Fengyun Hao
- Molecular Biology
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Pathology and Forensic Medicine
- Co-authors
- Dong ChenZimin LiuChengcheng GaiXinghan WuChuanliang LiuWeijuan ChenWentong LiDejun Ding
- Topics
- Cancer-related molecular mechanisms research (5 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)TGF-β signaling in diseases (3 papers)
In The Last Decade
Fengyun Hao
21 papers receiving 397 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 262
- Cancer Research 167
- Pulmonary and Respiratory Medicine 87
- Oncology 76
- Pathology and Forensic Medicine 48
Countries citing papers authored by Fengyun Hao
This map shows the geographic impact of Fengyun Hao'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 Fengyun Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengyun Hao more than expected).
Fields of papers citing papers by Fengyun Hao
This network shows the impact of papers produced by Fengyun Hao. 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 Fengyun Hao. The network helps show where Fengyun Hao may publish in the future.
Co-authorship network of co-authors of Fengyun Hao
This figure shows the co-authorship network connecting the top 25 collaborators of Fengyun Hao. A scholar is included among the top collaborators of Fengyun Hao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fengyun Hao. Fengyun Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 25 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 55 | |
| 12 | 11 | |
| 13 | 27 | |
| 14 | MicroRNA-199a-3p inhibits tumorigenesis of hepatocellular carcinoma cells by targeting ZHX1/PUMA signal. | 30 |
| 15 | Targeting TGF-β1 suppresses survival of and invasion by anaplastic thyroid carcinoma cells. | 11 |
| 16 | 5 | |
| 17 | Targeting TGF-β1 inhibits invasion of anaplastic thyroid carcinoma cell through SMAD2-dependent S100A4-MMP-2/9 signalling. | 14 |
| 18 | 15 | |
| 19 | 48 | |
| 20 | [Clinical study of the predictors to neoadjuvant chemotherapy in patients with advanced gastric cancer]. | 7 |
About Fengyun Hao
Fengyun Hao is a scholar working on Cancer Research, Pathology and Forensic Medicine and Geriatrics and Gerontology, having authored 22 papers that have together received 399 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Cancer Research (167 citations), Applied Microbiology and Biotechnology (8 citations) and Molecular Biology (262 citations). Fengyun Hao has collaborated with scholars based in China and Singapore. Frequent co-authors include Dong Chen, Zimin Liu, Chengcheng Gai, Xinghan Wu, Chuanliang Liu, Weijuan Chen, Wentong Li, Dejun Ding, Xuelong Jiao and Xinfeng Liu. Their work appears in journals such as The Journal of Pathology, Molecular and Cellular Biochemistry and Annals of Medicine.
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.