Si Wu
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 10%
Papers in
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- Metabolomics and Mass Spectrometry Studies 14
- Ginseng Biological Effects and Applications 3
- Bioinformatics and Genomic Networks 3
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- Nutrition and Health in Aging 4
- Co-authors
- Xin Dong (9 shared papers)Yifeng Chai (7 shared papers)Guangguo Tan (6 shared papers)Yariv Brotman (6 shared papers)Alisdair R. Fernie (5 shared papers)M Snyder (5 shared papers)Zhenyu Zhu (4 shared papers)Lothar Willmitzer (3 shared papers)
- Journals
- Bioinformatics (2 papers)Journal of Ethnopharmacology (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)Biomolecules (2 papers)Genome biology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Si Wu
29 papers receiving 818 citations
Si Wu's Hit Papers
Peers
Comparison fields: 5 of 107
- Complementary and alternative medicine 74
- Pharmacology 76
- Molecular Biology 463
- Geriatrics and Gerontology 23
- Plant Science 197
Countries citing papers authored by Si Wu
This map shows the geographic impact of Si 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 Si Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Wu more than expected).
Fields of papers citing papers by Si Wu
This network shows the impact of papers produced by Si 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 Si Wu. The network helps show where Si Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Si 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dynamic lipidome alterations associated with human health, disease and ageing Hit paper breakdown → | 2023 | 111 |
| 2 | 2017 | 100 | |
| 3 | 2021 | 73 | |
| 4 | 2013 | 60 | |
| 5 | 2016 | 59 | |
| 6 | 2014 | 57 | |
| 7 | 2013 | 41 | |
| 8 | 2014 | 37 | |
| 9 | 2018 | 30 | |
| 10 | 2021 | 29 | |
| 11 | 2019 | 29 | |
| 12 | 2014 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2012 | 21 | |
| 15 | 2021 | 18 | |
| 16 | 2014 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2022 | 11 | |
| 20 | 2009 | 11 |
About Si Wu
Si Wu is a scholar working on Molecular Biology, Physiology, Genetics, Plant Science and Cancer Research, having authored 32 papers that have together received 829 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (14 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Nutrition and Health in Aging (4 papers), Ginseng Biological Effects and Applications (3 papers), Bioinformatics and Genomic Networks (3 papers), Semiconductor Quantum Structures and Devices (2 papers), Bone health and osteoporosis research (2 papers) and GaN-based semiconductor devices and materials (2 papers). The work is most often cited by research in Complementary and alternative medicine (74 citations), Pharmacology (76 citations), Molecular Biology (463 citations), Geriatrics and Gerontology (23 citations) and Plant Science (197 citations). Si Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xin Dong, Yifeng Chai, Guangguo Tan, Yariv Brotman, Alisdair R. Fernie, M Snyder, Zhenyu Zhu, Lothar Willmitzer, Wuhong Li and Joost J. B. Keurentjes. Their work appears in journals such as Bioinformatics, Journal of Ethnopharmacology, Journal of Pharmaceutical and Biomedical Analysis, Biomolecules and Genome biology.
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.