Hanfeng Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Renal cell carcinoma treatment
- Ferroptosis and cancer prognosis
Papers in
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- Renal cell carcinoma treatment 8
- Ferroptosis and cancer prognosis 3
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- Epigenetics and DNA Methylation 3
- Renal and related cancers 2
- Circular RNAs in diseases 2
- RNA modifications and cancer 2
- Co-authors
- Jun Fan (1 shared paper)Victor Khilkevich (1 shared paper)Yaojiang Zhang (1 shared paper)Xin Ma (11 shared papers)Xu Zhang (8 shared papers)Yundong Xuan (9 shared papers)Yan Huang (7 shared papers)Huijie Gong (4 shared papers)
- Journals
- Nature Communications (2 papers)Developmental Cell (1 paper)Cancer Letters (1 paper)Nanophotonics (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hanfeng Wang
30 papers receiving 409 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 104
- Pulmonary and Respiratory Medicine 92
- Molecular Biology 148
- Oncology 32
- Electrical and Electronic Engineering 74
Countries citing papers authored by Hanfeng Wang
This map shows the geographic impact of Hanfeng Wang'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 Hanfeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanfeng Wang more than expected).
Fields of papers citing papers by Hanfeng Wang
This network shows the impact of papers produced by Hanfeng Wang. 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 Hanfeng Wang. The network helps show where Hanfeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanfeng Wang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 67 | |
| 2 | 2021 | 40 | |
| 3 | 2017 | 29 | |
| 4 | 2017 | 28 | |
| 5 | 2024 | 27 | |
| 6 | 2020 | 24 | |
| 7 | 2016 | 22 | |
| 8 | 2019 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2024 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2025 | 7 |
About Hanfeng Wang
Hanfeng Wang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Atomic and Molecular Physics, and Optics, Cancer Research and Materials Chemistry, having authored 33 papers that have together received 414 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (8 papers), Diamond and Carbon-based Materials Research (5 papers), Ferroptosis and cancer prognosis (3 papers), Epigenetics and DNA Methylation (3 papers), Renal and related cancers (2 papers), Circular RNAs in diseases (2 papers), Advanced Fiber Laser Technologies (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (104 citations), Pulmonary and Respiratory Medicine (92 citations), Molecular Biology (148 citations), Oncology (32 citations) and Electrical and Electronic Engineering (74 citations). Hanfeng Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jun Fan, Victor Khilkevich, Yaojiang Zhang, Xin Ma, Xu Zhang, Yundong Xuan, Yan Huang, Huijie Gong, Liangyou Gu and Pin Li. Their work appears in journals such as Nature Communications, Developmental Cell, Cancer Letters, Nanophotonics and PLoS ONE.
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.