Can Lu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Viral-associated cancers and disorders
Papers in
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- Ubiquitin and proteasome pathways 2
- Oncology 7
- Viral-associated cancers and disorders 3
- Cancer Cells and Metastasis 2
- Co-authors
- Chen Chen (3 shared papers)Bin Xie (3 shared papers)Jianhua Zhou (4 shared papers)Liang Weng (5 shared papers)Motoshi Suzuki (2 shared papers)Zhijie Xu (5 shared papers)Wenliang Liu (1 shared paper)Toyoshi Fujimoto (2 shared papers)
- Journals
- Nature Communications (1 paper)Signal Transduction and Targeted Therapy (1 paper)Cell Reports (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)Aging and Disease (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Can Lu
22 papers receiving 396 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 86
- Oncology 87
- Molecular Biology 196
- Cell Biology 45
- Pathology and Forensic Medicine 44
Countries citing papers authored by Can Lu
This map shows the geographic impact of Can Lu'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 Can Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Lu more than expected).
Fields of papers citing papers by Can Lu
This network shows the impact of papers produced by Can Lu. 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 Can Lu. The network helps show where Can Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Lu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 76 | |
| 2 | 2020 | 48 | |
| 3 | 2019 | 40 | |
| 4 | 2014 | 36 | |
| 5 | 2020 | 21 | |
| 6 | 2021 | 16 | |
| 7 | 2023 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2020 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2025 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2022 | 11 | |
| 16 | Expression of Girdin in primary hepatocellular carcinoma and its effect on cell proliferation and invasion. | 2015 | 11 |
| 17 | 2022 | 10 | |
| 18 | 2022 | 8 | |
| 19 | 2025 | 7 | |
| 20 | 2025 | 5 |
About Can Lu
Can Lu is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 403 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Viral-associated cancers and disorders (3 papers), Immune Cell Function and Interaction (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Caveolin-1 and cellular processes (3 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (86 citations), Oncology (87 citations), Molecular Biology (196 citations), Cell Biology (45 citations) and Pathology and Forensic Medicine (44 citations). Can Lu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chen Chen, Bin Xie, Jianhua Zhou, Liang Weng, Motoshi Suzuki, Zhijie Xu, Wenliang Liu, Toyoshi Fujimoto, Qiang Wang and Tomoya Yamaguchi. Their work appears in journals such as Nature Communications, Signal Transduction and Targeted Therapy, Cell Reports, Oxidative Medicine and Cellular Longevity and Aging and Disease.
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.