Wei‐Neng Fu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA Research and Splicing
- Cell death mechanisms and regulation
Papers in
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- RNA modifications and cancer 13
- RNA Research and Splicing 5
- S100 Proteins and Annexins 3
- Cell death mechanisms and regulation 3
- Cancer-related gene regulation 3
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 6
- Co-authors
- Zhen‐Ming Xu (16 shared papers)Yuanyuan Sun (10 shared papers)Kailai Sun (8 shared papers)Chao Shang (4 shared papers)Yan Guo (5 shared papers)Guang-Bin Qiu (5 shared papers)Ming Zhong (2 shared papers)Yunhui Li (3 shared papers)
- Journals
- Oncology Reports (4 papers)BMC Cancer (3 papers)Oncotarget (2 papers)iScience (2 papers)Archives of Oral Biology (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Wei‐Neng Fu
43 papers receiving 707 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 288
- Molecular Biology 455
- Developmental Biology 8
- Oncology 75
- Orthopedics and Sports Medicine 17
Countries citing papers authored by Wei‐Neng Fu
This map shows the geographic impact of Wei‐Neng 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 Wei‐Neng Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Neng Fu more than expected).
Fields of papers citing papers by Wei‐Neng Fu
This network shows the impact of papers produced by Wei‐Neng 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 Wei‐Neng Fu. The network helps show where Wei‐Neng Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Neng 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 76 | |
| 2 | 2014 | 57 | |
| 3 | 2011 | 57 | |
| 4 | 2015 | 44 | |
| 5 | 2011 | 40 | |
| 6 | 2010 | 35 | |
| 7 | 2015 | 31 | |
| 8 | 2017 | 28 | |
| 9 | 2018 | 25 | |
| 10 | 2007 | 23 | |
| 11 | 2008 | 22 | |
| 12 | 2012 | 22 | |
| 13 | 2013 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2011 | 21 | |
| 16 | 2020 | 21 | |
| 17 | 2016 | 17 | |
| 18 | 2021 | 15 | |
| 19 | [Study on the loss of heterozygosity and expression of transglutaminase 3 gene in laryngeal carcinoma]. | 2002 | 14 |
| 20 | 2024 | 13 |
About Wei‐Neng Fu
Wei‐Neng Fu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 43 papers that have together received 721 indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (5 papers), S100 Proteins and Annexins (3 papers), Cell death mechanisms and regulation (3 papers), Cancer-related gene regulation (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cancer Research (288 citations), Molecular Biology (455 citations), Developmental Biology (8 citations), Oncology (75 citations) and Orthopedics and Sports Medicine (17 citations). Wei‐Neng Fu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhen‐Ming Xu, Yuanyuan Sun, Kailai Sun, Chao Shang, Yan Guo, Guang-Bin Qiu, Ming Zhong, Yunhui Li, Adrian C. Newland and Li Jia. Their work appears in journals such as Oncology Reports, BMC Cancer, Oncotarget, iScience and Archives of Oral Biology.
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.