Zan Fu

1.1k citations
50 papers · 761 indexed · h-index 18

Impact in

Papers in

    • RNA modifications and cancer 6
    • Epigenetics and DNA Methylation 5
    • Cancer-related molecular mechanisms research 7
    • Cancer, Hypoxia, and Metabolism 7
    • Cancer Genomics and Diagnostics 5

Zan Fu

47 papers receiving 754 citations

Peers

Zan Fu
Comparison fields: 5 of 88
  • Cancer Research 203
  • Complementary and alternative medicine 72
  • Oncology 234
  • Molecular Biology 387
  • Immunology 105
Replace Xuemei Fan with:
Xuemei Fan China
Zhigang Peng China
Dongxian Guan China
Fubin Feng China
Shunqin Long China
Yunfeng Shan China
Zhao Wu China
Qiujun Guo China
Xue Leng China
Changjie Lou China
Zan Fu relative to Xuemei Fan China Xuemei Fan's profile →
Citations per field
00.5×1.5×1.9×
Xuemei Fan · 1×
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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 201861
3 201949
4 201843
5 202342
6
Clinical studies on the mechanism for acupuncture stimulation of ovulation.
199342
7 201936
8 201834
9 202127
10 201426
11 202324
12 201623
13 201722
14 201721
15 201821
16 200619
17 202118
18 201717
19 202414
20 201813

About Zan Fu

Zan Fu is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pathology and Forensic Medicine, having authored 50 papers that have together received 761 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Genetic factors in colorectal cancer (6 papers), RNA modifications and cancer (6 papers), Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (5 papers), Ferroptosis and cancer prognosis (4 papers) and Colorectal and Anal Carcinomas (4 papers). The work is most often cited by research in Cancer Research (203 citations), Complementary and alternative medicine (72 citations), Oncology (234 citations), Molecular Biology (387 citations) and Immunology (105 citations). Zan Fu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shijia Wang, Chuan Zhang, Changzhi Huang, Yueming Sun, Tao Hu, Tao Han, Yanhong Gu, Wenwei Qian, Dongjian Ji and Yueming Sun. Their work appears in journals such as Archives of Toxicology, Frontiers in Genetics, Cell Reports Medicine, Obesity and World Journal of Surgical 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.

Explore authors with similar magnitude of impact