Shan Meng

489 total citations
20 papers, 334 citations indexed

About

Shan Meng is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Shan Meng has authored 20 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 6 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Shan Meng's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Soybean genetics and cultivation (5 papers) and Plant Molecular Biology Research (5 papers). Shan Meng is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Soybean genetics and cultivation (5 papers) and Plant Molecular Biology Research (5 papers). Shan Meng collaborates with scholars based in China, Canada and New Zealand. Shan Meng's co-authors include Tuanjie Zhao, Jianbo He, Junyi Gai, Guangnan Xing, Shouping Yang, Jiangjie Lu, Yufeng Wang, Peng Xu, Xinlian Shen and Zhenzhen Xu and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Shan Meng

18 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Meng China 10 283 92 85 15 12 20 334
J. Gai China 9 361 1.3× 101 1.1× 125 1.5× 8 0.5× 3 0.3× 15 420
Haiying Guan China 9 303 1.1× 118 1.3× 129 1.5× 2 0.1× 11 0.9× 18 345
Minliang Jin China 6 314 1.1× 237 2.6× 127 1.5× 2 0.1× 5 0.4× 8 392
Xuefei Yang China 7 548 1.9× 96 1.0× 328 3.9× 5 0.3× 26 2.2× 17 608
April Leonard United States 6 258 0.9× 52 0.6× 212 2.5× 2 0.1× 9 0.8× 6 340
Elsa Reimer Canada 8 290 1.0× 55 0.6× 62 0.7× 19 1.3× 3 0.3× 11 304
Wolfgang Goettel United States 12 428 1.5× 49 0.5× 131 1.5× 5 0.3× 7 0.6× 12 458
Luoye Li China 9 283 1.0× 43 0.5× 128 1.5× 2 0.1× 5 0.4× 13 317
Lijie Han China 10 238 0.8× 95 1.0× 163 1.9× 3 0.2× 15 1.3× 24 312
Liancheng Wu China 11 311 1.1× 85 0.9× 165 1.9× 9 0.6× 25 369

Countries citing papers authored by Shan Meng

Since Specialization
Citations

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

Fields of papers citing papers by Shan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Meng. A scholar is included among the top collaborators of Shan 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 Shan Meng. Shan Meng 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.
Xu, Zhenzhen, Wenjie Ding, Shan Meng, et al.. (2025). Development of a set of monosomic alien addition lines from Gossypium raimondii in Gossypium hirsutum toward breeding applications in cotton. BMC Plant Biology. 25(1). 150–150. 1 indexed citations
2.
Xu, Beibei, Yinli Xu, Shan Meng, et al.. (2024). S-Methyl-l-cysteine targeting MsrA attenuates Ang II-induced oxidative stress and atrial remodeling via the p38 MAPK signaling pathway. Food & Function. 15(18). 9165–9175. 6 indexed citations
3.
Meng, Shan, Yujing Wang, Xukai Li, et al.. (2024). Identification and characterization of four novel xiaomi alleles to facilitate foxtail millet as a C4 model plant. Plant Growth Regulation. 103(3). 625–634.
4.
Xu, Tingting, et al.. (2023). Integrated GWAS and transcriptomic analysis reveal the candidate salt-responding genes regulating Na+/K+ balance in barley (Hordeum vulgare L.). Frontiers in Plant Science. 13. 1004477–1004477. 7 indexed citations
5.
Zhang, Hongmei, Wei Zhang, Shan Meng, et al.. (2023). Construction of a high-density genetic map for yardlong bean and identification of ANT1 as a regulator of anthocyanin biosynthesis. Horticulture Research. 11(1). uhad247–uhad247. 1 indexed citations
6.
Fan, Xinqi, Qi Guo, Xiaojuan Zhang, et al.. (2023). The Identification of a Yield-Related Gene Controlling Multiple Traits Using GWAS in Sorghum (Sorghum bicolor L.). Plants. 12(7). 1557–1557. 7 indexed citations
7.
Huang, Yichen, Shan Meng, Jiaying Li, et al.. (2023). HSPB2 facilitates neural regeneration through autophagy for sensorimotor recovery after traumatic brain injury. JCI Insight. 8(16). 11 indexed citations
8.
Tan, Helin, Shan Meng, Mengmeng Duan, et al.. (2022). Genome-wide identification and characterization of the NPF genes provide new insight into low nitrogen tolerance in Setaria. Frontiers in Plant Science. 13. 1043832–1043832. 11 indexed citations
9.
10.
Xu, Peng, Qi Guo, Shan Meng, et al.. (2021). Genome-wide association analysis reveals genetic variations and candidate genes associated with salt tolerance related traits in Gossypium hirsutum. BMC Genomics. 22(1). 26–26. 38 indexed citations
11.
Cai, Chunbo, Meng Li, Shan Meng, et al.. (2020). Comparative Transcriptome Analyses of Longissimus thoracis Between Pig Breeds Differing in Muscle Characteristics. Frontiers in Genetics. 11. 526309–526309. 25 indexed citations
12.
Guo, Qi, Shan Meng, Juan Feng, et al.. (2020). Overexpression of a samphire high-affinity potassium transporter gene SbHKT1 enhances salt tolerance in transgenic cotton. Acta Physiologiae Plantarum. 42(3). 11 indexed citations
13.
14.
Guo, Qi, Liang Zhao, Xinqi Fan, et al.. (2019). Transcription Factor GarWRKY5 Is Involved in Salt Stress Response in Diploid Cotton Species (Gossypium aridum L.). International Journal of Molecular Sciences. 20(21). 5244–5244. 19 indexed citations
15.
Zhang, Yinghu, Jianbo He, Hongwei Wang, et al.. (2018). Detecting the QTL-Allele System of Seed Oil Traits Using Multi-Locus Genome-Wide Association Analysis for Population Characterization and Optimal Cross Prediction in Soybean. Frontiers in Plant Science. 9. 1793–1793. 18 indexed citations
16.
17.
He, Jianbo, Shan Meng, Tuanjie Zhao, et al.. (2017). An innovative procedure of genome-wide association analysis fits studies on germplasm population and plant breeding. Theoretical and Applied Genetics. 130(11). 2327–2343. 90 indexed citations
18.
Meng, Shan, Jianbo He, Tuanjie Zhao, et al.. (2016). Detecting the QTL-allele system of seed isoflavone content in Chinese soybean landrace population for optimal cross design and gene system exploration. Theoretical and Applied Genetics. 129(8). 1557–1576. 52 indexed citations
19.
Meng, Shan. (2015). Cloning and expression analysis of extracellular signal- regulated kinase ERK gene from the desert beetle Microdera punctipennis. 2 indexed citations
20.
Meng, Shan, et al.. (2014). Identification of Regulatory Genes Implicated in Continuous Flowering of Longan (Dimocarpus longan L.). PLoS ONE. 9(12). e114568–e114568. 26 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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