Xia Wu

537 citations
17 papers · 418 · h-index 10

Impact in

    • Pluripotent Stem Cells Research
    • Protein Hydrolysis and Bioactive Peptides
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • Insect Utilization and Effects

Papers in

Xia Wu

17 papers receiving 411 citations

Peers

Xia Wu
Comparison fields: 5 of 57
  • Molecular Biology 304
  • Insect Science 51
  • Public Health, Environmental and Occupational Health 105
  • Genetics 98
  • Animal Science and Zoology 31
Replace Andrej Baláži with:
Andrej Baláži Slovakia
Minli Yu China
S. A. Masudul Hoque Bangladesh
Takako Awano Japan
Graziana Maria Scigliuolo Italy
Debing Yu China
Fang-Nong Lai China
Joyce R. Maddox United States
Alfredo F. Galvez United States
Yunwei Pang China
Xia Wu relative to Andrej Baláži Slovakia Andrej Baláži's profile →
Citations per field
00.5×4.2×
Andrej Baláži · 1×
Citations per year

Countries citing papers authored by Xia Wu

Since Specialization
Citations

This map shows the geographic impact of Xia 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 Xia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Wu more than expected).

Fields of papers citing papers by Xia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xia 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 Xia Wu. The network helps show where Xia Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Xia 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 Xia Wu Line = papers co-authored together Xia Wu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2015116
2 201176
3 201046
4 200838
5 201830
6 201627
7 201121
8 201213
9 202012
10
Effect of TEAD4 on multilineage differentiation of muscle-derived stem cells.
201810
11 20119
12 20117
13 20115
14 20104
15 20192
16 20241
17 20081

About Xia Wu

Xia Wu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Pediatrics, Perinatology and Child Health and Plant Science, having authored 17 papers that have together received 418 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Reproductive Biology and Fertility (6 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (3 papers), Animal Genetics and Reproduction (3 papers), Renal and related cancers (2 papers), Prenatal Screening and Diagnostics (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Molecular Biology (304 citations), Insect Science (51 citations), Public Health, Environmental and Occupational Health (105 citations), Genetics (98 citations) and Animal Science and Zoology (31 citations). Xia Wu has collaborated with scholars based in China and United States. Frequent co-authors include Qian Sun, Linhua Huang, Qiaojuan Yan, Zhengqiang Jiang, Guangpeng Li, Zhuying Wei, Haiquan Yu, Lingling Wang, Shorgan Bou and Hao Jing. Their work appears in journals such as Cellular Reprogramming, Scientific Reports, Cell Research, Food Chemistry and The International Journal of Biochemistry & Cell 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.

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