Kiyoshi Watari
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 10%
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Acute Myeloid Leukemia Research 3
- Hematopoietic Stem Cell Transplantation 3
- Chronic Myeloid Leukemia Treatments 2
- Blood groups and transfusion 2
- Genetics 7
- Blood disorders and treatments 5
- Co-authors
- S Asano (4 shared papers)Naoki Shirafuji (5 shared papers)H Kodo (4 shared papers)Shinichi Kamachi (3 shared papers)Fumimaro Takaku (2 shared papers)Kazuhiro Ozawa (1 shared paper)K Ozawa (2 shared papers)F Takaku (1 shared paper)
In The Last Decade
Kiyoshi Watari
15 papers receiving 778 citations
Peers
Comparison fields: 5 of 70
- Hematology 248
- Immunology 333
- Oncology 262
- Genetics 222
- Emergency Medicine 56
Countries citing papers authored by Kiyoshi Watari
This map shows the geographic impact of Kiyoshi Watari'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 Kiyoshi Watari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Watari more than expected).
Fields of papers citing papers by Kiyoshi Watari
This network shows the impact of papers produced by Kiyoshi Watari. 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 Kiyoshi Watari. The network helps show where Kiyoshi Watari may publish in the future.
Co-authors
The 25 scholars most cited alongside Kiyoshi Watari, 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 | 1989 | 283 | |
| 2 | 1989 | 245 | |
| 3 | A new bioassay for human granulocyte colony-stimulating factor (hG-CSF) using murine myeloblastic NFS-60 cells as targets and estimation of its levels in sera from normal healthy persons and patients with infectious and hematological disorders. | 1989 | 98 |
| 4 | 2000 | 40 | |
| 5 | 1989 | 33 | |
| 6 | 1994 | 21 | |
| 7 | Phase I clinical study for recombinant human granulocyte colony-stimulating factor. | 1988 | 20 |
| 8 | 1994 | 19 | |
| 9 | 1996 | 18 | |
| 10 | 2000 | 11 | |
| 11 | 2002 | 5 | |
| 12 | 1990 | 3 | |
| 13 | 2002 | 3 | |
| 14 | 2000 | 1 | |
| 15 | 2000 | 1 | |
| 16 | [Pharmacokinetics of hematopoietic growth factors and granulopoiesis. The pathophysiology of human granulocyte colony-stimulating factor]. | 1993 | 0 |
About Kiyoshi Watari
Kiyoshi Watari is a scholar working on Hematology, Genetics, Immunology, Oncology and Genetics, having authored 16 papers that have together received 801 indexed citations. Recurring topics across this work include Blood disorders and treatments (5 papers), Neutropenia and Cancer Infections (4 papers), Acute Myeloid Leukemia Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Immune Response and Inflammation (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Immunotherapy and Immune Responses (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Hematology (248 citations), Immunology (333 citations), Oncology (262 citations), Genetics (222 citations) and Emergency Medicine (56 citations). Kiyoshi Watari has collaborated with scholars based in Japan, Canada and India. Frequent co-authors include S Asano, Naoki Shirafuji, H Kodo, Shinichi Kamachi, Fumimaro Takaku, Kazuhiro Ozawa, K Ozawa, F Takaku, Shigekazu Nagata and Satoru Matsuda. Their work appears in journals such as Blood, Cancer, FEBS Letters, Stem Cells and Journal of Clinical Investigation.
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.