Zan Fu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
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- Andrographolide Research and Applications
Papers in
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- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 5
- Ubiquitin and proteasome pathways 3
- Single-cell and spatial transcriptomics 3
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- Cancer-related molecular mechanisms research 5
- Cancer, Hypoxia, and Metabolism 5
- Cancer Genomics and Diagnostics 3
- Co-authors
- Shijia Wang (4 shared papers)Changzhi Huang (19 shared papers)Chuan Zhang (4 shared papers)Tao Hu (4 shared papers)Yueming Sun (6 shared papers)Yanhong Gu (2 shared papers)Dongjian Ji (3 shared papers)Tao Han (3 shared papers)
- Journals
- Archives of Toxicology (4 papers)Frontiers in Genetics (3 papers)Obesity (2 papers)Frontiers in Oncology (2 papers)World Journal of Surgical Oncology (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Zan Fu
48 papers receiving 792 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 173
- Complementary and alternative medicine 69
- Oncology 199
- Immunology 104
- Molecular Biology 343
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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 83 | |
| 2 | 2018 | 61 | |
| 3 | 2019 | 50 | |
| 4 | Clinical studies on the mechanism for acupuncture stimulation of ovulation. | 1993 | 47 |
| 5 | 2023 | 45 | |
| 6 | 2018 | 44 | |
| 7 | 2019 | 36 | |
| 8 | 2018 | 34 | |
| 9 | 2021 | 28 | |
| 10 | 2014 | 27 | |
| 11 | 2023 | 26 | |
| 12 | 2017 | 25 | |
| 13 | 2016 | 25 | |
| 14 | 2017 | 23 | |
| 15 | 2018 | 21 | |
| 16 | 2021 | 19 | |
| 17 | 2006 | 19 | |
| 18 | 2017 | 17 | |
| 19 | 2024 | 17 | |
| 20 | 2024 | 13 |
About Zan Fu
Zan Fu is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Surgery, having authored 50 papers that have together received 799 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Ubiquitin and proteasome pathways (3 papers), Single-cell and spatial transcriptomics (3 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (173 citations), Complementary and alternative medicine (69 citations), Oncology (199 citations), Immunology (104 citations) and Molecular Biology (343 citations). Zan Fu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Shijia Wang, Changzhi Huang, Chuan Zhang, Tao Hu, Yueming Sun, Yanhong Gu, Dongjian Ji, Tao Han, Wenwei Qian and Jingyu Wu. Their work appears in journals such as Archives of Toxicology, Frontiers in Genetics, Obesity, Frontiers in Oncology 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.