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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- CRISPR and Genetic Engineering 4
- Advanced biosensing and bioanalysis techniques 2
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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)Min Zhi Rong (7 shared papers)Ming Qiu Zhang (7 shared papers)Junjiu Huang (2 shared papers)Yuqing Chen (1 shared paper)Lixiang Liu (1 shared paper)
- Journals
- Nature Cell Biology (2 papers)Stem Cell Research & Therapy (2 papers)Cardiovascular Drugs and Therapy (1 paper)Cell Research (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Su Wu
35 papers receiving 732 citations
Peers
Comparison fields: 5 of 91
- Nephrology 116
- Immunology 99
- Cellular and Molecular Neuroscience 89
- Obstetrics and Gynecology 33
- Polymers and Plastics 69
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 | 228 | |
| 2 | 2004 | 87 | |
| 3 | 2017 | 67 | |
| 4 | 2012 | 43 | |
| 5 | 2017 | 36 | |
| 6 | 2008 | 34 | |
| 7 | 2017 | 28 | |
| 8 | 2013 | 27 | |
| 9 | 2014 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2009 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2024 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 1991 | 11 | |
| 16 | 1995 | 11 | |
| 17 | 2022 | 8 | |
| 18 | 2019 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2017 | 7 |
About Su Wu
Su Wu is a scholar working on Molecular Biology, Physiology, Polymers and Plastics, Genetics and Cell Biology, having authored 37 papers that have together received 747 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (4 papers), CRISPR and Genetic Engineering (4 papers), Polymer composites and self-healing (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Natural Fiber Reinforced Composites (3 papers), biodegradable polymer synthesis and properties (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Nephrology (116 citations), Immunology (99 citations), Cellular and Molecular Neuroscience (89 citations), Obstetrics and Gynecology (33 citations) and Polymers and Plastics (69 citations). Su Wu has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Jun Gu, Hongwei Ren, Feng Liu, Min Zhi Rong, Ming Qiu Zhang, Junjiu Huang, Yuqing Chen, Lixiang Liu, Huan Yang and Shuang Mei. Their work appears in journals such as Nature Cell Biology, Stem Cell Research & Therapy, Cardiovascular Drugs and Therapy, Cell Research and European Journal of Medicinal Chemistry.
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.