Xiaoning Wu
Impact in
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- Insect Resistance and Genetics 2
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- Cancer, Lipids, and Metabolism 4
- Co-authors
- Feng Geng (6 shared papers)Xiang Cheng (6 shared papers)Deliang Guo (6 shared papers)Arnab Chakravarti (5 shared papers)Chunming Cheng (5 shared papers)Jeffrey Yunhua Guo (4 shared papers)Xiaokui Mo (3 shared papers)Peng Ru (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Clinical Cancer Research (2 papers)International Immunopharmacology (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoning Wu
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 571
- Biochemistry 171
- Molecular Biology 735
- Hepatology 58
- Immunology 141
Countries citing papers authored by Xiaoning Wu
This map shows the geographic impact of Xiaoning 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 Xiaoning Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoning Wu more than expected).
Fields of papers citing papers by Xiaoning Wu
This network shows the impact of papers produced by Xiaoning 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 Xiaoning Wu. The network helps show where Xiaoning Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoning 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 248 | |
| 2 | 2015 | 233 | |
| 3 | 2020 | 228 | |
| 4 | 2019 | 117 | |
| 5 | 2020 | 76 | |
| 6 | 2004 | 72 | |
| 7 | 2016 | 65 | |
| 8 | 2018 | 50 | |
| 9 | 2019 | 40 | |
| 10 | 2014 | 40 | |
| 11 | 2009 | 37 | |
| 12 | 2019 | 30 | |
| 13 | 2004 | 28 | |
| 14 | 2015 | 22 | |
| 15 | 2018 | 18 | |
| 16 | 2015 | 15 | |
| 17 | 2016 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2021 | 9 |
About Xiaoning Wu
Xiaoning Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Biochemistry and Biological Psychiatry, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Lipid metabolism and biosynthesis (3 papers), Tryptophan and brain disorders (3 papers), Entomopathogenic Microorganisms in Pest Control (2 papers), Insect Resistance and Genetics (2 papers), Biosensors and Analytical Detection (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Cancer Research (571 citations), Biochemistry (171 citations), Molecular Biology (735 citations), Hepatology (58 citations) and Immunology (141 citations). Xiaoning Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feng Geng, Xiang Cheng, Deliang Guo, Arnab Chakravarti, Chunming Cheng, Jeffrey Yunhua Guo, Xiaokui Mo, Peng Ru, Étienne Lefai and Ji Young Yoo. Their work appears in journals such as Biochemical and Biophysical Research Communications, Clinical Cancer Research, International Immunopharmacology, Journal of Agricultural and Food Chemistry and Cancer Research.
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.