Wu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- RNA Research and Splicing
- Extracellular vesicles in disease
Papers in
- Genetics 45
- Genetic Mapping and Diversity in Plants and Animals 28
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- Circular RNAs in diseases 7
- Co-authors
- Mo Mo (1 shared paper)Zhu (2 shared papers)Hailong Hailong (1 shared paper)Shijie (1 shared paper)Sheng (2 shared papers)Nie (1 shared paper)Zhang (18 shared papers)Chen (1 shared paper)
- Journals
- International Journal of Nanomedicine (1 paper)Clinical Cosmetic and Investigational Dermatology (1 paper)中国科学通报：英文版 (4 papers)中国癌症研究：英文版 (1 paper)农业科学学报：英文版 (9 papers)
In The Last Decade
Wu
120 papers receiving 1.1k citations
Wu's Hit Papers
Peers
Comparison fields: 5 of 103
- Cancer Research 678
- Molecular Biology 836
- Complementary and alternative medicine 34
- Plant Science 135
- Biotechnology 31
Countries citing papers authored by Wu
This map shows the geographic impact of 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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu more than expected).
Fields of papers citing papers by Wu
This network shows the impact of papers produced by 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 Wu. The network helps show where Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MicroRNA-21 targets tumor suppressor genes in invasion and metastasis Hit paper breakdown → | 2008 | 721 |
| 2 | 2012 | 48 | |
| 3 | 2008 | 36 | |
| 4 | Circulating miR-214 is associated with the severity of coronary artery disease | 2013 | 29 |
| 5 | Isolation and characterization of Pseudomonas otitidis WL-13 and its capacity to decolorize triphenylmethane dyes | 2009 | 25 |
| 6 | Clinicopathological and prognostic role of MMP-9 in esophageal squamous cell carcinoma： a meta-analysis | 2013 | 13 |
| 7 | The Selection of Transgenic Recipients from New Elite Wheat Cultivars and Study on Its Plant Regeneration System | 2006 | 12 |
| 8 | Study on Antimicrobial and Antiviral Activities of Lysozyme From Marine Strain S-12-86 In Vitro | 2008 | 12 |
| 9 | Avoidance of Linkage Drag Between Blast Resistance Gene and the QTL Conditioning Spikelet Fertility Based on Genotype Selection Against Heading Date in Rice | 2009 | 11 |
| 10 | Association between the serotonin 1A receptor C（-1019）G polymorphism and major depressive disorder in the northern Han ethnic group in China | 2008 | 10 |
| 11 | Resistance of Antimicrobial Peptide Gene Transgenic Rice to Bacterial Blight | 2011 | 9 |
| 12 | Identification of QTLs for Yield-Related Traits in the Recombinant Inbred Line Population Derived from the Cross Between a Synthetic Hexaploid Wheat- Derived Variety Chuanmai 42 and a Chinese Elite Variety Chuannong 16 | 2011 | 8 |
| 13 | Xeroderma pigmentosum group D polymorphisms and esophageal cancer susceptibility: A meta-analysis based on case-control studies | 2014 | 7 |
| 14 | Phylogenetic Relationships of Sorghum and Related Species Inferred from Sequence Analysis of the nrDNA ITS Region | 2006 | 7 |
| 15 | Characterization of a recombinant thermostable xylanase from deep-sea thermophilic Geobacillus sp MT-1 in East Pacific | 2007 | 7 |
| 16 | Characterization of an extracellular serine protease gene from the nematophagous fungus Lecanicillium psalliotae | 2007 | 7 |
| 17 | Molecular and morphological evidences reveal a cryptic species in the Vinaceous Rosefinch Carpodacus vinaceus (Fringillidae; Aves) | 2011 | 7 |
| 18 | Genotoxicity evaluation of drinking water sources in human peripheral blood lymphocytes using the comet assay | 2008 | 6 |
| 19 | Cycloartenol triterpenoid saponins from Cimicifuga simplex （Ranunculaceae） and their biological effects | 2015 | 6 |
| 20 | New secondary batteries and their key materials based on the concept of multi-electron reaction | 2014 | 5 |
About Wu
Wu is a scholar working on Genetics, Molecular Biology, Cancer Research, Plant Science and Biotechnology, having authored 128 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (28 papers), MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (11 papers), GABA and Rice Research (10 papers), Enzyme Production and Characterization (8 papers), Rice Cultivation and Yield Improvement (7 papers), Circular RNAs in diseases (7 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Cancer Research (678 citations), Molecular Biology (836 citations), Complementary and alternative medicine (34 citations), Plant Science (135 citations) and Biotechnology (31 citations). Wu has collaborated with scholars based in Taiwan and China. Frequent co-authors include Mo Mo, Zhu, Hailong Hailong, Shijie, Sheng, Nie, Zhang, Chen, Chen and Jingguo Li. Their work appears in journals such as International Journal of Nanomedicine, Clinical Cosmetic and Investigational Dermatology, 中国科学通报：英文版, 中国癌症研究：英文版 and 农业科学学报：英文版.
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.