Yang Wang
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research 31
- MicroRNA in disease regulation 27
- Molecular Biology top 0.5%
- RNA modifications and cancer 61
- RNA Research and Splicing 50
- RNA and protein synthesis mechanisms 28
- Circular RNAs in diseases 27
- Ubiquitin and proteasome pathways 17
- Cell Biology top 2%
- Oncology top 5%
- Immunology top 5%
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- Autophagy in Disease and Therapy 14
- Co-authors
- Zefeng WangZhaolei ZhangJing ZhaoYue LiJulia I. TothMatthew D. PetroskiLing‐Ling ChenXinshu Xiao
- Journals
- Journal of Biological Chemistry (7 papers)Cell Death and Disease (6 papers)Journal of Experimental & Clinical Cancer Research (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yang Wang
212 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 3.8k
- Molecular Biology 8.1k
- Cell Biology 524
- Oncology 793
- Immunology 451
Countries citing papers authored by Yang Wang
This map shows the geographic impact of Yang 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 Yang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Wang more than expected).
Fields of papers citing papers by Yang Wang
This network shows the impact of papers produced by Yang 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 Yang Wang. The network helps show where Yang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 46 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 26 | |
| 15 | Circ_0001023 Promotes Proliferation and Metastasis of Gastric Cancer Cells Through miR-409-3p/PHF10 Axis | 2020 | 1 |
| 16 | 2020 | 3 | |
| 17 | 2020 | 31 | |
| 18 | 2019 | 81 | |
| 19 | LSD1 regulates Notch and PI3K/Akt/mTOR pathways through binding the promoter regions of Notch target genes in esophageal squamous cell carcinoma | 2019 | 1 |
| 20 | 2017 | 30 |
About Yang Wang
Yang Wang is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Hepatology and Structural Biology, having authored 225 papers that have together received 9.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (61 papers), RNA Research and Splicing (50 papers), Cancer-related molecular mechanisms research (31 papers), RNA and protein synthesis mechanisms (28 papers), MicroRNA in disease regulation (27 papers), Circular RNAs in diseases (27 papers), Ubiquitin and proteasome pathways (17 papers) and Autophagy in Disease and Therapy (14 papers). The work is most often cited by research in Cancer Research (3.8k citations), Molecular Biology (8.1k citations), Cell Biology (524 citations), Oncology (793 citations) and Immunology (451 citations). Yang Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zefeng Wang, Zhaolei Zhang, Jing Zhao, Yue Li, Julia I. Toth, Matthew D. Petroski, Ling‐Ling Chen, Xinshu Xiao, Yongfeng Jin and Xiaojuan Fan. Their work appears in journals such as Journal of Biological Chemistry, Cell Death and Disease, Journal of Experimental & Clinical Cancer Research, Scientific Reports and Molecular Cancer.
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.