A preliminary analysis of platelet von Willebrand factor oligosaccharides. | 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 325 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), Blood disorders and treatments (2 papers), Platelet Disorders and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (118 citations), Genetics (50 citations), Public Health, Environmental and Occupational Health (85 citations), Cancer Research (41 citations) and Oncology (71 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, Nick Barker and Masaki Nakamura. Their work appears in journals such as Leukemia, Oncogene, Bone Marrow Transplantation, Cell Death and Differentiation and Leukemia Research.
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.