Noriko Shibuya
- Hematology top 10%
- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 3
- Astronomy and Astrophysics top 10%
- Solar and Space Plasma Dynamics 3
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- Diabetes and associated disorders 2
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- Protein Degradation and Inhibitors 4
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- Food Allergy and Anaphylaxis Research 3
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- Xenotransplantation and immune response 2
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- Infant Nutrition and Health 2
- Co-authors
- Tomohiko TakiYasuhide HayashiTakeshi TaketaniRyoji HanadaMasayoshi YanagisawaHans‐Michael DoschRoy K. CheungWölfram Karges
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Noriko Shibuya
24 papers receiving 644 citations
Peers
Comparison fields: 5 of 86
- Hematology 135
- Health, Toxicology and Mutagenesis 104
- Astronomy and Astrophysics 85
- Hepatology 34
- Genetics 98
Countries citing papers authored by Noriko Shibuya
This map shows the geographic impact of Noriko Shibuya'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 Noriko Shibuya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriko Shibuya more than expected).
Fields of papers citing papers by Noriko Shibuya
This network shows the impact of papers produced by Noriko Shibuya. 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 Noriko Shibuya. The network helps show where Noriko Shibuya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noriko Shibuya, 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 | 2021 | 15 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 10 | |
| 4 | 2015 | 0 | |
| 5 | [Dermatitis in early infancy as a risk factor for sensitization and allergic diseases during the first year of life]. | 2013 | 3 |
| 6 | 2007 | 59 | |
| 7 | 2007 | 60 | |
| 8 | 2006 | 2 | |
| 9 | 2004 | 13 | |
| 10 | 2002 | 92 | |
| 11 | Novel NUP98-HOXC11 fusion gene resulted from a chromosomal break within exon 1 of HOXC11 in acute myeloid leukemia with t(11;12)(p15;q13). | 2002 | 63 |
| 12 | The HOXD11 gene is fused to the NUP98 gene in acute myeloid leukemia with t(2;11)(q31;p15). | 2002 | 66 |
| 13 | 2002 | 15 | |
| 14 | 2001 | 21 | |
| 15 | [Effectiveness of hypoallergenic rice-by cast analysis]. | 1999 | 2 |
| 16 | 1997 | 52 | |
| 17 | 1985 | 56 | |
| 18 | 1984 | 3 | |
| 19 | 1980 | 7 | |
| 20 | 1971 | 24 |
About Noriko Shibuya
Noriko Shibuya is a scholar working on Hematology, Immunology and Allergy and Nutrition and Dietetics, having authored 25 papers that have together received 665 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Protein Degradation and Inhibitors (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Food Allergy and Anaphylaxis Research (3 papers), Solar and Space Plasma Dynamics (3 papers), Xenotransplantation and immune response (2 papers), Infant Nutrition and Health (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Hematology (135 citations), Health, Toxicology and Mutagenesis (104 citations) and Astronomy and Astrophysics (85 citations). Noriko Shibuya has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tomohiko Taki, Yasuhide Hayashi, Takeshi Taketani, Ryoji Hanada, Masayoshi Yanagisawa, Hans‐Michael Dosch, Roy K. Cheung, Wölfram Karges, Takehiko Yasumizu and Nobumasa Kato. Their work appears in journals such as Blood, PEDIATRICS and Diabetes.
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.