Kiyoshi Watari

1.0k citations
17 papers · 931 · h-index 11

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
    • Immunotherapy and Immune Responses 3
    • Immune Response and Inflammation 3

Kiyoshi Watari

17 papers receiving 887 citations

Peers

Kiyoshi Watari
Comparison fields: 5 of 72
  • Hematology 264
  • Immunology 418
  • Oncology 324
  • Genetics 256
  • Emergency Medicine 63
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Citations per field
00.5×2×4×6.5×
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Citations per year

Countries citing papers authored by Kiyoshi Watari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kiyoshi Watari Line = papers co-authored together Kiyoshi Watari links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1989298
2 1989259
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.
198999
4 200475
5 200041
6 198935
7
Phase I clinical study for recombinant human granulocyte colony-stimulating factor.
198822
8 199421
9 199421
10 199618
11 200015
12 200011
13 20027
14 20023
15 19903
16 20002
17 20001

About Kiyoshi Watari

Kiyoshi Watari is a scholar working on Hematology, Immunology, Genetics, Oncology and Biotechnology, having authored 17 papers that have together received 931 indexed citations. Recurring topics across this work include Blood disorders and treatments (4 papers), Acute Myeloid Leukemia Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Immunotherapy and Immune Responses (3 papers), Neutropenia and Cancer Infections (3 papers), Virus-based gene therapy research (3 papers), Immune Response and Inflammation (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Hematology (264 citations), Immunology (418 citations), Oncology (324 citations), Genetics (256 citations) and Emergency Medicine (63 citations). Kiyoshi Watari has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Naoki Shirafuji, S Asano, Hideki Kodo, Shinichi Kamachi, Fumimaro Takaku, Kazuhiro Ozawa, Katsusuke OZAWA, F Takaku, Shigekazu Nagata and Satoru Matsuda. Their work appears in journals such as Blood, Cancer, Stem Cells, Molecular Therapy 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.

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