Bin Fu

930 total citations
29 papers, 647 citations indexed

About

Bin Fu is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Bin Fu has authored 29 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Hematology and 6 papers in Oncology. Recurrent topics in Bin Fu's work include Acute Myeloid Leukemia Research (8 papers), Histiocytic Disorders and Treatments (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). Bin Fu is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Histiocytic Disorders and Treatments (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). Bin Fu collaborates with scholars based in China, United States and United Kingdom. Bin Fu's co-authors include Maitrayee Goswami, L. Jeffrey Medeiros, Sa A. Wang, Meng Li, Qingbai Liu, Lei Jiang, Guilin Tang, Guillermo Garcia‐Manero, Mengdi Yang and Rong Hu and has published in prestigious journals such as Biochemical and Biophysical Research Communications, European Journal of Pharmacology and Journal of Cellular Physiology.

In The Last Decade

Bin Fu

28 papers receiving 642 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bin Fu China 14 314 249 163 136 74 29 647
Anna Rogers United States 13 236 0.8× 233 0.9× 173 1.1× 63 0.5× 89 1.2× 15 679
Anetta Ptasinska United Kingdom 17 480 1.5× 323 1.3× 51 0.3× 79 0.6× 73 1.0× 29 864
Sida Zhao China 11 209 0.7× 123 0.5× 106 0.7× 102 0.8× 62 0.8× 32 432
Gregory N. Adams United States 10 194 0.6× 126 0.5× 135 0.8× 55 0.4× 77 1.0× 15 550
Mariko Takenokuchi Japan 12 317 1.0× 162 0.7× 63 0.4× 198 1.5× 52 0.7× 30 609
Abbey Willcox Australia 5 259 0.8× 274 1.1× 68 0.4× 30 0.2× 94 1.3× 14 587
Hele Everaus Estonia 12 177 0.6× 167 0.7× 76 0.5× 36 0.3× 180 2.4× 36 586
Harold K. Elias United States 12 236 0.8× 84 0.3× 48 0.3× 50 0.4× 110 1.5× 28 565
Kiyotaka Kawauchi Japan 15 279 0.9× 207 0.8× 220 1.3× 40 0.3× 156 2.1× 36 806

Countries citing papers authored by Bin Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bin Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Fu. A scholar is included among the top collaborators of Bin Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Fu. Bin Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Tao, Bin Fu, Mengdi Yang, et al.. (2024). Intercellular adhesion molecule-1 suppresses TMZ chemosensitivity in acquired TMZ-resistant gliomas by increasing assembly of ABCB1 on the membrane. Drug Resistance Updates. 76. 101112–101112. 11 indexed citations
2.
Chen, Yaxin, Ruoyu Wu, Xingyan Li, et al.. (2024). β-Lapachone, an NQO1 bioactivatable drug, prevents lung tumorigenesis in mice. European Journal of Pharmacology. 973. 176511–176511. 3 indexed citations
3.
Li, Tao, Bin Fu, Xin Zhang, et al.. (2021). Overproduction of Gastrointestinal 5-HT Promotes Colitis-Associated Colorectal Cancer Progression via Enhancing NLRP3 Inflammasome Activation. Cancer Immunology Research. 9(9). 1008–1023. 73 indexed citations
4.
Li, Xueru, et al.. (2021). Correlation between severity of spinal stenosis and multifidus atrophy in degenerative lumbar spinal stenosis. BMC Musculoskeletal Disorders. 22(1). 536–536. 14 indexed citations
5.
Nie, Kechao, Zhihua Zheng, Yi Wen, et al.. (2020). Construction and validation of a TP53-associated immune prognostic model for gastric cancer. Genomics. 112(6). 4788–4795. 29 indexed citations
6.
Jin, Xin, Bin Fu, Zhengjie Wu, et al.. (2020). Serum chitinase-3-like protein 1 is a biomarker of liver fibrosis in patients with chronic hepatitis B in China. Hepatobiliary & pancreatic diseases international. 19(4). 384–389. 13 indexed citations
7.
Xu, Xuejun, et al.. (2020). HMGB1 Recruits TET2/AID/TDG to Induce DNA Demethylation in STAT3 Promoter in CD4 + T Cells from aGVHD Patients. Journal of Immunology Research. 2020(1). 7165230–7165230. 2 indexed citations
8.
Liu, Jin, Li Jiang, Long Liang, et al.. (2019). GDF11 contributes to hepatic hepcidin (HAMP) inhibition through SMURF1‐mediated BMP‐SMAD signalling suppression. British Journal of Haematology. 188(2). 321–331. 17 indexed citations
9.
Liu, Qingbai, et al.. (2019). METTL3 promotes experimental osteoarthritis development by regulating inflammatory response and apoptosis in chondrocyte. Biochemical and Biophysical Research Communications. 516(1). 22–27. 106 indexed citations
11.
Peng, Jie, et al.. (2017). Effect of NPM1 type B mutation on the proliferation, invasion and chemosensitivity of THP-1 leukemia cells.. PubMed. 72(10). 608–613. 2 indexed citations
12.
Wang, Zhongqing, et al.. (2015). Primary Thyroid Lymphoma Has Different Sonographic and Color Doppler Features Compared to Nodular Goiter. Journal of Ultrasound in Medicine. 34(2). 317–323. 19 indexed citations
14.
Tang, Guilin, Liping Zhang, Bin Fu, et al.. (2014). Cytogenetic risk stratification of 417 patients with chronic myelomonocytic leukemia from a single institution. American Journal of Hematology. 89(8). 813–818. 60 indexed citations
15.
Ok, Chi Young, Keyur P. Patel, Guillermo Garcia‐Manero, et al.. (2014). Mutational profiling of therapy-related myelodysplastic syndromes and acute myeloid leukemia by next generation sequencing, a comparison with de novo diseases. Leukemia Research. 39(3). 348–354. 88 indexed citations
16.
Fu, Bin, Jesse Jaso, Rachel L. Sargent, et al.. (2013). Bone marrow fibrosis in patients with primary myelodysplastic syndromes has prognostic value using current therapies and new risk stratification systems. Modern Pathology. 27(5). 681–689. 41 indexed citations
17.
Wei, Rui, et al.. (2013). Frequent BRAFV600E mutation has no effect on tumor invasiveness in patients with Langerhans cell histiocytosis. Biomedical Reports. 1(3). 365–368. 9 indexed citations
18.
Fu, Bin, Chi Young Ok, Maitrayee Goswami, et al.. (2013). The clinical importance of moderate/severe bone marrow fibrosis in patients with therapy-related myelodysplastic syndromes. Annals of Hematology. 92(10). 1335–1343. 18 indexed citations
19.
LaPan, Peter, Jeff Brady, Christal Grierson, et al.. (2010). Optimization of total protein and activity assays for the detection of MMP-12 in induced human sputum. BMC Pulmonary Medicine. 10(1). 40–40. 9 indexed citations
20.
Wang, Dongsheng, Fang‐Ping Chen, Changjiang Xiao, et al.. (2005). Plasma pharmacological study on Da huang zhe chong capsule on platelet aggregation of normal person. Journal of Central South University of Technology. 12(S1). 326–330. 1 indexed citations

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.

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