Weiping Tu
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Circular RNAs in diseases 3
- Nephrology 10
- Renal Diseases and Glomerulopathies 6
- Co-authors
- Chengyun Xu (8 shared papers)Gaosi Xu (3 shared papers)Xiangdong Fang (10 shared papers)Rong Fu (1 shared paper)Jing Li (1 shared paper)Huixin Liu (1 shared paper)Ben Ke (8 shared papers)Yanxia Chen (5 shared papers)
In The Last Decade
Weiping Tu
29 papers receiving 359 citations
Peers
Comparison fields: 5 of 74
- Nephrology 88
- Cancer Research 65
- Complementary and alternative medicine 33
- Pathology and Forensic Medicine 69
- Immunology 48
Countries citing papers authored by Weiping Tu
This map shows the geographic impact of Weiping 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 Weiping Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiping Tu more than expected).
Fields of papers citing papers by Weiping Tu
This network shows the impact of papers produced by Weiping 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 Weiping Tu. The network helps show where Weiping Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiping 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
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 65 | |
| 2 | miR-21 expression predicts prognosis in diffuse large B-cell lymphoma. | 2015 | 47 |
| 3 | 2008 | 36 | |
| 4 | 2023 | 31 | |
| 5 | 2009 | 30 | |
| 6 | 2023 | 24 | |
| 7 | 2017 | 17 | |
| 8 | 2010 | 15 | |
| 9 | 2020 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 6 | |
| 16 | Observations on factors that influence thyroid nodules in diabetic and non-diabetic patients in the Zhejiang province of China. | 2015 | 6 |
| 17 | 2023 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 4 |
About Weiping Tu
Weiping Tu is a scholar working on Molecular Biology, Nephrology, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 32 papers that have together received 366 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (6 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers), Vitamin C and Antioxidants Research (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Nephrology (88 citations), Cancer Research (65 citations), Complementary and alternative medicine (33 citations), Pathology and Forensic Medicine (69 citations) and Immunology (48 citations). Weiping Tu has collaborated with scholars based in China and Australia. Frequent co-authors include Chengyun Xu, Gaosi Xu, Xiangdong Fang, Rong Fu, Jing Li, Huixin Liu, Ben Ke, Yanxia Chen, Shuying Zhu and Yuhong Yang. Their work appears in journals such as Renal Failure, The FASEB Journal, Journal of Diabetes Investigation, American Journal of Nephrology and Critical Reviews in Eukaryotic Gene Expression.
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.