Xiaoning Wu
Impact in
- Cancer Research top 5%
- 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
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- Cancer, Lipids, and Metabolism 6
- NF-κB Signaling Pathways 2
- MicroRNA in disease regulation 2
- Co-authors
- Feng Geng (6 shared papers)Deliang Guo (6 shared papers)Xiang Cheng (6 shared papers)Arnab Chakravarti (5 shared papers)Chunming Cheng (5 shared papers)Jeffrey Yunhua Guo (4 shared papers)Xiaokui Mo (3 shared papers)Balveen Kaur (3 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Cancer Research (2 papers)Journal of Agricultural and Food Chemistry (2 papers)International Immunopharmacology (2 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoning Wu
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 608
- Biochemistry 179
- Molecular Biology 806
- Immunology 163
- Hepatology 59
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 244 | |
| 2 | 2015 | 225 | |
| 3 | 2020 | 219 | |
| 4 | 2019 | 110 | |
| 5 | 2020 | 75 | |
| 6 | 2004 | 72 | |
| 7 | 2016 | 65 | |
| 8 | 2018 | 50 | |
| 9 | 2014 | 40 | |
| 10 | 2019 | 38 | |
| 11 | 2009 | 36 | |
| 12 | 2019 | 30 | |
| 13 | 2004 | 28 | |
| 14 | 2015 | 21 | |
| 15 | 2018 | 17 | |
| 16 | 2015 | 15 | |
| 17 | 2016 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2021 | 9 | |
| 20 | 1997 | 9 |
About Xiaoning Wu
Xiaoning Wu is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Biochemistry, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (6 papers), Lipid metabolism and biosynthesis (3 papers), Tryptophan and brain disorders (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cholesterol and Lipid Metabolism (3 papers), NF-κB Signaling Pathways (2 papers), Biosensors and Analytical Detection (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (608 citations), Biochemistry (179 citations), Molecular Biology (806 citations), Immunology (163 citations) and Hepatology (59 citations). Xiaoning Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feng Geng, Deliang Guo, Xiang Cheng, Arnab Chakravarti, Chunming Cheng, Jeffrey Yunhua Guo, Xiaokui Mo, Balveen Kaur, Peng Ru and Étienne Lefai. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Journal of Agricultural and Food Chemistry, International Immunopharmacology and Journal of Pharmaceutical and Biomedical Analysis.
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.