Fenfen Fu

481 total citations
12 papers, 279 citations indexed

About

Fenfen Fu is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Fenfen Fu has authored 12 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Hematology. Recurrent topics in Fenfen Fu's work include Extracellular vesicles in disease (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer Research and Treatments (2 papers). Fenfen Fu is often cited by papers focused on Extracellular vesicles in disease (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer Research and Treatments (2 papers). Fenfen Fu collaborates with scholars based in China, United States and Japan. Fenfen Fu's co-authors include Qiongyan Zou, Wenjun Yi, Lei Pei, An‐Yuan Guo, Haijun Wu, Zhichao Chen, Qiubai Li, Hongxiang Wang, Guolin Yuan and Liming Zhang and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Archives of Biochemistry and Biophysics.

In The Last Decade

Fenfen Fu

11 papers receiving 278 citations

Peers

Fenfen Fu

CCM

ONCOL

HEMAT

Sergio Martínez-Høyer Spain

Nikki A. Evensen United States

Harinath Bahudhanapati United States

Dorothée Michaux France

Timothy Lofton United States

Derrick Wong United States

Isabel Moreno–Miralles United States

Jin Luo China

Elizabeth Murray United Kingdom

Michela Faleschini Italy

Sergio Martínez-Høyer Spain

Fenfen Fu

151 ×0.7

37 ×0.4

13 ×0.2

CCM

50 ×1.3

ONCOL

61 ×1.9

HEMAT

Citations per year, relative to Fenfen Fu Fenfen Fu (= 1×) peers Sergio Martínez-Høyer

Countries citing papers authored by Fenfen Fu

Since Specialization

Citations

This map shows the geographic impact of Fenfen 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 Fenfen Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenfen Fu more than expected).

Fields of papers citing papers by Fenfen Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fenfen 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 Fenfen Fu. The network helps show where Fenfen Fu may publish in the future.

Co-authorship network of co-authors of Fenfen Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Fenfen Fu. A scholar is included among the top collaborators of Fenfen 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 Fenfen Fu. Fenfen Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Fu, Fenfen, Senthil K. Sundaram, Dingge Ying, et al.. (2021). Association between 15 known or potential breast cancer susceptibility genes and breast cancer risks in Chinese women. Cancer Biology and Medicine. 18(-). 0–0. 10 indexed citations

Fu, Fenfen, Yonghui Zhang, Jie Sun, et al.. (2021). Predictors of sentinel lymph node metastasis in Chinese women with clinical T1-T2 N0 breast cancer and a normal axillary ultrasound. Acta Radiologica. 63(11). 1463–1468.

Zhang, Liming, Qian Lei, Hongxiang Wang, et al.. (2018). Tumor-derived extracellular vesicles inhibit osteogenesis and exacerbate myeloma bone disease. Theranostics. 9(1). 196–209. 55 indexed citations

Fu, Fenfen, Hongxiang Wang, Liming Zhang, et al.. (2017). BCR-ABL1-positive microvesicles malignantly transform human bone marrow mesenchymal stem cells in vitro. Acta Pharmacologica Sinica. 38(11). 1475–1485. 17 indexed citations

Fu, Fenfen, Tao Zhang, Qiongyan Zou, et al.. (2016). Expression of receptor protein tyrosine phosphatase ζ is a risk factor for triple negative breast cancer relapse. Biomedical Reports. 4(2). 167–172. 14 indexed citations

Zou, Qiongyan, et al.. (2016). RKIP suppresses the proliferation and metastasis of breast cancer cell lines through up-regulation of miR-185 targeting HMGA2. Archives of Biochemistry and Biophysics. 610. 25–32. 40 indexed citations

Zhu, Xiaojian, Y. Nancy You, Chen Zeng, et al.. (2014). BCR-ABL1–positive microvesicles transform normal hematopoietic transplants through genomic instability: implications for donor cell leukemia. Leukemia. 28(8). 1666–1675. 54 indexed citations

Zhang, Shulong, Yunlong Xia, Fenfen Fu, et al.. (2013). SNP rs3825214 in TBX5 Is Associated with Lone Atrial Fibrillation in Chinese Han Population. PLoS ONE. 8(5). e64966–e64966. 18 indexed citations

Yi, Wenjun, Jing Peng, Yajie Zhang, et al.. (2013). [Differential protein expressions in breast cancer between drug sensitive tissues and drug resistant tissues].. PubMed. 38(2). 148–54. 3 indexed citations

10.

Yi, Wenjun, Jing Peng, Yajie Zhang, et al.. (2013). Differential protein expressions in breast cancer between drug sensitive tissues and drug resistant tissues.. PubMed. 2(2). 62–8. 5 indexed citations

11.

Wang, Pengyun, Qinbo Yang, Xiaofen Wu, et al.. (2010). Functional dominant-negative mutation of sodium channel subunit gene SCN3B associated with atrial fibrillation in a Chinese GeneID population. Biochemical and Biophysical Research Communications. 398(1). 98–104. 62 indexed citations

12.

Kubo, Seiji, Gregory M. Cooper, Julie A. Phillippi, et al.. (2007). 9.5 Blocking VEGF with sFlti improves the chondrogenic regeneration capacity of skeletal muscle-derived stem cells. Osteoarthritis and Cartilage. 15. B67–B67. 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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