Can Lü
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 5
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- Renal cell carcinoma treatment 2
- Ferroptosis and cancer prognosis 2
- Co-authors
- Andrew D. Smith (1 shared paper)Yibu Chen (1 shared paper)Andrew P. McMahon (1 shared paper)Jinjin Guo (1 shared paper)A. Michaela Krautzberger (1 shared paper)Sanjeev Kumar (1 shared paper)Egor Dolzhenko (1 shared paper)Pietro E. Cippà (1 shared paper)
- Journals
- Journal of Integrative Medicine (4 papers)Cancers (2 papers)Oncotarget (2 papers)BMC Medicine (1 paper)American Journal of Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Can Lü
24 papers receiving 533 citations
Peers
Comparison fields: 5 of 81
- Nephrology 105
- Rehabilitation 59
- Drug Discovery 1
- Cancer Research 88
- Transplantation 12
Countries citing papers authored by Can Lü
This map shows the geographic impact of Can Lü'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 Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Lü more than expected).
Fields of papers citing papers by Can Lü
This network shows the impact of papers produced by Can Lü. 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 Lü. The network helps show where Can Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Lü, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 211 | |
| 2 | 2019 | 80 | |
| 3 | 2024 | 28 | |
| 4 | 2021 | 23 | |
| 5 | 2014 | 22 | |
| 6 | 2021 | 20 | |
| 7 | 2016 | 18 | |
| 8 | 2023 | 17 | |
| 9 | Applications of radiomics in genitourinary tumors. | 2020 | 16 |
| 10 | 2023 | 13 | |
| 11 | 2014 | 12 | |
| 12 | 2016 | 12 | |
| 13 | 2017 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2021 | 4 |
About Can Lü
Can Lü is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Molecular Biology and Cancer Research, having authored 24 papers that have together received 535 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Immune cells in cancer (3 papers), Immune Cell Function and Interaction (2 papers), Renal cell carcinoma treatment (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Breast Cancer Treatment Studies (2 papers), Ferroptosis and cancer prognosis (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Nephrology (105 citations), Rehabilitation (59 citations), Drug Discovery (1 citation), Cancer Research (88 citations) and Transplantation (12 citations). Can Lü has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Andrew D. Smith, Yibu Chen, Andrew P. McMahon, Jinjin Guo, A. Michaela Krautzberger, Sanjeev Kumar, Egor Dolzhenko, Pietro E. Cippà, Jing Liu and Riana K. Parvez. Their work appears in journals such as Journal of Integrative Medicine, Cancers, Oncotarget, BMC Medicine and American Journal of Cancer Research.
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.