Nengwang Yu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- TGF-β signaling in diseases 4
- Renal and related cancers 2
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- Renal cell carcinoma treatment 8
- Co-authors
- Chung Lee (4 shared papers)Qiang Zhang (3 shared papers)Zhonghua Xu (15 shared papers)Yanping Wang (1 shared paper)Qian Li (1 shared paper)Yanping Sun (1 shared paper)Zeyan Li (5 shared papers)Shuai Fu (8 shared papers)
- Journals
- PLoS ONE (3 papers)Frontiers in Oncology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Frontiers in Genetics (1 paper)Redox Biology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Nengwang Yu
31 papers receiving 476 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 81
- Oncology 83
- Molecular Biology 200
- Immunology 56
- Aquatic Science 20
Countries citing papers authored by Nengwang Yu
This map shows the geographic impact of Nengwang Yu'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 Nengwang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nengwang Yu more than expected).
Fields of papers citing papers by Nengwang Yu
This network shows the impact of papers produced by Nengwang Yu. 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 Nengwang Yu. The network helps show where Nengwang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nengwang Yu, 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 | 83 | |
| 2 | 2011 | 57 | |
| 3 | 2014 | 45 | |
| 4 | 2015 | 30 | |
| 5 | 2018 | 30 | |
| 6 | 2010 | 29 | |
| 7 | 2019 | 23 | |
| 8 | 2015 | 22 | |
| 9 | 2019 | 21 | |
| 10 | Vicious cycle of TGF-β signaling in tumor progression and metastasis. | 2014 | 20 |
| 11 | 1992 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2014 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2013 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2018 | 5 | |
| 20 | Age factor in the induced metamorphosis of thyroidectomized tadpoles. | 1971 | 5 |
About Nengwang Yu
Nengwang Yu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Ecology, having authored 33 papers that have together received 482 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (8 papers), TGF-β signaling in diseases (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Physiological and biochemical adaptations (3 papers), Renal and related cancers (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers) and Advanced Frequency and Time Standards (2 papers). The work is most often cited by research in Cancer Research (81 citations), Oncology (83 citations), Molecular Biology (200 citations), Immunology (56 citations) and Aquatic Science (20 citations). Nengwang Yu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chung Lee, Qiang Zhang, Zhonghua Xu, Yanping Wang, Qian Li, Yanping Sun, Zeyan Li, Shuai Fu, Lei Yan and Cong Zhang. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, Proceedings of the National Academy of Sciences, Frontiers in Genetics and Redox 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.