Can Tu
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Dialysis and Renal Disease Management
Papers in
-
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 1
-
- Angiogenesis and VEGF in Cancer 1
- Co-authors
- Fei Xiong (7 shared papers)Chun Zhang (4 shared papers)Xiaoping Miao (3 shared papers)Hui Tang (2 shared papers)Wen‐Li Chen (1 shared paper)Jing Liu (1 shared paper)Ming Shi (2 shared papers)Li Liu (1 shared paper)
- Journals
- Natural Product Communications (1 paper)American Journal of Kidney Diseases (1 paper)Journal of the American Society of Nephrology (1 paper)Seminars in Dialysis (1 paper)Journal of Zhejiang University SCIENCE B (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Can Tu
15 papers receiving 356 citations
Peers
Comparison fields: 5 of 69
- Infectious Diseases 172
- Nephrology 32
- Neurology 52
- Oncology 62
- Obstetrics and Gynecology 15
Countries citing papers authored by Can Tu
This map shows the geographic impact of Can Tu'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 Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Tu more than expected).
Fields of papers citing papers by Can Tu
This network shows the impact of papers produced by Can Tu. 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 Tu. The network helps show where Can Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Tu, 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 | 2020 | 191 | |
| 2 | 2006 | 69 | |
| 3 | 2020 | 31 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 14 | |
| 6 | 2024 | 13 | |
| 7 | 2020 | 10 | |
| 8 | Speech-spectrum analysis of Mandarin: implications for hearing-aid fittings in a multi-ethnic society. | 1993 | 9 |
| 9 | 2014 | 7 | |
| 10 | 2025 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2020 | 1 | |
| 15 | Isolation and identification of cDNA fragments and full-length cDNA differentially expressed in human glioblastoma cell line BT-325 versus all-trans retinoic acid induction . | 2000 | 1 |
| 16 | [High-level expression of human acidic fibroblast growth factor in E. coli and its purification]. | 1999 | 1 |
| 17 | 2025 | 0 |
About Can Tu
Can Tu is a scholar working on Infectious Diseases, Molecular Biology, Nephrology, Pulmonary and Respiratory Medicine and Neurology, having authored 17 papers that have together received 374 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Ferroptosis and cancer prognosis (2 papers), Dialysis and Renal Disease Management (2 papers), Cancer Mechanisms and Therapy (1 paper), Angiogenesis and VEGF in Cancer (1 paper), SARS-CoV-2 detection and testing (1 paper), Vascular Procedures and Complications (1 paper) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Infectious Diseases (172 citations), Nephrology (32 citations), Neurology (52 citations), Oncology (62 citations) and Obstetrics and Gynecology (15 citations). Can Tu has collaborated with scholars based in China and United States. Frequent co-authors include Fei Xiong, Chun Zhang, Xiaoping Miao, Hui Tang, Wen‐Li Chen, Jing Liu, Ming Shi, Li Liu, Xiaohui Wang and Jun Tao. Their work appears in journals such as Natural Product Communications, American Journal of Kidney Diseases, Journal of the American Society of Nephrology, Seminars in Dialysis and Journal of Zhejiang University SCIENCE B.
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.