Zhigang Meng

2.0k total citations · 1 hit paper
41 papers, 1.2k citations indexed

About

Zhigang Meng is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Zhigang Meng has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 29 papers in Molecular Biology and 2 papers in Endocrinology. Recurrent topics in Zhigang Meng's work include Research in Cotton Cultivation (16 papers), Plant Molecular Biology Research (15 papers) and Plant tissue culture and regeneration (9 papers). Zhigang Meng is often cited by papers focused on Research in Cotton Cultivation (16 papers), Plant Molecular Biology Research (15 papers) and Plant tissue culture and regeneration (9 papers). Zhigang Meng collaborates with scholars based in China, Canada and Pakistan. Zhigang Meng's co-authors include Sandui Guo, Rui Zhang, Chengzhen Liang, Guoqing Sun, Τao Zhu, Zhaoghong Meng, Waqas Malik, Xiang Zhao, Changjiao Sun and Wenjie Chen and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Zhigang Meng

40 papers receiving 1.2k citations

Hit Papers

CottonFGD: an integrated ... 2017 2026 2020 2023 2017 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
Zhigang Meng China 17 942 699 77 67 47 41 1.2k
Sandui Guo China 18 1.1k 1.1× 726 1.0× 70 0.9× 78 1.2× 34 0.7× 54 1.4k
Ziyi Yin China 19 851 0.9× 595 0.9× 62 0.8× 22 0.3× 44 0.9× 53 1.1k
Peitao Lü China 17 1.4k 1.5× 937 1.3× 66 0.9× 25 0.4× 26 0.6× 45 1.6k
Wuwei Ye China 21 1.2k 1.2× 723 1.0× 44 0.6× 20 0.3× 28 0.6× 88 1.4k
Xinzhong Zhang China 25 1.4k 1.5× 621 0.9× 52 0.7× 18 0.3× 64 1.4× 84 1.6k
Vivek Dogra India 20 926 1.0× 858 1.2× 28 0.4× 22 0.3× 39 0.8× 42 1.3k
Xueping Chen China 19 902 1.0× 785 1.1× 36 0.5× 29 0.4× 154 3.3× 72 1.3k
Craig C. Wood Australia 22 1.7k 1.8× 1.2k 1.8× 25 0.3× 122 1.8× 96 2.0× 43 2.3k
Carla Benelli Italy 16 683 0.7× 624 0.9× 40 0.5× 77 1.1× 48 1.0× 71 880
José Gadea Spain 23 1.2k 1.3× 788 1.1× 21 0.3× 40 0.6× 33 0.7× 53 1.6k

Countries citing papers authored by Zhigang Meng

Since Specialization
Citations

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

Fields of papers citing papers by Zhigang Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhigang Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhigang Meng. A scholar is included among the top collaborators of Zhigang 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 Zhigang Meng. Zhigang 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.
Wang, Yanan, Qi Zhou, Jilong Zhang, et al.. (2024). Natural variation at the cotton HIC locus increases trichome density and enhances resistance to aphids. The Plant Journal. 120(4). 1304–1316. 2 indexed citations
2.
Wei, Yunxiao, Kaili Li, Chengzhen Liang, et al.. (2023). Genetic and transcriptome analysis of a cotton leaf variegation mutant. Gene. 866. 147257–147257. 2 indexed citations
3.
Wang, Peilin, Xin Nie, Muhammad Ali Abid, et al.. (2023). Forskolin improves salt tolerance of Gossypium hirsutum L. by upregulation of GhLTI65. Industrial Crops and Products. 201. 116900–116900. 4 indexed citations
4.
Wei, Yunxiao, Chao Lu, Kaili Li, et al.. (2023). Genome-wide identification and expression analysis of the cotton patatin-related phospholipase A genes and response to stress tolerance. Planta. 257(3). 49–49. 7 indexed citations
5.
Abid, Muhammad Ali, Qi Zhou, Zhigang Meng, et al.. (2023). Natural variation in Beauty Mark is associated with UV-based geographical adaptation in Gossypium species. BMC Biology. 21(1). 106–106. 2 indexed citations
6.
Wei, Yunxiao, Kaili Li, Chengzhen Liang, et al.. (2023). GbLMI1 over-expression improves cotton aboveground vegetative growth. Journal of Integrative Agriculture. 23(10). 3457–3467.
7.
Wei, Yunxiao, Chengzhen Liang, Zhigang Meng, et al.. (2023). GhTPPA_2 enhancement of tobacco sugar accumulation and drought tolerance. Gene. 894. 147969–147969. 1 indexed citations
8.
Abid, Muhammad, Zhigang Meng, Manzar Abbas, et al.. (2022). Integrating advancements in root phenotyping and genome‐wide association studies to open the root genetics gateway. Physiologia Plantarum. 174(6). e13787–e13787. 5 indexed citations
9.
Zhou, Yu, Chengzhen Liang, Zhigang Meng, et al.. (2022). Insights Into MicroRNA-Mediated Regulation of Flowering Time in Cotton Through Small RNA Sequencing. Frontiers in Plant Science. 13. 761244–761244. 12 indexed citations
10.
Meng, Zhigang, et al.. (2022). Computational Drug Repurposing Based on a Recommendation System and Drug–Drug Functional Pathway Similarity. Molecules. 27(4). 1404–1404. 12 indexed citations
12.
Wang, Yanan, Yuan Wang, Zhigang Meng, et al.. (2021). Elevation of GhDREB1B transcription by a copy number variant significantly improves chilling tolerance in cotton. Planta. 254(2). 42–42. 14 indexed citations
13.
Zhao, Xiang, Zhigang Meng, Yan Wang, et al.. (2017). Pollen magnetofection for genetic modification with magnetic nanoparticles as gene carriers. Nature Plants. 3(12). 956–964. 256 indexed citations
14.
Zhu, Tao, Chengzhen Liang, Zhigang Meng, Sandui Guo, & Ruisheng Zhang. (2017). GFF3sort: a novel tool to sort GFF3 files for tabix indexing. BMC Bioinformatics. 18(1). 482–482. 6 indexed citations
15.
Abid, Muhammad, Chengzhen Liang, Waqas Malik, et al.. (2017). Cascades of Ionic and Molecular Networks Involved in Expression of Genes Underpin Salinity Tolerance in Cotton. Journal of Plant Growth Regulation. 37(2). 668–679. 17 indexed citations
16.
Liang, Chengzhen, Zhigang Meng, Waqas Malik, et al.. (2016). Progress in genome sequencing will accelerate molecular breeding in cotton (Gossypium spp.). 3 Biotech. 6(2). 217–217. 17 indexed citations
17.
Sun, Bao, Guoqing Sun, Zhigang Meng, Rui Zhang, & Sandui Guo. (2016). A novel constitutive promoter and its downstream 5′ UTR derived from cotton (Gossypium spp.) drive high-level gene expression in stem and leaf tissues. Journal of Integrative Agriculture. 15(4). 755–762. 2 indexed citations
18.
Meng, Zhigang, Zhaohong Meng, Rui Zhang, et al.. (2015). Expression of the Rice Arginase Gene OsARG in Cotton Influences the Morphology and Nitrogen Transition of Seedlings. PLoS ONE. 10(11). e0141530–e0141530. 18 indexed citations
19.
Shi, Yali, Sandui Guo, Rui Zhang, Zhigang Meng, & Maozhi Ren. (2013). The role of Somatic embryogenesis receptor-like kinase 1 in controlling pollen production of the Gossypium anther. Molecular Biology Reports. 41(1). 411–422. 18 indexed citations
20.
Ye, Bo, et al.. (1999). Nucleotide Sequence of a Resistance Gene Homologue from Oryza Officinals Wall (Acc. No. AJ246006). (PGR99-152).. PLANT PHYSIOLOGY. 121(2). 686–686. 23 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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