Bin Fu
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
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- Retinoids in leukemia and cellular processes 2
-
- Acute Myeloid Leukemia Research 8
- Co-authors
- L. Jeffrey Medeiros (5 shared papers)Maitrayee Goswami (5 shared papers)Sa A. Wang (5 shared papers)Lei Jiang (1 shared paper)Qingbai Liu (1 shared paper)Meng Li (1 shared paper)Guilin Tang (3 shared papers)Guillermo Garcia‐Manero (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)British Journal of Haematology (1 paper)Frontiers in Aging Neuroscience (1 paper)Leukemia Research (1 paper)BMC Pulmonary Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Fu
28 papers receiving 642 citations
Peers
Comparison fields: 5 of 67
- Hematology 249
- Genetics 163
- Cancer Research 136
- Molecular Biology 314
- Biological Psychiatry 11
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 2014 | 88 | |
| 3 | 2021 | 73 | |
| 4 | 2014 | 60 | |
| 5 | 2013 | 41 | |
| 6 | 2015 | 37 | |
| 7 | 2020 | 29 | |
| 8 | 2019 | 24 | |
| 9 | 2016 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2013 | 18 | |
| 12 | 2017 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2024 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2013 | 9 | |
| 19 | 2010 | 9 | |
| 20 | 2017 | 8 |
About Bin Fu
Bin Fu is a scholar working on Molecular Biology, Hematology, Oncology, Surgery and Cancer Research, having authored 29 papers that have together received 647 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Histiocytic Disorders and Treatments (3 papers), Liver physiology and pathology (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Hematology (249 citations), Genetics (163 citations), Cancer Research (136 citations), Molecular Biology (314 citations) and Biological Psychiatry (11 citations). Bin Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include L. Jeffrey Medeiros, Maitrayee Goswami, Sa A. Wang, Lei Jiang, Qingbai Liu, Meng Li, Guilin Tang, Guillermo Garcia‐Manero, Mengdi Yang and Rong Hu. Their work appears in journals such as Biochemical and Biophysical Research Communications, British Journal of Haematology, Frontiers in Aging Neuroscience, Leukemia Research and BMC Pulmonary 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.