Bin Fu

3.4k citations
176 papers · 2.2k · h-index 27

Impact in

Papers in

    • Circular RNAs in diseases 11
    • Epigenetics and DNA Methylation 8
    • Bladder and Urothelial Cancer Treatments 32
    • Adrenal and Paraganglionic Tumors 8

Bin Fu

161 papers receiving 2.1k citations

Peers

Bin Fu
Comparison fields: 5 of 128
  • Cancer Research 370
  • Pulmonary and Respiratory Medicine 385
  • Surgery 475
  • Urology 57
  • Molecular Biology 689
Replace Luka Brčić with:
Luka Brčić Austria
Jinbo Chen China
Xiongbing Zu China
Yun‐Sok Ha South Korea
Kathleen C. Torkko United States
Marius Raica Romania
Gang Wu China
Chuanliang Xu China
Zhuowei Liu China
Keiichi Iwaya Japan
Bin Fu relative to Luka Brčić Austria Luka Brčić's profile →
Citations per field
00.5×2.7×
Luka Brčić · 1×
Citations per year

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-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.

Border = papers with Bin Fu Line = papers co-authored together Bin Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017115
2 202093
3 200771
4 201761
5 201159
6 200659
7 201551
8
miR-451 inhibits invasion and proliferation of bladder cancer by regulating EMT.
201450
9 201842
10 200740
11 202139
12 200738
13 202337
14 202137
15 201936
16 201936
17 200535
18 202033
19 202132
20 201132

About Bin Fu

Bin Fu is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 176 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (32 papers), Renal cell carcinoma treatment (20 papers), Ferroptosis and cancer prognosis (14 papers), Circular RNAs in diseases (11 papers), MicroRNA in disease regulation (9 papers), Epigenetics and DNA Methylation (8 papers), Adrenal and Paraganglionic Tumors (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Cancer Research (370 citations), Pulmonary and Respiratory Medicine (385 citations), Surgery (475 citations), Urology (57 citations) and Molecular Biology (689 citations). Bin Fu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Wen Deng, Xiaoqiang Liu, Gongxian Wang, Luyao Chen, Bin Lang, Xin Ma, Ailing Fu, Hongzhao Li, Kai Xu and Jun Zhang. Their work appears in journals such as Frontiers in Oncology, Journal of Endourology, The Journal of Urology, Frontiers in Immunology and Journal of Oncology.

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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