Wei‐Feng Qu
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Surgery 10
- Cholangiocarcinoma and Gallbladder Cancer Studies 8
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Ying–Hong Shi (23 shared papers)Jia Fan (20 shared papers)Zheng Tang (17 shared papers)Chenyang Tao (13 shared papers)Wei‐Ren Liu (11 shared papers)Run Huang (8 shared papers)Zhen‐Bin Ding (13 shared papers)Yufu Zhou (9 shared papers)
In The Last Decade
Wei‐Feng Qu
25 papers receiving 639 citations
Wei‐Feng Qu's Hit Papers
Peers
Comparison fields: 5 of 53
- Cancer Research 154
- Hepatology 67
- Oncology 157
- Immunology 113
- Pulmonary and Respiratory Medicine 91
Countries citing papers authored by Wei‐Feng Qu
This map shows the geographic impact of Wei‐Feng Qu'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‐Feng Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Feng Qu more than expected).
Fields of papers citing papers by Wei‐Feng Qu
This network shows the impact of papers produced by Wei‐Feng Qu. 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‐Feng Qu. The network helps show where Wei‐Feng Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Feng Qu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor Hit paper breakdown → | 2023 | 236 |
| 2 | 2021 | 48 | |
| 3 | 2019 | 36 | |
| 4 | 2021 | 34 | |
| 5 | 2023 | 30 | |
| 6 | 2024 | 30 | |
| 7 | 2019 | 30 | |
| 8 | 2020 | 29 | |
| 9 | 2023 | 25 | |
| 10 | 2022 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2023 | 18 | |
| 13 | 2019 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2025 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2024 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2025 | 3 |
About Wei‐Feng Qu
Wei‐Feng Qu is a scholar working on Surgery, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Immunology, having authored 29 papers that have together received 641 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Cancer Genomics and Diagnostics (3 papers), Ferroptosis and cancer prognosis (3 papers), Immune cells in cancer (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (154 citations), Hepatology (67 citations), Oncology (157 citations), Immunology (113 citations) and Pulmonary and Respiratory Medicine (91 citations). Wei‐Feng Qu has collaborated with scholars based in China, Ethiopia and India. Frequent co-authors include Ying–Hong Shi, Jia Fan, Zheng Tang, Chenyang Tao, Wei‐Ren Liu, Run Huang, Zhen‐Bin Ding, Yufu Zhou, Shushu Song and Yuan Fang. Their work appears in journals such as Cancer Letters, BMC Medicine, Cancer Immunology Immunotherapy, International Journal of Surgery and Cell Discovery.
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.