Ruiyan Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
- Co-authors
- Ting Sun (2 shared papers)Liang Ming (1 shared paper)Rong Deng (3 shared papers)Xuan Li (3 shared papers)Gong‐Kan Feng (3 shared papers)Yuhong Chen (2 shared papers)Xiao‐Feng Zhu (2 shared papers)Jia Mai (2 shared papers)
- Journals
- Frontiers in Oncology (3 papers)BMJ Open (2 papers)Journal of Clinical Oncology (2 papers)Therapeutic Advances in Medical Oncology (2 papers)Journal of Cancer (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ruiyan Wu
21 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Cancer Research 437
- Molecular Biology 817
- Oncology 210
- Pulmonary and Respiratory Medicine 121
- Immunology 63
Countries citing papers authored by Ruiyan Wu
This map shows the geographic impact of Ruiyan Wu'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 Ruiyan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiyan Wu more than expected).
Fields of papers citing papers by Ruiyan Wu
This network shows the impact of papers produced by Ruiyan Wu. 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 Ruiyan Wu. The network helps show where Ruiyan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruiyan Wu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The role of m6A RNA methylation in cancer Hit paper breakdown → | 2019 | 662 |
| 2 | 2021 | 133 | |
| 3 | 2020 | 43 | |
| 4 | 2022 | 30 | |
| 5 | 2016 | 28 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 26 | |
| 8 | 2016 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2025 | 10 | |
| 11 | 2016 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 1 |
About Ruiyan Wu
Ruiyan Wu is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (8 papers), Colorectal and Anal Carcinomas (8 papers), Colorectal Cancer Surgical Treatments (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Gastric Cancer Management and Outcomes (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cancer-related gene regulation (3 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Cancer Research (437 citations), Molecular Biology (817 citations), Oncology (210 citations), Pulmonary and Respiratory Medicine (121 citations) and Immunology (63 citations). Ruiyan Wu has collaborated with scholars based in China and United States. Frequent co-authors include Ting Sun, Liang Ming, Rong Deng, Xuan Li, Gong‐Kan Feng, Yuhong Chen, Xiao‐Feng Zhu, Jia Mai, Kai‐Bin Yang and Dandan Li. Their work appears in journals such as Frontiers in Oncology, BMJ Open, Journal of Clinical Oncology, Therapeutic Advances in Medical Oncology and Journal of 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.