Xiaoning Wu

2.5k citations
37 papers · 1.8k · h-index 17

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Lipid metabolism and biosynthesis

Papers in

Xiaoning Wu

35 papers receiving 1.8k citations

Peers

Xiaoning Wu
Comparison fields: 5 of 105
  • Cancer Research 647
  • Biochemistry 176
  • Molecular Biology 1.0k
  • Hepatology 82
  • Immunology 186
Replace Yu Gu with:
Yu Gu China
Hong Gao China
José M. Rojas Spain
Ilias Mylonis Greece
Lynnetta M. Watts United States
Elke Burgermeister Germany
Anders Berkenstam Sweden
Jinshun Pan China
Hee Chan Yoo South Korea
Michel Raymondjean France
Xiaoning Wu relative to Yu Gu China Yu Gu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoning Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaoning Wu Line = papers co-authored together Xiaoning Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005271
2 2016262
3 2020253
4 2015244
5 2019122
6 202079
7 200472
8 201668
9 201961
10 201850
11 201441
12 201940
13 200939
14 201931
15 200428
16 201522
17 201820
18 201515
19 201715
20 201614

About Xiaoning Wu

Xiaoning Wu is a scholar working on Cancer Research, Biochemistry, Biological Psychiatry, Molecular Biology and Oncology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Tryptophan and brain disorders (3 papers), Lipid metabolism and biosynthesis (3 papers), Epigenetics and DNA Methylation (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), MicroRNA in disease regulation (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Cancer Research (647 citations), Biochemistry (176 citations), Molecular Biology (1.0k citations), Hepatology (82 citations) and Immunology (186 citations). Xiaoning Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Deliang Guo, Feng Geng, Xiang Chao Cheng, Arnab Chakravarti, Chunming Cheng, Jeffrey Yunhua Guo, Xiaokui Molly Mo, Ji Young Yoo, Balveen Kaur and Étienne Lefai. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Biochemical and Biophysical Research Communications, Clinical Cancer Research, International Immunopharmacology 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.

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