Shuoer Wang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Protease and Inhibitor Mechanisms
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- Peptidase Inhibition and Analysis
Papers in
- Oncology 6
- Cancer Immunotherapy and Biomarkers 2
- Peptidase Inhibition and Analysis 2
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- MicroRNA in disease regulation 2
- Co-authors
- Gong Yang (5 shared papers)Fan Liang (1 shared paper)Guoqing Tong (1 shared paper)Chun‐Xia Ren (1 shared paper)Yaping Chen (1 shared paper)Jingshu Wang (1 shared paper)Lina Yang (1 shared paper)Xianghui Han (1 shared paper)
- Journals
- Cancer Medicine (3 papers)Frontiers in Oncology (2 papers)Cell Death and Disease (1 paper)Advanced Science (1 paper)Journal of Nanobiotechnology (1 paper)
- Partner nations
- China
In The Last Decade
Shuoer Wang
17 papers receiving 353 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 110
- Oncology 118
- Biological Psychiatry 7
- Molecular Biology 141
- Pulmonary and Respiratory Medicine 46
Countries citing papers authored by Shuoer Wang
This map shows the geographic impact of Shuoer 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 Shuoer Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuoer Wang more than expected).
Fields of papers citing papers by Shuoer Wang
This network shows the impact of papers produced by Shuoer 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 Shuoer Wang. The network helps show where Shuoer Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuoer 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 | 2019 | 122 | |
| 2 | 2022 | 44 | |
| 3 | 2024 | 34 | |
| 4 | 2020 | 29 | |
| 5 | 2019 | 24 | |
| 6 | 2019 | 20 | |
| 7 | 2019 | 16 | |
| 8 | 2024 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2019 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2021 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Shuoer Wang
Shuoer Wang is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Immunology, having authored 18 papers that have together received 354 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune cells in cancer (2 papers), Extracellular vesicles in disease (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers), MicroRNA in disease regulation (2 papers) and Gastric Cancer Management and Outcomes (2 papers). The work is most often cited by research in Cancer Research (110 citations), Oncology (118 citations), Biological Psychiatry (7 citations), Molecular Biology (141 citations) and Pulmonary and Respiratory Medicine (46 citations). Shuoer Wang has collaborated with scholars based in China. Frequent co-authors include Gong Yang, Fan Liang, Guoqing Tong, Chun‐Xia Ren, Yaping Chen, Jingshu Wang, Lina Yang, Xianghui Han, Wangjun Yan and Zhengyu Jiang. Their work appears in journals such as Cancer Medicine, Frontiers in Oncology, Cell Death and Disease, Advanced Science and Journal of Nanobiotechnology.
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.