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 5
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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 (6 shared papers)Ming Qiu Zhang (6 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)Cell Research (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Su Wu
31 papers receiving 683 citations
Peers
Comparison fields: 5 of 91
- Nephrology 115
- Immunology 112
- Cellular and Molecular Neuroscience 85
- Obstetrics and Gynecology 36
- Genetics 124
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 224 | |
| 2 | 2004 | 73 | |
| 3 | 2017 | 65 | |
| 4 | 2012 | 39 | |
| 5 | 2017 | 34 | |
| 6 | 2008 | 33 | |
| 7 | 2017 | 27 | |
| 8 | 2013 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2014 | 22 | |
| 11 | 2018 | 16 | |
| 12 | 2024 | 12 | |
| 13 | 2009 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 1995 | 11 | |
| 16 | 1991 | 10 | |
| 17 | 2020 | 8 | |
| 18 | 2019 | 8 | |
| 19 | 2023 | 6 | |
| 20 | 2017 | 6 |
About Su Wu
Su Wu is a scholar working on Molecular Biology, Physiology, Polymers and Plastics, Genetics and Cell Biology, having authored 35 papers that have together received 695 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Telomeres, Telomerase, and Senescence (4 papers), Polymer composites and self-healing (4 papers), biodegradable polymer synthesis and properties (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Natural Fiber Reinforced Composites (3 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Polymer Foaming and Composites (2 papers). The work is most often cited by research in Nephrology (115 citations), Immunology (112 citations), Cellular and Molecular Neuroscience (85 citations), Obstetrics and Gynecology (36 citations) and Genetics (124 citations). Su Wu has collaborated with scholars based in China, United States and United Kingdom. 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 J. Karger‐Kocsis. Their work appears in journals such as Nature Cell Biology, Stem Cell Research & Therapy, Cell Research, Frontiers in Cell and Developmental Biology and Cell Reports.
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.