Xia Meng

748 total citations
11 papers, 578 citations indexed

About

Xia Meng is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Xia Meng has authored 11 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 1 paper in Surgery. Recurrent topics in Xia Meng's work include Plant Gene Expression Analysis (3 papers), Plant Stress Responses and Tolerance (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). Xia Meng is often cited by papers focused on Plant Gene Expression Analysis (3 papers), Plant Stress Responses and Tolerance (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). Xia Meng collaborates with scholars based in China, Maldives and United States. Xia Meng's co-authors include Qingwei Meng, Nana Ma, Hai‐Long Feng, Dong‐Yue Yang, Guodong Wang, Dong Li, Changai Wu, Xiaodong Li, Jieru Wang and Song Zhang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Experimental Botany and British Journal of Ophthalmology.

In The Last Decade

Xia Meng

11 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xia Meng China 8 440 408 75 37 15 11 578
Hamed Bostan United States 14 314 0.7× 254 0.6× 79 1.1× 57 1.5× 11 0.7× 26 474
Mengfan Qin China 14 589 1.3× 416 1.0× 21 0.3× 87 2.4× 8 0.5× 32 693
Yanchen Tian China 14 806 1.8× 458 1.1× 15 0.2× 106 2.9× 6 0.4× 16 907
Giulia Pagliarani Italy 12 424 1.0× 266 0.7× 28 0.4× 27 0.7× 14 0.9× 16 561
George Aux United States 6 839 1.9× 875 2.1× 23 0.3× 38 1.0× 15 1.0× 6 1.1k
Zaibao Zhang China 13 363 0.8× 334 0.8× 8 0.1× 30 0.8× 19 1.3× 33 507
Dongqing Xu China 15 969 2.2× 755 1.9× 22 0.3× 31 0.8× 11 0.7× 28 1.1k
Jun‐Hye Shin South Korea 11 514 1.2× 316 0.8× 10 0.1× 31 0.8× 21 1.4× 16 609
Wan‐Chieh Chen Taiwan 9 491 1.1× 430 1.1× 20 0.3× 17 0.5× 10 0.7× 11 616
Cui Long-Gang China 3 641 1.5× 407 1.0× 14 0.2× 106 2.9× 5 0.3× 3 726

Countries citing papers authored by Xia Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xia Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Meng. A scholar is included among the top collaborators of Xia Meng 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 Xia Meng. Xia Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Dai, Lu, Xiao‐Xu Wang, Meng Li, et al.. (2024). Ameliorative effect and underlying mechanism of the Xiaxue Kaiqiao formula on age-related dementia in Samp8 mice. Phytomedicine. 135. 155801–155801. 1 indexed citations
3.
He, Siqi, et al.. (2023). New insights on the role of microRNAs in retinal Müller glial cell function. British Journal of Ophthalmology. 108(3). 329–335. 6 indexed citations
4.
Mou, Chunxiao, Kaichuang Shi, Xiang Chen, et al.. (2023). SADS‐CoV nsp1 inhibits the IFN‐β production by preventing TBK1 phosphorylation and inducing CBP degradation. Journal of Medical Virology. 95(9). e29104–e29104. 7 indexed citations
5.
Meng, Xia, Dong‐Yue Yang, Xiaodong Li, et al.. (2015). Physiological changes in fruit ripening caused by overexpression of tomato SlAN2, an R2R3-MYB factor. Plant Physiology and Biochemistry. 89. 24–30. 58 indexed citations
6.
Wang, Guodong, Fanying Kong, Song Zhang, et al.. (2015). A tomato chloroplast-targeted DnaJ protein protects Rubisco activity under heat stress. Journal of Experimental Botany. 66(11). 3027–3040. 87 indexed citations
7.
Wang, Liyan, Xia Meng, Dong‐Yue Yang, et al.. (2014). Overexpression of tomato GDP-l-galactose phosphorylase gene in tobacco improves tolerance to chilling stress. Plant Cell Reports. 33(9). 1441–1451. 38 indexed citations
8.
Meng, Xia, Jieru Wang, Guodong Wang, et al.. (2014). An R2R3-MYB gene, LeAN2, positively regulated the thermo-tolerance in transgenic tomato. Journal of Plant Physiology. 175. 1–8. 68 indexed citations
9.
Ma, Nana, Hai‐Long Feng, Xia Meng, et al.. (2014). Overexpression of tomato SlNAC1transcription factor alters fruit pigmentation and softening. BMC Plant Biology. 14(1). 351–351. 170 indexed citations
10.
Feng, Hai‐Long, Nana Ma, Xia Meng, et al.. (2013). A novel tomato MYC-type ICE1-like transcription factor, SlICE1a, confers cold, osmotic and salt tolerance in transgenic tobacco. Plant Physiology and Biochemistry. 73. 309–320. 115 indexed citations
11.
Ye, Xun, Min Liang, Xia Meng, et al.. (2003). Insulation from viral transcriptional regulatory elements enables improvement to hepatoma-specific gene expression from adenovirus vectors. Biochemical and Biophysical Research Communications. 307(4). 759–764. 27 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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