Yuko Hiruma
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Oncology 8
- Bone health and treatments 8
- Cancer-related Molecular Pathways 4
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- Multiple Myeloma Research and Treatments 4
- Co-authors
- Ikuo Morita (4 shared papers)Makoto Nakamura (2 shared papers)Setsuo Takatani (2 shared papers)Akihiko Watanabe (1 shared paper)Mikio HORIE (1 shared paper)Yasuhiko Iwasaki (1 shared paper)Akiko Kobayashi (1 shared paper)Katsuhiro Ohuchi (1 shared paper)
- Journals
- Blood (3 papers)Biochemical and Biophysical Research Communications (2 papers)Clinical Immunology (1 paper)ASAIO Journal (1 paper)Tissue Engineering (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Yuko Hiruma
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Automotive Engineering 220
- Immunology 268
- Oncology 297
- Biomedical Engineering 438
- Orthopedics and Sports Medicine 67
Countries citing papers authored by Yuko Hiruma
This map shows the geographic impact of Yuko Hiruma'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 Yuko Hiruma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Hiruma more than expected).
Fields of papers citing papers by Yuko Hiruma
This network shows the impact of papers produced by Yuko Hiruma. 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 Yuko Hiruma. The network helps show where Yuko Hiruma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Hiruma, 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 | 2005 | 456 | |
| 2 | 2008 | 395 | |
| 3 | 2006 | 97 | |
| 4 | 2011 | 88 | |
| 5 | 2008 | 70 | |
| 6 | 2009 | 48 | |
| 7 | 2003 | 30 | |
| 8 | 2007 | 28 | |
| 9 | 2012 | 15 | |
| 10 | 2008 | 13 | |
| 11 | 2013 | 10 | |
| 12 | 2008 | 4 | |
| 13 | 2009 | 4 | |
| 14 | 2006 | 2 | |
| 15 | 2004 | 0 |
About Yuko Hiruma
Yuko Hiruma is a scholar working on Oncology, Hematology, Biomaterials, Pathology and Forensic Medicine and Molecular Biology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone health and treatments (8 papers), Cancer-related Molecular Pathways (4 papers), Multiple Myeloma Research and Treatments (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Hepatitis B Virus Studies (2 papers), Vitamin D Research Studies (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Automotive Engineering (220 citations), Immunology (268 citations), Oncology (297 citations), Biomedical Engineering (438 citations) and Orthopedics and Sports Medicine (67 citations). Yuko Hiruma has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Ikuo Morita, Makoto Nakamura, Setsuo Takatani, Akihiko Watanabe, Mikio HORIE, Yasuhiko Iwasaki, Akiko Kobayashi, Katsuhiro Ohuchi, Won‐Woo Lee and David L. Lamar. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications, Clinical Immunology, ASAIO Journal and Tissue Engineering.
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.