Su Wu
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
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- interferon and immune responses
Papers in
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- Polymer composites and self-healing 4
- Natural Fiber Reinforced Composites 3
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- Telomeres, Telomerase, and Senescence 4
- Co-authors
- Jun Gu (2 shared papers)Hongwei Ren (1 shared paper)Feng Liu (1 shared paper)Ming Qiu Zhang (7 shared papers)Min Zhi Rong (7 shared papers)Junjiu Huang (2 shared papers)Huan Yang (1 shared paper)Lixiang Liu (1 shared paper)
- Journals
- Nature Cell Biology (2 papers)Stem Cell Research & Therapy (2 papers)Developmental Biology (1 paper)Frontiers in Genetics (1 paper)BMC Pediatrics (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Su Wu
35 papers receiving 752 citations
Peers
Comparison fields: 5 of 92
- Nephrology 116
- Immunology 101
- Cellular and Molecular Neuroscience 90
- Polymers and Plastics 70
- Obstetrics and Gynecology 33
Countries citing papers authored by Su Wu
This map shows the geographic impact of Su Wu'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 Su Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Wu more than expected).
Fields of papers citing papers by Su Wu
This network shows the impact of papers produced by Su Wu. 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 Su Wu. The network helps show where Su Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Wu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 231 | |
| 2 | 2004 | 87 | |
| 3 | 2017 | 68 | |
| 4 | 2012 | 43 | |
| 5 | 2017 | 39 | |
| 6 | 2008 | 34 | |
| 7 | 2017 | 28 | |
| 8 | 2013 | 26 | |
| 9 | 2014 | 25 | |
| 10 | 2020 | 24 | |
| 11 | 2024 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2009 | 16 | |
| 14 | 2022 | 13 | |
| 15 | 1991 | 11 | |
| 16 | 1995 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2019 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2007 | 7 |
About Su Wu
Su Wu is a scholar working on Polymers and Plastics, Physiology, Neurology, Molecular Biology and Cell Biology, having authored 37 papers that have together received 769 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Polymer composites and self-healing (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), biodegradable polymer synthesis and properties (3 papers), Natural Fiber Reinforced Composites (3 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Nephrology (116 citations), Immunology (101 citations), Cellular and Molecular Neuroscience (90 citations), Polymers and Plastics (70 citations) and Obstetrics and Gynecology (33 citations). Su Wu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jun Gu, Hongwei Ren, Feng Liu, Ming Qiu Zhang, Min Zhi Rong, Junjiu Huang, Huan Yang, Lixiang Liu, Yuqing Chen and Jing Liu. Their work appears in journals such as Nature Cell Biology, Stem Cell Research & Therapy, Developmental Biology, Frontiers in Genetics and BMC Pediatrics.
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.