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
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- MicroRNA in disease regulation 2
- Oncology 6
- Cancer Immunotherapy and Biomarkers 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Gong She Yang (5 shared papers)Chun‐Xia Ren (1 shared paper)Fan Liang (1 shared paper)Yaping Chen (1 shared paper)Jingshu Wang (1 shared paper)Xianghui Han (1 shared paper)Guoqing Tong (1 shared paper)Lina Yang (1 shared paper)
- Journals
- Cancer Medicine (3 papers)Frontiers in Oncology (2 papers)Journal of genetics and genomics (1 paper)Advanced Science (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- China
In The Last Decade
Shuoer Wang
17 papers receiving 386 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 111
- Oncology 126
- Biological Psychiatry 7
- Molecular Biology 153
- Pulmonary and Respiratory Medicine 47
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 | 128 | |
| 2 | 2022 | 53 | |
| 3 | 2024 | 44 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 24 | |
| 6 | 2019 | 20 | |
| 7 | 2019 | 16 | |
| 8 | 2024 | 16 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2021 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2026 | 0 | |
| 19 | 2026 | 0 | |
| 20 | 2025 | 0 |
About Shuoer Wang
Shuoer Wang is a scholar working on Cancer Research, Oncology, Immunology, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology, having authored 20 papers that have together received 387 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (2 papers), Gastric Cancer Management and Outcomes (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune cells in cancer (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Peptidase Inhibition and Analysis (2 papers), Extracellular vesicles in disease (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (111 citations), Oncology (126 citations), Biological Psychiatry (7 citations), Molecular Biology (153 citations) and Pulmonary and Respiratory Medicine (47 citations). Shuoer Wang has collaborated with scholars based in China. Frequent co-authors include Gong She Yang, Chun‐Xia Ren, Fan Liang, Yaping Chen, Jingshu Wang, Xianghui Han, Guoqing Tong, Lina Yang, Wangjun Yan and Shaoli Song. Their work appears in journals such as Cancer Medicine, Frontiers in Oncology, Journal of genetics and genomics, Advanced Science and Journal of Cellular and Molecular Medicine.
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.