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 4
- Epigenetics and DNA Methylation 3
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- Renal cell carcinoma treatment 9
- Co-authors
- Chung Lee (4 shared papers)Qiang Zhang (3 shared papers)Zhonghua Xu (15 shared papers)Yanping Sun (1 shared paper)Qian Li (1 shared paper)Yanping Wang (1 shared paper)Lei Yan (4 shared papers)Zeyan Li (5 shared papers)
- Journals
- PLoS ONE (3 papers)Frontiers in Oncology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Cellular Biochemistry (1 paper)International Journal of Medical Sciences (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Nengwang Yu
30 papers receiving 463 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 96
- Oncology 92
- Molecular Biology 230
- Transplantation 8
- Immunology 60
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 | 81 | |
| 2 | 2011 | 57 | |
| 3 | 2014 | 41 | |
| 4 | 2018 | 30 | |
| 5 | 2015 | 30 | |
| 6 | 2010 | 29 | |
| 7 | 2015 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 2019 | 21 | |
| 10 | Vicious cycle of TGF-β signaling in tumor progression and metastasis. | 2014 | 20 |
| 11 | 1992 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2014 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2013 | 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, Surgery, Oncology and Cancer Research, having authored 33 papers that have together received 469 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (9 papers), Bladder and Urothelial Cancer Treatments (6 papers), TGF-β signaling in diseases (4 papers), Renal and related cancers (4 papers), Genetic factors in colorectal cancer (3 papers), Physiological and biochemical adaptations (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (96 citations), Oncology (92 citations), Molecular Biology (230 citations), Transplantation (8 citations) and Immunology (60 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 Sun, Qian Li, Yanping Wang, Lei Yan, Zeyan Li, Shuai Fu and Feilong Yang. Their work appears in journals such as PLoS ONE, Frontiers in Oncology, Proceedings of the National Academy of Sciences, Journal of Cellular Biochemistry and International Journal of Medical Sciences.
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.