Meng Yang

3.6k total citations · 1 hit paper
54 papers, 2.4k citations indexed

About

Meng Yang is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, Meng Yang has authored 54 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 12 papers in Molecular Biology and 11 papers in Pollution. Recurrent topics in Meng Yang's work include Plant Stress Responses and Tolerance (9 papers), Plant Micronutrient Interactions and Effects (8 papers) and Plant nutrient uptake and metabolism (6 papers). Meng Yang is often cited by papers focused on Plant Stress Responses and Tolerance (9 papers), Plant Micronutrient Interactions and Effects (8 papers) and Plant nutrient uptake and metabolism (6 papers). Meng Yang collaborates with scholars based in China, United Kingdom and United States. Meng Yang's co-authors include Xingming Lian, Zhong Tang, Fang‐Jie Zhao, Chao‐Feng Huang, Dujun Wang, Kai Lü, Wen‐Xiong Wang, Ying Ye, Xiangrong Wang and Xiaorong Fan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Meng Yang

51 papers receiving 2.3k citations

Hit Papers

Overexpression of a pH-sensitive nitrate transporter in r... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Yang China 26 1.6k 623 354 236 216 54 2.4k
Lijun Liu China 27 1.7k 1.1× 645 1.0× 513 1.4× 102 0.4× 171 0.8× 79 2.6k
Xin‐Yuan Huang China 25 2.1k 1.3× 718 1.2× 528 1.5× 252 1.1× 253 1.2× 55 2.8k
Alvina Gul Pakistan 20 2.4k 1.5× 433 0.7× 639 1.8× 128 0.5× 140 0.6× 100 3.1k
Suchi Srivastava India 23 1.9k 1.2× 760 1.2× 376 1.1× 319 1.4× 281 1.3× 70 2.7k
Najeeb Ullah Pakistan 30 3.0k 1.9× 847 1.4× 568 1.6× 269 1.1× 165 0.8× 157 4.1k
Yong Zhu China 19 1.8k 1.2× 488 0.8× 591 1.7× 123 0.5× 114 0.5× 33 2.4k
Min Yu China 28 2.0k 1.2× 258 0.4× 496 1.4× 131 0.6× 62 0.3× 119 2.6k
Abid Ullah China 29 2.9k 1.9× 458 0.7× 842 2.4× 97 0.4× 171 0.8× 60 3.8k
Rohit Kumar Mishra India 10 994 0.6× 369 0.6× 288 0.8× 108 0.5× 199 0.9× 15 1.8k
Rubén Rellán‐Álvarez Spain 24 2.3k 1.4× 300 0.5× 394 1.1× 57 0.2× 170 0.8× 36 2.7k

Countries citing papers authored by Meng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Meng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Yang. A scholar is included among the top collaborators of Meng Yang 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 Meng Yang. Meng Yang 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.
Yang, Meng, Yongming Zhang, Xiaoyan Zhang, et al.. (2025). Gegen Qinlian Tablets attenuate immune-related adverse events in NSCLC patients: A multi-center randomized controlled trial in China. Phytomedicine. 145. 156968–156968. 1 indexed citations
2.
Yang, Meng, et al.. (2024). Autonomous navigation method based on RGB‐D camera for a crop phenotyping robot. Journal of Field Robotics. 41(8). 2663–2675. 4 indexed citations
3.
Huang, Chun-Yuan, Jian Zhou, Meng Yang, et al.. (2024). Certification of a novel matrix reference material for accurate measurements of aflatoxin M1 in milk powder. Accreditation and Quality Assurance. 29(3). 193–204. 1 indexed citations
4.
Peng, Hao, et al.. (2024). Semaphorin 3C (Sema3C) reshapes stromal microenvironment to promote hepatocellular carcinoma progression. Signal Transduction and Targeted Therapy. 9(1). 169–169. 25 indexed citations
5.
Yang, Meng, Daolin Du, Fang Zhu, & Xiangrong Wang. (2023). Metabolomic analysis reveals the toxicity mechanisms of bisphenol A on the Microcystis aeruginosa under different phosphorus levels. Environmental Pollution. 342. 123022–123022. 7 indexed citations
6.
Sun, Jian, Yujing Cheng, Xiaoqiu Wang, et al.. (2023). Genome-wide assessment of genetic diversity and association mapping for salt tolerance traits in okra (Abelmoschus esculentus L. Moench) using genotyping-by-sequencing. Scientia Horticulturae. 313. 111922–111922. 4 indexed citations
7.
Li, Dandan, Jing Yang, Meng Yang, et al.. (2023). GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination. Rice. 16(1). 49–49. 11 indexed citations
8.
Yang, Meng, Brigid A. McKenna, Xingming Lian, et al.. (2022). Fast X-ray fluorescence microscopy provides high-throughput phenotyping of element distribution in seeds. PLANT PHYSIOLOGY. 191(3). 1520–1534. 8 indexed citations
9.
Yang, Meng & Wen‐Xiong Wang. (2022). Recognition and movement of polystyrene nanoplastics in fish cells. Environmental Pollution. 316(Pt 2). 120627–120627. 27 indexed citations
10.
Su, Ling, Jing Yang, Dandan Li, et al.. (2021). Dynamic genome-wide association analysis and identification of candidate genes involved in anaerobic germination tolerance in rice. Rice. 14(1). 1–1. 43 indexed citations
12.
Wang, Dujun, Wenjuan Wu, Long Li, et al.. (2020). Overexpression of OsMYB305 in Rice Enhances the Nitrogen Uptake Under Low-Nitrogen Condition. Frontiers in Plant Science. 11. 369–369. 44 indexed citations
13.
Yang, Meng, Jing Yang, Ling Su, et al.. (2019). Metabolic profile analysis and identification of key metabolites during rice seed germination under low-temperature stress. Plant Science. 289. 110282–110282. 99 indexed citations
14.
Zhang, Yuanyuan, Kai Chen, Fang‐Jie Zhao, et al.. (2018). OsATX1 Interacts with Heavy Metal P1B-Type ATPases and Affects Copper Transport and Distribution. PLANT PHYSIOLOGY. 178(1). 329–344. 89 indexed citations
15.
Yang, Meng, et al.. (2017). Research on the Remote Monitoring System for Chemical Raw Materials in Storage Tank Based on ARM Embedded System. SHILAP Revista de lepidopterología. 62. 757–762. 1 indexed citations
16.
Ye, Ying, Peng Li, Liting Zeng, et al.. (2017). OsPT4 Contributes to Arsenate Uptake and Transport in Rice. Frontiers in Plant Science. 8. 2197–2197. 104 indexed citations
17.
Fan, Xiaorong, Zhong Tang, Yawen Tan, et al.. (2016). Overexpression of a pH-sensitive nitrate transporter in rice increases crop yields. Proceedings of the National Academy of Sciences. 113(26). 7118–7123. 292 indexed citations breakdown →
19.
Yang, Meng, et al.. (2013). OsNRAMP3 Is a Vascular Bundles-Specific Manganese Transporter That Is Responsible for Manganese Distribution in Rice. PLoS ONE. 8(12). e83990–e83990. 62 indexed citations
20.
Lu, Yongen, Feng Luo, Meng Yang, Xianghua Li, & Xingming Lian. (2011). Suppression of glutamate synthase genes significantly affects carbon and nitrogen metabolism in rice (Oryza sativa L.). Science China Life Sciences. 54(7). 651–663. 39 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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