Kiyoshi Watari
- Hematology top 5%
- Acute Myeloid Leukemia Research 3
- Hematopoietic Stem Cell Transplantation 3
- Immunology top 10%
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 2
- Immunodeficiency and Autoimmune Disorders 2
- Oncology top 10%
- Neutropenia and Cancer Infections 4
- Genetics top 10%
- Blood disorders and treatments 6
- Virus-based gene therapy research 2
- Emergency Medicine top 10%
- Cited by
- HematologyImmunologyOncology
In The Last Decade
Kiyoshi Watari
15 papers receiving 776 citations
Peers
Comparison fields: 5 of 74
- Hematology 263
- Immunology 368
- Oncology 290
- Genetics 242
- Emergency Medicine 65
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-authorship network
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 | 2002 | 3 | |
| 2 | 2002 | 5 | |
| 3 | 2000 | 40 | |
| 4 | 2000 | 1 | |
| 5 | 2000 | 1 | |
| 6 | 2000 | 11 | |
| 7 | 1996 | 18 | |
| 8 | 1994 | 21 | |
| 9 | 1994 | 19 | |
| 10 | [Pharmacokinetics of hematopoietic growth factors and granulopoiesis. The pathophysiology of human granulocyte colony-stimulating factor]. | 1993 | 0 |
| 11 | 1990 | 3 | |
| 12 | 1989 | 33 | |
| 13 | 1989 | 244 | |
| 14 | 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 | 97 |
| 15 | 1989 | 283 | |
| 16 | Phase I clinical study for recombinant human granulocyte colony-stimulating factor. | 1988 | 20 |
About Kiyoshi Watari
Kiyoshi Watari is a scholar working on Hematology, Immunology, Genetics, Oncology and Genetics, having authored 16 papers that have together received 799 indexed citations. Recurring topics across this work include Blood disorders and treatments (6 papers), Neutropenia and Cancer Infections (4 papers), Acute Myeloid Leukemia Research (3 papers), Immune Response and Inflammation (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Virus-based gene therapy research (2 papers), Immunotherapy and Immune Responses (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (263 citations), Immunology (368 citations), Oncology (290 citations), Genetics (242 citations) and Emergency Medicine (65 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, Stem Cells, FEBS Letters and American Journal of Hematology.
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.