Hiroshi Yagasaki
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 35
- Acute Myeloid Leukemia Research 19
- Genetics top 2%
- Blood disorders and treatments 7
- Immunology top 10%
- T-cell and B-cell Immunology 7
- Oncology top 5%
- Polyomavirus and related diseases 13
- Viral-associated cancers and disorders 7
- Transplantation top 10%
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- Cytomegalovirus and herpesvirus research 7
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- Transplantation: Methods and Outcomes 6
- Co-authors
- Seiji KojimaYoshiyuki TakahashiAsahito HamaHideki MuramatsuTatsutoshi NakahataNao YoshidaMichio ItoNobuhiro Nishio
- Cited by
- HematologyGeneticsImmunology
- Journals
- Journal of Clinical Investigation (1 paper)Blood (19 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Hiroshi Yagasaki
100 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 103
- Hematology 1.1k
- Genetics 365
- Immunology 371
- Oncology 475
- Transplantation 38
Countries citing papers authored by Hiroshi Yagasaki
This map shows the geographic impact of Hiroshi Yagasaki'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 Hiroshi Yagasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Yagasaki more than expected).
Fields of papers citing papers by Hiroshi Yagasaki
This network shows the impact of papers produced by Hiroshi Yagasaki. 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 Hiroshi Yagasaki. The network helps show where Hiroshi Yagasaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroshi Yagasaki, 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 | 2023 | 1 | |
| 2 | 2020 | 4 | |
| 3 | 2017 | 18 | |
| 4 | 2014 | 22 | |
| 5 | 2014 | 79 | |
| 6 | 2013 | 6 | |
| 7 | 2011 | 1 | |
| 8 | 2011 | 40 | |
| 9 | 2010 | 53 | |
| 10 | 2010 | 28 | |
| 11 | 2010 | 44 | |
| 12 | 2009 | 27 | |
| 13 | 2009 | 37 | |
| 14 | 2009 | 18 | |
| 15 | 2008 | 48 | |
| 16 | 2008 | 3 | |
| 17 | 2006 | 27 | |
| 18 | 2004 | 24 | |
| 19 | 2003 | 22 | |
| 20 | 2000 | 232 |
About Hiroshi Yagasaki
Hiroshi Yagasaki is a scholar working on Hematology, Transplantation and Genetics, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (35 papers), Acute Myeloid Leukemia Research (19 papers), Polyomavirus and related diseases (13 papers), Cytomegalovirus and herpesvirus research (7 papers), T-cell and B-cell Immunology (7 papers), Blood disorders and treatments (7 papers), Viral-associated cancers and disorders (7 papers) and Transplantation: Methods and Outcomes (6 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (365 citations) and Immunology (371 citations). Hiroshi Yagasaki has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Seiji Kojima, Yoshiyuki Takahashi, Asahito Hama, Hideki Muramatsu, Tatsutoshi Nakahata, Nao Yoshida, Michio Ito, Nobuhiro Nishio, Abdel H. Kafrawy and Kazuko Kudo. Their work appears in journals such as Journal of Clinical Investigation, Blood and Clinical Infectious Diseases.
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.