Zan Fu

1.1k citations
52 papers · 868 · h-index 19

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies
    • Colorectal Cancer Surgical Treatments
    • Cancer Cells and Metastasis

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Colorectal Cancer Surgical Treatments 4
    • Colorectal Cancer Treatments and Studies 4
    • Cancer Cells and Metastasis 3
    • Cancer-related molecular mechanisms research 4

Zan Fu

49 papers receiving 848 citations

Peers

Zan Fu
Comparison fields: 5 of 73
  • Cancer Research 132
  • Oncology 216
  • Complementary and alternative medicine 80
  • Molecular Biology 229
  • Drug Discovery 1
Replace Li Xie with:
Li Xie China
Jinghe Li China
Lu Hao China
Funeng Jiang China
MALCOLM D. MASON United Kingdom
Zhansheng Jiang China
Sima Orouei Iran
Ming Lv China
Fangying Xu China
Zan Fu relative to Li Xie China Li Xie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Zan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201684
2 201862
3 202353
4 201950
5 201848
6
Clinical studies on the mechanism for acupuncture stimulation of ovulation.
199347
7 201836
8 201936
9 201431
10 202128
11 202328
12 201627
13 201725
14 202425
15 201723
16 201821
17 200620
18 202120
19 202419
20 201718

About Zan Fu

Zan Fu is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 868 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Colorectal Cancer Surgical Treatments (4 papers), Ferroptosis and cancer prognosis (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Cells and Metastasis (3 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Cancer Research (132 citations), Oncology (216 citations), Complementary and alternative medicine (80 citations), Molecular Biology (229 citations) and Drug Discovery (1 citation). Zan Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Changzhi Huang, Shijia Wang, Chuan Zhang, Yueming Sun, Tao Hu, Jingyu Wu, Yanhong Gu, Dongjian Ji, Meilin Wang and Wenwei Qian. Their work appears in journals such as Archives of Toxicology, Frontiers in Genetics, Frontiers in Oncology, World Journal of Surgical Oncology and Obesity.

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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