Qi‐Nian Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
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- Cancer-related molecular mechanisms research 6
- Cancer Genomics and Diagnostics 2
- Cancer, Lipids, and Metabolism 2
- Oncology 6
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Rui‐Hua Xu (24 shared papers)Ze-Xian Liu (20 shared papers)Huai‐Qiang Ju (16 shared papers)Zhao-Lei Zeng (15 shared papers)Heng‐Ying Pu (8 shared papers)Kun Lun Liao (4 shared papers)Peishan Hu (5 shared papers)Jin‐Fei Lin (4 shared papers)
In The Last Decade
Qi‐Nian Wu
34 papers receiving 1.3k citations
Qi‐Nian Wu's Hit Papers
Peers
Comparison fields: 5 of 56
- Cancer Research 206
- Oncology 151
- Hepatology 61
- Molecular Biology 301
- Pulmonary and Respiratory Medicine 111
Countries citing papers authored by Qi‐Nian Wu
This map shows the geographic impact of Qi‐Nian 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 Qi‐Nian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi‐Nian Wu more than expected).
Fields of papers citing papers by Qi‐Nian Wu
This network shows the impact of papers produced by Qi‐Nian 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 Qi‐Nian Wu. The network helps show where Qi‐Nian Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi‐Nian 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phosphorylated NFS1 weakens oxaliplatin-based chemosensitivity of colorectal cancer by preventing PANoptosis Hit paper breakdown → | 2022 | 257 |
| 2 | 2011 | 145 | |
| 3 | 2019 | 105 | |
| 4 | 2023 | 94 | |
| 5 | CAF-macrophage crosstalk in tumour microenvironments governs the response to immune checkpoint blockade in gastric cancer peritoneal metastases Hit paper breakdown → | 2024 | 91 |
| 6 | 2020 | 88 | |
| 7 | 2021 | 59 | |
| 8 | 2022 | 54 | |
| 9 | 2020 | 53 | |
| 10 | 2023 | 51 | |
| 11 | 2019 | 43 | |
| 12 | 2022 | 42 | |
| 13 | 2017 | 38 | |
| 14 | 2023 | 33 | |
| 15 | 2021 | 30 | |
| 16 | 2022 | 25 | |
| 17 | 2024 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2012 | 18 | |
| 20 | 2018 | 18 |
About Qi‐Nian Wu
Qi‐Nian Wu is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Hepatology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Genomics and Diagnostics (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer, Lipids, and Metabolism (2 papers), Epigenetics and DNA Methylation (1 paper), Hepatitis B Virus Studies (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Cancer Research (206 citations), Oncology (151 citations), Hepatology (61 citations), Molecular Biology (301 citations) and Pulmonary and Respiratory Medicine (111 citations). Qi‐Nian Wu has collaborated with scholars based in China, Hong Kong and Austria. Frequent co-authors include Rui‐Hua Xu, Ze-Xian Liu, Huai‐Qiang Ju, Zhao-Lei Zeng, Heng‐Ying Pu, Kun Lun Liao, Peishan Hu, Jin‐Fei Lin, Qi Zhao and Hai‐Yu Mo. Their work appears in journals such as Nature Communications, Cancer Letters, Cancer Research, Gut and Signal Transduction and Targeted Therapy.
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.