Bin Fu

2.5k citations
143 papers · 1.9k · h-index 25

Impact in

Papers in

    • Renal cell carcinoma treatment 31
    • Prostate Cancer Diagnosis and Treatment 11
    • Ferroptosis and cancer prognosis 10
    • Prostate Cancer Treatment and Research 5
    • Bladder and Urothelial Cancer Treatments 36
    • Adrenal and Paraganglionic Tumors 9

Bin Fu

134 papers receiving 1.8k citations

Peers

Bin Fu
Comparison fields: 5 of 89
  • Cancer Research 237
  • Pulmonary and Respiratory Medicine 410
  • Surgery 485
  • Pediatrics, Perinatology and Child Health 95
  • Oncology 141
Replace KONSTANTINOS G. STRAVODIMOS with:
KONSTANTINOS G. STRAVODIMOS Greece
Marcella M.L.L. Baldewijns Belgium
Ryoichi Imamura Japan
Stella D’Oronzo Italy
Lan Yang China
Jonas Felix Busch Germany
Hannes Steiner Austria
Alexander von Ruecker Germany
Ping Yuan China
Alaa M Afify United States
Bin Fu relative to KONSTANTINOS G. STRAVODIMOS Greece KONSTANTINOS G. STRAVODIMOS's profile →
Citations per field
00.5×1.5×2.0×
KONSTANTINOS G. STRAVODIMOS · 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 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 200772
3 201165
4 200661
5
miR-451 inhibits invasion and proliferation of bladder cancer by regulating EMT.
201451
6 201551
7 201842
8 201942
9 202042
10 200741
11 202141
12 202140
13 200739
14 201937
15 200536
16 202036
17 201533
18 202132
19 202232
20 200529

About Bin Fu

Bin Fu is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Cancer Research, Oncology and Molecular Biology, having authored 143 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (36 papers), Renal cell carcinoma treatment (31 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Ferroptosis and cancer prognosis (10 papers), Adrenal and Paraganglionic Tumors (9 papers), Cancer-related molecular mechanisms research (6 papers), Prostate Cancer Treatment and Research (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (237 citations), Pulmonary and Respiratory Medicine (410 citations), Surgery (485 citations), Pediatrics, Perinatology and Child Health (95 citations) and Oncology (141 citations). Bin Fu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Wen Deng, Xiaoqiang Liu, Gongxian Wang, Luyao Chen, Bin Lang, Xin Ma, Hongzhao Li, Jun Zhang, Ke Zhu and Xiaochen Zhou. Their work appears in journals such as Frontiers in Oncology, Journal of Endourology, The Journal of Urology, Journal of Oncology and Urology.

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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