Bin Fu
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 14
- Hematopoietic Stem Cell Transplantation 13
- Platelet Disorders and Treatments 1
- Genetics 3
- Virus-based gene therapy research 3
- Hemoglobinopathies and Related Disorders 3
- Co-authors
- Liren Wang (2 shared papers)Fangping Chen (4 shared papers)Dali Li (3 shared papers)Mingyao Liu (3 shared papers)Jian Hu (4 shared papers)Yuxuan Wu (5 shared papers)Xin Wang (1 shared paper)Yajing Xu (9 shared papers)
In The Last Decade
Bin Fu
22 papers receiving 328 citations
Bin Fu's Hit Papers
Peers
Comparison fields: 5 of 35
- Genetics 100
- Hematology 86
- Molecular Biology 133
- Genetics 47
- Immunology 26
Countries citing papers authored by Bin Fu
This map shows the geographic impact of Bin Fu'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 Bin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Fu more than expected).
Fields of papers citing papers by Bin Fu
This network shows the impact of papers produced by Bin Fu. 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 Bin Fu. The network helps show where Bin Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CRISPR–Cas9-mediated gene editing of the BCL11A enhancer for pediatric β0/β0 transfusion-dependent β-thalassemia Hit paper breakdown → | 2022 | 140 |
| 2 | 2020 | 62 | |
| 3 | 2015 | 23 | |
| 4 | 2019 | 18 | |
| 5 | 2021 | 16 | |
| 6 | 2023 | 13 | |
| 7 | 2013 | 8 | |
| 8 | 2020 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2025 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2005 | 1 |
About Bin Fu
Bin Fu is a scholar working on Hematology, Genetics, Genetics, Immunology and Oncology, having authored 22 papers that have together received 333 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Virus-based gene therapy research (3 papers), Hemoglobinopathies and Related Disorders (3 papers), CRISPR and Genetic Engineering (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), RNA Interference and Gene Delivery (1 paper), Viral-associated cancers and disorders (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Genetics (100 citations), Hematology (86 citations), Molecular Biology (133 citations), Genetics (47 citations) and Immunology (26 citations). Bin Fu has collaborated with scholars based in China, Japan and India. Frequent co-authors include Liren Wang, Fangping Chen, Dali Li, Mingyao Liu, Jian Hu, Yuxuan Wu, Xin Wang, Yajing Xu, Jiaoyang Liao and Fei Yang. Their work appears in journals such as Transplantation and Cellular Therapy, Frontiers in Immunology, Science China Life Sciences, HemaSphere and Nature Medicine.
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.