Yang Fu

489 citations
18 papers · 359 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • NF-κB Signaling Pathways
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing

Papers in

    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 5
    • RNA modifications and cancer 9
    • Circular RNAs in diseases 3

Yang Fu

15 papers receiving 353 citations

Peers

Yang Fu
Comparison fields: 5 of 48
  • Cancer Research 238
  • Molecular Biology 282
  • Gastroenterology 13
  • Ophthalmology 18
  • Oncology 54
Replace Xiangqiong Mo with:
Xiangqiong Mo China
Zhaojie Lv China
Pailan Peng China
Xuling Sun China
Nanhong Tang China
Feiye Liu China
Xiaochuang Feng China
Dimitrios Matthaios Greece
Qingjiang Chen China
Baozhong Li China
Yang Fu relative to Xiangqiong Mo China Xiangqiong Mo's profile →
Citations per field
00.5×3.5×
Xiangqiong Mo · 1×
Citations per year

Countries citing papers authored by Yang Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yang 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 Yang Fu Line = papers co-authored together Yang Fu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201391
2 201845
3 201832
4 201631
5 202030
6 201724
7 201922
8 201516
9 201916
10 202014
11 201712
12 202012
13 201611
14 20252
15 20141
16 20250
17 20250
18 20240

About Yang Fu

Yang Fu is a scholar working on Cancer Research, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 18 papers that have together received 359 indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (3 papers), interferon and immune responses (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Cancer Research (238 citations), Molecular Biology (282 citations), Gastroenterology (13 citations), Ophthalmology (18 citations) and Oncology (54 citations). Yang Fu has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Ge Yang, Xiefu Zhang, Jianwu Jiang, Yang Yu, Xiaoyan Lu, Menghua Wang, Yanwei Ye, Hongtao Dong, Cong Peng and Ya Cao. Their work appears in journals such as Oncotarget, Cancer Research, Molecular Carcinogenesis, Biochemistry and Cell Biology and Oncology Reports.

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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