Wei Chong
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
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- RNA modifications and cancer 10
-
- Cancer Genomics and Diagnostics 7
- Cancer, Lipids, and Metabolism 5
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Hao Chen (16 shared papers)Leping Li (13 shared papers)Hao Wu (6 shared papers)Xin Wang (2 shared papers)Yueliang Yao (2 shared papers)Liang Shang (13 shared papers)Jin Liu (5 shared papers)Fengying Du (7 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Frontiers in Cell and Developmental Biology (2 papers)Theranostics (2 papers)Cell Death and Disease (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Chong
37 papers receiving 880 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 349
- Oncology 345
- Pulmonary and Respiratory Medicine 308
- Molecular Biology 483
- Immunology 98
Countries citing papers authored by Wei Chong
This map shows the geographic impact of Wei Chong'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 Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Chong more than expected).
Fields of papers citing papers by Wei Chong
This network shows the impact of papers produced by Wei Chong. 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 Chong. The network helps show where Wei Chong may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Chong, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 169 | |
| 2 | 2019 | 131 | |
| 3 | 2021 | 86 | |
| 4 | 2019 | 75 | |
| 5 | 2022 | 69 | |
| 6 | 2020 | 62 | |
| 7 | 2022 | 34 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 26 | |
| 10 | 2011 | 24 | |
| 11 | 2020 | 22 | |
| 12 | 2019 | 21 | |
| 13 | 2024 | 17 | |
| 14 | 2022 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2025 | 8 | |
| 18 | 2024 | 8 | |
| 19 | Suppression of tumorigenesis in LUAD by LRP1B through regulation of the IL-6-JAK-STAT3 pathway. | 2023 | 8 |
| 20 | 2025 | 7 |
About Wei Chong
Wei Chong is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 40 papers that have together received 886 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (11 papers), RNA modifications and cancer (10 papers), Cancer Genomics and Diagnostics (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cancer, Lipids, and Metabolism (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Genetic factors in colorectal cancer (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (349 citations), Oncology (345 citations), Pulmonary and Respiratory Medicine (308 citations), Molecular Biology (483 citations) and Immunology (98 citations). Wei Chong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hao Chen, Leping Li, Hao Wu, Xin Wang, Yueliang Yao, Liang Shang, Jin Liu, Fengying Du, Zhen Fang and Qian Wu. Their work appears in journals such as Frontiers in Immunology, Frontiers in Cell and Developmental Biology, Theranostics, Cell Death and Disease and Frontiers in Pharmacology.
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.