Wen-Jun Chai
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- Cancer Immunotherapy and Biomarkers
Papers in
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- RNA modifications and cancer 4
- RNA Research and Splicing 2
- Metabolism, Diabetes, and Cancer 1
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- Ferroptosis and cancer prognosis 4
- Co-authors
- Yi‐Zhou Jiang (5 shared papers)Linwei Guo (2 shared papers)Ming‐Liang Jin (2 shared papers)Yue Gong (2 shared papers)Peng Ji (2 shared papers)Yu‐Chen Pei (2 shared papers)Xin Hu (2 shared papers)François Bertucci (1 shared paper)
In The Last Decade
Wen-Jun Chai
14 papers receiving 506 citations
Wen-Jun Chai's Hit Papers
Peers
Comparison fields: 5 of 63
- Cancer Research 212
- Oncology 200
- Immunology 115
- Molecular Biology 278
- Pulmonary and Respiratory Medicine 113
Countries citing papers authored by Wen-Jun Chai
This map shows the geographic impact of Wen-Jun Chai'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 Wen-Jun Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Jun Chai more than expected).
Fields of papers citing papers by Wen-Jun Chai
This network shows the impact of papers produced by Wen-Jun Chai. 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 Wen-Jun Chai. The network helps show where Wen-Jun Chai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen-Jun Chai, 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 | Metabolic-Pathway-Based Subtyping of Triple-Negative Breast Cancer Reveals Potential Therapeutic Targets Hit paper breakdown → | 2020 | 296 |
| 2 | 2022 | 65 | |
| 3 | 2022 | 56 | |
| 4 | 2023 | 27 | |
| 5 | 2020 | 16 | |
| 6 | 2022 | 13 | |
| 7 | 2020 | 9 | |
| 8 | 2021 | 8 | |
| 9 | A case of cerebral aspergillosis caused by Aspergillus nidulans. Clinical, pathologic and mycologic identifications. | 1990 | 7 |
| 10 | 2024 | 5 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 |
About Wen-Jun Chai
Wen-Jun Chai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Immunology, having authored 15 papers that have together received 509 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Immunotherapy and Immune Responses (2 papers), Mast cells and histamine (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (212 citations), Oncology (200 citations), Immunology (115 citations), Molecular Biology (278 citations) and Pulmonary and Respiratory Medicine (113 citations). Wen-Jun Chai has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Yi‐Zhou Jiang, Linwei Guo, Ming‐Liang Jin, Yue Gong, Peng Ji, Yu‐Chen Pei, Xin Hu, François Bertucci, Yi Xiao and Ding Ma. Their work appears in journals such as Cell Metabolism, Nature Medicine, Aging, Alimentary Pharmacology & Therapeutics and Science Advances.
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.