Zan Fu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
-
- Andrographolide Research and Applications
- Acupuncture Treatment Research Studies
Papers in
- Oncology 8
- Colorectal Cancer Surgical Treatments 4
- Cancer Cells and Metastasis 2
-
- Cancer-related molecular mechanisms research 3
- Co-authors
- Changzhi Huang (19 shared papers)Shijia Wang (4 shared papers)Chuan Zhang (4 shared papers)Yueming Sun (6 shared papers)Tao Hu (4 shared papers)Yanhong Gu (2 shared papers)Jingyu Wu (8 shared papers)Meilin Wang (5 shared papers)
- Journals
- Archives of Toxicology (4 papers)Frontiers in Genetics (3 papers)Frontiers in Oncology (2 papers)World Journal of Surgical Oncology (2 papers)Obesity (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zan Fu
49 papers receiving 848 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 80
- Complementary and alternative medicine 52
- Oncology 130
- Molecular Biology 130
- Reproductive Medicine 18
Countries citing papers authored by Zan Fu
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
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.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2018 | 62 | |
| 3 | 2023 | 53 | |
| 4 | 2019 | 50 | |
| 5 | 2018 | 48 | |
| 6 | Clinical studies on the mechanism for acupuncture stimulation of ovulation. | 1993 | 47 |
| 7 | 2018 | 36 | |
| 8 | 2019 | 36 | |
| 9 | 2014 | 31 | |
| 10 | 2021 | 28 | |
| 11 | 2023 | 28 | |
| 12 | 2016 | 27 | |
| 13 | 2017 | 25 | |
| 14 | 2024 | 25 | |
| 15 | 2017 | 23 | |
| 16 | 2018 | 21 | |
| 17 | 2006 | 20 | |
| 18 | 2021 | 20 | |
| 19 | 2024 | 19 | |
| 20 | 2017 | 18 |
About Zan Fu
Zan Fu is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Complementary and alternative medicine, having authored 52 papers that have together received 868 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (4 papers), Genetic factors in colorectal cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Cells and Metastasis (2 papers), Ubiquitin and proteasome pathways (2 papers), RNA modifications and cancer (2 papers), Cholesterol and Lipid Metabolism (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (80 citations), Complementary and alternative medicine (52 citations), Oncology (130 citations), Molecular Biology (130 citations) and Reproductive Medicine (18 citations). 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, Yanhong Gu, Jingyu Wu, Meilin Wang, Dongjian Ji and Mulong Du. 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.