Wenge Liu

2.2k total citations
76 papers, 1.2k citations indexed

About

Wenge Liu is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Wenge Liu has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 26 papers in Molecular Biology and 26 papers in Genetics. Recurrent topics in Wenge Liu's work include Advances in Cucurbitaceae Research (26 papers), Plant Molecular Biology Research (12 papers) and Plant tissue culture and regeneration (11 papers). Wenge Liu is often cited by papers focused on Advances in Cucurbitaceae Research (26 papers), Plant Molecular Biology Research (12 papers) and Plant tissue culture and regeneration (11 papers). Wenge Liu collaborates with scholars based in China, Egypt and United States. Wenge Liu's co-authors include Xuqiang Lü, Nan He, Shengjie Zhao, Stephen R. King, Hongju Zhu, Angela R. Davis, Amnon Levi, Junling Dou, Ali Aslam and Pingli Yuan and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Wenge Liu

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wenge Liu China 18 801 425 355 104 92 76 1.2k
Margarita Orejas Spain 20 608 0.8× 1.3k 3.0× 106 0.3× 119 1.1× 31 0.3× 33 1.7k
Aiko Uemura Japan 17 2.0k 2.5× 842 2.0× 738 2.1× 73 0.7× 61 0.7× 24 2.4k
Dong An China 17 654 0.8× 375 0.9× 239 0.7× 29 0.3× 8 0.1× 24 944
Songbiao Chen China 20 1.9k 2.4× 1.3k 3.0× 180 0.5× 22 0.2× 19 0.2× 53 2.3k
Kanokporn Triwitayakorn Thailand 22 917 1.1× 282 0.7× 223 0.6× 93 0.9× 4 0.0× 61 1.3k
A. M. Torres Spain 36 2.8k 3.4× 529 1.2× 295 0.8× 54 0.5× 13 0.1× 97 3.1k
Lei Pan China 17 467 0.6× 452 1.1× 70 0.2× 75 0.7× 4 0.0× 45 902
Clemencia M. Rojas United States 19 1.3k 1.7× 652 1.5× 51 0.1× 51 0.5× 14 0.2× 30 1.6k
Catalina Romero Lopes Brazil 22 1.1k 1.4× 491 1.2× 355 1.0× 21 0.2× 15 0.2× 60 1.5k
Margarida Rodrigues Santos Portugal 9 283 0.4× 108 0.3× 211 0.6× 129 1.2× 9 0.1× 13 522

Countries citing papers authored by Wenge Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wenge Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenge Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenge Liu. A scholar is included among the top collaborators of Wenge Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenge Liu. Wenge Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Fang & Wenge Liu. (2025). Aging workforce and industrial Robots: Industry-Level evidence from Japan. The Journal of the Economics of Ageing. 32. 100602–100602.
2.
Zhu, Hongju, et al.. (2024). Polyploidization Impact on Plant Architecture of Watermelon (Citrullus lanatus). Horticulturae. 10(6). 569–569. 1 indexed citations
3.
Lü, Bing, et al.. (2024). The firms’ perception of global uncertainty and R&D investment: Evidence from China. Research in International Business and Finance. 73. 102578–102578. 3 indexed citations
4.
Lü, Xuqiang, Nan He, Muhammad Anees, et al.. (2024). A Comparison of Watermelon Flesh Texture across Different Ploidy Levels Using Histology and Cell Wall Measurements. Horticulturae. 10(2). 112–112. 4 indexed citations
5.
Jia, Weiping, et al.. (2023). Digitalization and economic growth in the new classical and new structural economics perspectives. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1(1). 8 indexed citations
6.
Elsheikha, Hany M., Wenge Liu, Zhiwei Zhang, et al.. (2021). The Role of Type II Fatty Acid Synthesis Enzymes FabZ, ODSCI, and ODSCII in the Pathogenesis of Toxoplasma gondii Infection. Frontiers in Microbiology. 12. 703059–703059. 13 indexed citations
7.
Luo, Jin, Qiaoyun Ren, Wenge Liu, et al.. (2021). Micropathogen community identification in ticks (Acari: Ixodidae) using third-generation sequencing. International Journal for Parasitology Parasites and Wildlife. 15. 238–248. 3 indexed citations
8.
Gong, Chengsheng, Hongju Zhu, Muhammad Jawad Umer, et al.. (2021). Metabolome and Transcriptome Integration Reveals Insights Into Flavor Formation of ‘Crimson’ Watermelon Flesh During Fruit Development. Frontiers in Plant Science. 12. 629361–629361. 33 indexed citations
9.
Aslam, Ali, et al.. (2020). Rootstock mediates transcriptional regulation of citrulline metabolism in grafted watermelon. Brazilian Journal of Biology. 81(1). 125–136. 3 indexed citations
10.
Umer, Muhammad Jawad, Luqman Bin Safdar, Haileslassie Gebremeskel, et al.. (2020). Identification of key gene networks controlling organic acid and sugar metabolism during watermelon fruit development by integrating metabolic phenotypes and gene expression profiles. Horticulture Research. 7(1). 193–193. 102 indexed citations
11.
Liu, Wenge, Jin Luo, Qiaoyun Ren, et al.. (2020). A Novel miRNA—hlo-miR-2—Serves as a Regulatory Factor That Controls Molting Events by Targeting CPR1 in Haemaphysalis longicornis Nymphs. Frontiers in Microbiology. 11. 1098–1098. 6 indexed citations
12.
Gao, Lei, et al.. (2016). Linkage Analysis on Flesh Firmness of Watermelon [Citrullus lanatus(Thunb.) Mansf. ]by SSR Molecular Marker. Zhiwu yichuan ziyuan xuebao. 17(5). 870. 3 indexed citations
13.
Liu, Wenge, et al.. (2016). MIC16 gene represents a potential novel genetic marker for population genetic studies of Toxoplasma gondii. BMC Microbiology. 16(1). 101–101. 5 indexed citations
14.
He, Nan, et al.. (2014). Studies on DNA fingerprinting and genetic diversity of seedless watermelon (Citrullus lanatus) varieties using core simple sequence repeat (SSR) markers.. Journal of Pharmaceutical and Biomedical Sciences. 22(2). 188–194. 4 indexed citations
15.
Liu, Wenge. (2013). Research progress on metabolic and molecular regulation of lycopene. Guoshu xuebao. 1 indexed citations
16.
Davis, Angela R., Charles L. Webber, Wenge Liu, et al.. (2013). Watermelon Quality Traits as Affected by Ploidy. HortScience. 48(9). 1113–1118. 11 indexed citations
17.
Liu, Wenge. (2012). Fingerprinting of Zhengkang Triploid Seedless Watermelon Varieties Using SSR Markers. 1 indexed citations
18.
Liu, Wenge. (2010). Status and Development Countermeasure of Seedless Watermelon Industry in China. 3 indexed citations
19.
Liu, Wenge. (2009). Study on Resistance to Fusarium Wilt in Different Polyploidy of Watermelons. 1 indexed citations
20.
Liu, Wenge. (2004). Effect of cold hardening on SOD,POD activities and on contents of MDA in different ploidy watermelon seedling. Xibei zhiwu xuebao. 3 indexed citations

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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