Tetsuya Hagiwara
- Hematology top 1%
- Platelet Disorders and Treatments 13
- Hematopoietic Stem Cell Transplantation 6
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 3
- Immunology top 10%
- T-cell and B-cell Immunology 3
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 4
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- Blood properties and coagulation 3
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- Heparin-Induced Thrombocytopenia and Thrombosis 2
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- Antiplatelet Therapy and Cardiovascular Diseases 2
- Co-authors
- Hiroshi MiyazakiKentaro HosokawaTakao TakahashiToshio SudaHiroki YoshiharaKeiyo TakuboSahoko MatsuokaYuka Nakamura
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tetsuya Hagiwara
26 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Hematology 765
- Genetics 265
- Immunology 416
- Immunology and Allergy 110
- Cell Biology 95
Countries citing papers authored by Tetsuya Hagiwara
This map shows the geographic impact of Tetsuya Hagiwara'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 Tetsuya Hagiwara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Hagiwara more than expected).
Fields of papers citing papers by Tetsuya Hagiwara
This network shows the impact of papers produced by Tetsuya Hagiwara. 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 Tetsuya Hagiwara. The network helps show where Tetsuya Hagiwara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuya Hagiwara, 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 | 2025 | 0 | |
| 2 | 2020 | 10 | |
| 3 | 2017 | 1 | |
| 4 | 2017 | 5 | |
| 5 | 2016 | 24 | |
| 6 | 2014 | 29 | |
| 7 | 2011 | 8 | |
| 8 | 2008 | 3 | |
| 9 | 2007 | 23 | |
| 10 | 2002 | 112 | |
| 11 | 2000 | 15 | |
| 12 | 1998 | 16 | |
| 13 | 1998 | 6 | |
| 14 | 1998 | 16 | |
| 15 | 1996 | 33 | |
| 16 | 1996 | 8 | |
| 17 | GpIIb/IIIa+ subpopulation of rat megakaryocyte progenitor cells exhibits high responsiveness to human thrombopoietin. | 1996 | 16 |
| 18 | Expression of adhesion molecules on cytoplasmic processes of human megakaryocytes. | 1996 | 18 |
| 19 | 1994 | 1 | |
| 20 | 1992 | 5 |
About Tetsuya Hagiwara
Tetsuya Hagiwara is a scholar working on Medical Terminology, Hematology and Immunology and Allergy, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (13 papers), Hematopoietic Stem Cell Transplantation (6 papers), Cell Adhesion Molecules Research (4 papers), Blood properties and coagulation (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), T-cell and B-cell Immunology (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Hematology (765 citations), Genetics (265 citations) and Immunology (416 citations). Tetsuya Hagiwara has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hiroshi Miyazaki, Kentaro Hosokawa, Takao Takahashi, Toshio Suda, Hiroki Yoshihara, Keiyo Takubo, Sahoko Matsuoka, Yuka Nakamura, Fumio Arai and Kana Miyamoto.
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.