K Iwato
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 18
- Multiple Myeloma Research and Treatments 15
- Hematopoietic Stem Cell Transplantation 2
-
- Glycosylation and Glycoproteins Research 6
- Co-authors
- Hideki Asaoku (14 shared papers)H Tanaka (10 shared papers)N Huang (4 shared papers)A Kuramoto (9 shared papers)H Harada (3 shared papers)MM Kawano (3 shared papers)Y Harada (3 shared papers)Atsushi Kuramoto (5 shared papers)
- Journals
- Blood (14 papers)Haematologica (1 paper)American Journal of Hematology (1 paper)Blood Cancer Journal (1 paper)PubMed (1 paper)
- Partner nations
- Japan
In The Last Decade
K Iwato
19 papers receiving 993 citations
Peers
Comparison fields: 5 of 57
- Hematology 738
- Genetics 177
- Oncology 426
- Immunology and Allergy 92
- Immunology 243
Countries citing papers authored by K Iwato
This map shows the geographic impact of K Iwato'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 Iwato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Iwato more than expected).
Fields of papers citing papers by K Iwato
This network shows the impact of papers produced by K Iwato. 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 Iwato. The network helps show where K Iwato may publish in the future.
Co-authors
The 25 scholars most cited alongside K Iwato, 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 | 1993 | 280 | |
| 2 | 1993 | 236 | |
| 3 | 1993 | 127 | |
| 4 | 1989 | 116 | |
| 5 | 1990 | 53 | |
| 6 | 1988 | 47 | |
| 7 | 1988 | 34 | |
| 8 | 1989 | 31 | |
| 9 | 1989 | 30 | |
| 10 | 2016 | 22 | |
| 11 | 1993 | 14 | |
| 12 | 1989 | 10 | |
| 13 | 1989 | 6 | |
| 14 | 2014 | 5 | |
| 15 | Thrombotic thrombocytopenic purpura accompanied by transient pure red cell aplasia and thymoma. | 1998 | 4 |
| 16 | 1988 | 4 | |
| 17 | 1989 | 2 | |
| 18 | 1990 | 2 | |
| 19 | activity in human multiple myeloma Interleukin-1 beta rather than lymphotoxin as the major bone resorbing | 2011 | 1 |
About K Iwato
K Iwato is a scholar working on Hematology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (15 papers), Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Chemokine receptors and signaling (4 papers), T-cell and B-cell Immunology (3 papers), Bone health and treatments (2 papers), Cell Adhesion Molecules Research (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (738 citations), Genetics (177 citations), Oncology (426 citations), Immunology and Allergy (92 citations) and Immunology (243 citations). K Iwato has collaborated with scholars based in Japan. Frequent co-authors include Hideki Asaoku, H Tanaka, N Huang, A Kuramoto, H Harada, MM Kawano, Y Harada, Atsushi Kuramoto, Osamu Tanabe and Hideaki Ishikawa. Their work appears in journals such as Blood, Haematologica, American Journal of Hematology, Blood Cancer Journal 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.