Wei Xiong
Impact in
- Cancer Research top 0.05%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 0.2%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
- Cancer Research 145
- Cancer-related molecular mechanisms research 95
- MicroRNA in disease regulation 41
- Cancer, Hypoxia, and Metabolism 20
-
- RNA modifications and cancer 64
- Circular RNAs in diseases 44
- RNA Research and Splicing 31
- Epigenetics and DNA Methylation 20
- Cancer-related gene regulation 19
Wei Xiong
344 papers receiving 16.9k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Cancer Research 8.3k
- Molecular Biology 11.0k
- Immunology 2.9k
- Oncology 3.7k
- Pulmonary and Respiratory Medicine 1.6k
Countries citing papers authored by Wei Xiong
This map shows the geographic impact of Wei Xiong'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 Wei Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Xiong more than expected).
Fields of papers citing papers by Wei Xiong
This network shows the impact of papers produced by Wei Xiong. 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 Wei Xiong. The network helps show where Wei Xiong may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Xiong, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 25 | |
| 8 | 2023 | 48 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 21 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 5 | |
| 17 | 2021 | 113 | |
| 18 | 2020 | 218 | |
| 19 | Association between single nucleotide polymorphisms of NOTCH signaling pathway-related genes and the prognosis of NSCLC | 2019 | 1 |
| 20 | 2017 | 56 |
About Wei Xiong
Wei Xiong is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Otorhinolaryngology, having authored 372 papers that have together received 17.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (95 papers), RNA modifications and cancer (64 papers), Circular RNAs in diseases (44 papers), MicroRNA in disease regulation (41 papers), RNA Research and Splicing (31 papers), Cancer, Hypoxia, and Metabolism (20 papers), Epigenetics and DNA Methylation (20 papers) and Cancer-related gene regulation (19 papers). The work is most often cited by research in Cancer Research (8.3k citations), Molecular Biology (11.0k citations), Immunology (2.9k citations), Oncology (3.7k citations) and Pulmonary and Respiratory Medicine (1.6k citations). Wei Xiong has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Guiyuan Li, Zhaoyang Zeng, Can Guo, Xiaoling Li, Yong Li, Bo Xiang, Xiayu Li, Ming Zhou, Fang Xiong and Qianjin Liao. Their work appears in journals such as Molecular Cancer, Journal of Cancer, Journal of Experimental & Clinical Cancer Research, Cancer Letters and Oncotarget.
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.