Shuang Yang
- Cancer Research top 2%
- MicroRNA in disease regulation 16
- Cancer-related molecular mechanisms research 11
- Molecular Biology top 5%
- RNA modifications and cancer 16
- Bone Metabolism and Diseases 11
- TGF-β signaling in diseases 11
- Ubiquitin and proteasome pathways 10
- Epigenetics and DNA Methylation 10
- Oncology top 5%
- Cancer-related Molecular Pathways 11
- Immunology top 10%
- Genetics top 5%
- Co-authors
- Wei SunFen HuPeiqing SunQuansheng ZhangRong XiangTianhui ZhuWen WangJianjun Li
- Journals
- Nucleic Acids Research (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Shuang Yang
175 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 150
- Cancer Research 998
- Molecular Biology 2.5k
- Oncology 614
- Immunology 399
- Genetics 379
Countries citing papers authored by Shuang Yang
This map shows the geographic impact of Shuang Yang'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 Shuang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuang Yang more than expected).
Fields of papers citing papers by Shuang Yang
This network shows the impact of papers produced by Shuang Yang. 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 Shuang Yang. The network helps show where Shuang Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuang Yang, 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 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 30 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 48 | |
| 13 | 2021 | 3 | |
| 14 | miRNA-181a-5p Enhances the Sensitivity of Cells to Cisplatin in Esophageal Adenocarcinoma by Targeting CBLB | 2020 | 1 |
| 15 | 2020 | 11 | |
| 16 | 2020 | 23 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 14 | |
| 19 | [Variation characteristics of CO2 flux in Phyllostachys edulis forest ecosystem in subtropical region of China]. | 2013 | 13 |
| 20 | 2005 | 87 |
About Shuang Yang
Shuang Yang is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 181 papers that have together received 3.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (16 papers), MicroRNA in disease regulation (16 papers), Cancer-related Molecular Pathways (11 papers), Bone Metabolism and Diseases (11 papers), TGF-β signaling in diseases (11 papers), Cancer-related molecular mechanisms research (11 papers), Ubiquitin and proteasome pathways (10 papers) and Epigenetics and DNA Methylation (10 papers). The work is most often cited by research in Cancer Research (998 citations), Molecular Biology (2.5k citations) and Oncology (614 citations). Shuang Yang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Wei Sun, Fen Hu, Peiqing Sun, Quansheng Zhang, Rong Xiang, Tianhui Zhu, Wen Wang, Tianhui Zhu, Jianjun Li and Yun Ding. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.