Yuko Fujiwara
- Hematology top 0.1%
- Acute Myeloid Leukemia Research 10
- Genetics top 0.1%
- Hemoglobinopathies and Related Disorders 23
- Molecular Biology top 0.1%
- Epigenetics and DNA Methylation 30
- RNA modifications and cancer 15
- CRISPR and Genetic Engineering 12
- Sphingolipid Metabolism and Signaling 12
- Congenital heart defects research 11
- Immunology top 0.5%
- Cell Biology top 0.2%
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- Erythrocyte Function and Pathophysiology 14
- Co-authors
- Stuart H. OrkinXiaohong MaoHaidi YangRamesh A. ShivdasaniMichael A. McDevittGuo‐Cheng YuanAlan CantorJonghwan Kim
- Cited by
- HematologyGeneticsMolecular Biology
- Partner nations
- United StatesJapanCanada
In The Last Decade
Yuko Fujiwara
178 papers receiving 21.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Hematology 4.2k
- Genetics 3.0k
- Molecular Biology 14.3k
- Immunology 3.2k
- Cell Biology 2.3k
Countries citing papers authored by Yuko Fujiwara
This map shows the geographic impact of Yuko Fujiwara'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 Fujiwara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Fujiwara more than expected).
Fields of papers citing papers by Yuko Fujiwara
This network shows the impact of papers produced by Yuko Fujiwara. 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 Fujiwara. The network helps show where Yuko Fujiwara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuko Fujiwara, 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 | 2024 | 4 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 7 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 31 | |
| 7 | 2018 | 3 | |
| 8 | 2017 | 26 | |
| 9 | 2016 | 73 | |
| 10 | 2016 | 36 | |
| 11 | 2015 | 3 | |
| 12 | BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis | 2015 | 2 |
| 13 | 2014 | 1 | |
| 14 | 2011 | 101 | |
| 15 | 2011 | 1 | |
| 16 | 2008 | 56 | |
| 17 | Effects of Foot Care Intervention on Self-Care Behavior in the Patients with Diabetes Mellitus | 2007 | 1 |
| 18 | 2006 | 54 | |
| 19 | 2005 | 333 | |
| 20 | Effect of removal of deep valleys on the evaluation of machined surfaces of wood | 2003 | 14 |
About Yuko Fujiwara
Yuko Fujiwara is a scholar working on Hematology, Genetics and Molecular Biology, having authored 182 papers that have together received 21.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (30 papers), Hemoglobinopathies and Related Disorders (23 papers), RNA modifications and cancer (15 papers), Erythrocyte Function and Pathophysiology (14 papers), CRISPR and Genetic Engineering (12 papers), Sphingolipid Metabolism and Signaling (12 papers), Congenital heart defects research (11 papers) and Acute Myeloid Leukemia Research (10 papers). The work is most often cited by research in Hematology (4.2k citations), Genetics (3.0k citations) and Molecular Biology (14.3k citations). Yuko Fujiwara has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Stuart H. Orkin, Xiaohong Mao, Haidi Yang, Ramesh A. Shivdasani, Michael A. McDevitt, Guo‐Cheng Yuan, Alan Cantor, Jonghwan Kim, Ying� Qin and Thomas T. Sato. Their work appears in journals such as Nature, Science and Cell.
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.