Huijuan Mo

1.2k total citations
24 papers, 760 citations indexed

About

Huijuan Mo is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Huijuan Mo has authored 24 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 12 papers in Molecular Biology and 2 papers in Agronomy and Crop Science. Recurrent topics in Huijuan Mo's work include Research in Cotton Cultivation (10 papers), Plant Virus Research Studies (6 papers) and Insect Resistance and Genetics (5 papers). Huijuan Mo is often cited by papers focused on Research in Cotton Cultivation (10 papers), Plant Virus Research Studies (6 papers) and Insect Resistance and Genetics (5 papers). Huijuan Mo collaborates with scholars based in China, Pakistan and United States. Huijuan Mo's co-authors include Muhammad Mubashar Zafar, Zhiying Ma, Xingfen Wang, Zuoren Yang, Lili Lu, Amir Shakeel, Zhi Wang, Abdul Razzaq, Maozhi Ren and Fuguang Li and has published in prestigious journals such as Nature Communications, Scientific Reports and The Plant Journal.

In The Last Decade

Huijuan Mo

24 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huijuan Mo China 16 671 332 48 46 29 24 760
Claire Bendix United States 8 892 1.3× 327 1.0× 51 1.1× 47 1.0× 31 1.1× 11 940
Tuo Qi China 12 632 0.9× 238 0.7× 30 0.6× 94 2.0× 19 0.7× 27 671
Christine Lariagon France 14 700 1.0× 190 0.6× 19 0.4× 82 1.8× 15 0.5× 20 737
Jennifer J. Randall United States 12 300 0.4× 127 0.4× 27 0.6× 26 0.6× 12 0.4× 54 389
James Frelichowski United States 10 555 0.8× 188 0.6× 41 0.9× 152 3.3× 4 0.1× 21 614
Caixiang Wang China 13 475 0.7× 118 0.4× 18 0.4× 98 2.1× 27 0.9× 32 562
J. Hollis Rice United States 14 650 1.0× 175 0.5× 38 0.8× 6 0.1× 20 0.7× 25 692
G. Pelletier Canada 14 435 0.6× 418 1.3× 32 0.7× 20 0.4× 29 1.0× 28 573
Sihui Zhong Canada 9 721 1.1× 279 0.8× 48 1.0× 6 0.1× 48 1.7× 9 767
Tong Geon Lee United States 13 918 1.4× 251 0.8× 32 0.7× 6 0.1× 27 0.9× 33 991

Countries citing papers authored by Huijuan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Huijuan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huijuan Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Huijuan Mo. A scholar is included among the top collaborators of Huijuan Mo 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 Huijuan Mo. Huijuan Mo 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.
Hong, Chaopeng, Rui Zhong, Mengyao Xu, et al.. (2024). Interactions Among Food Systems, Climate Change, and Air Pollution: A Review. Engineering. 44. 215–233. 5 indexed citations
2.
Mo, Huijuan, Guanjing Hu, Xiumei Luo, et al.. (2024). iJAZ-based approach to engineer lepidopteran pest resistance in multiple crop species. Nature Plants. 10(5). 771–784. 10 indexed citations
3.
Yan, Da, et al.. (2024). Heterologous expression of taxane genes confers resistance to fall armyworm in Nicotiana benthamiana. Plant Cell Reports. 43(4). 94–94. 1 indexed citations
4.
Zafar, Muhammad Mubashar, Abdul Rehman, Abdul Razzaq, et al.. (2022). Genome-wide characterization and expression analysis of Erf gene family in cotton. BMC Plant Biology. 22(1). 134–134. 47 indexed citations
5.
Zafar, Muhammad Mubashar, Ghulam Mustafa, Atif Idrees, et al.. (2022). Heterologous expression of cry3Bb1 and cry3 genes for enhanced resistance against insect pests in cotton. Scientific Reports. 12(1). 10878–10878. 32 indexed citations
6.
Zafar, Muhammad Mubashar, Jia Xue, Amir Shakeel, et al.. (2022). Unraveling Heat Tolerance in Upland Cotton (Gossypium hirsutum L.) Using Univariate and Multivariate Analysis. Frontiers in Plant Science. 12. 727835–727835. 57 indexed citations
7.
Mo, Huijuan, et al.. (2022). Arginine Decarboxylase Gene ADC2 Regulates Fiber Elongation in Cotton. Genes. 13(5). 784–784. 4 indexed citations
8.
Zhang, Xiong‐Fei, et al.. (2022). Deep Recurrent Q Networks for Urban Traffic Signal Control. 318–325. 1 indexed citations
9.
Zafar, Muhammad Mubashar, Amir Shakeel, Muhammad Haroon, et al.. (2021). Effects of Salinity Stress on Some Growth, Physiological, and Biochemical Parameters in Cotton (Gossypium hirsutum L.) Germplasm. Journal of Natural Fibers. 19(14). 8854–8886. 23 indexed citations
10.
Zafar, Muhammad Mubashar, Abdul Manan, Abdul Razzaq, et al.. (2021). Exploiting Agronomic and Biochemical Traits to Develop Heat Resilient Cotton Cultivars under Climate Change Scenarios. Agronomy. 11(9). 1885–1885. 35 indexed citations
11.
Zhu, Tingting, Linxuan Li, Li Feng, Huijuan Mo, & Maozhi Ren. (2020). Target of Rapamycin Regulates Genome Methylation Reprogramming to Control Plant Growth in Arabidopsis. Frontiers in Genetics. 11. 186–186. 27 indexed citations
12.
Zafar, Muhammad Mubashar, Abdul Razzaq, Muhammad Awais Farooq, et al.. (2020). Insect resistance management in Bacillus thuringiensis cotton by MGPS (multiple genes pyramiding and silencing). Journal of Cotton Research. 3(1). 32 indexed citations
13.
Yang, Zhaoen, Xiaoyang Ge, Zuoren Yang, et al.. (2019). Extensive intraspecific gene order and gene structural variations in upland cotton cultivars. Nature Communications. 10(1). 2989–2989. 178 indexed citations
14.
Qanmber, Ghulam, Faiza Ali, Lili Lu, et al.. (2019). Identification of Histone H3 (HH3) Genes in Gossypium hirsutum Revealed Diverse Expression During Ovule Development and Stress Responses. Genes. 10(5). 355–355. 31 indexed citations
15.
Qanmber, Ghulam, Ji Liu, Daoqian Yu, et al.. (2019). Genome-Wide Identification and Characterization of the PERK Gene Family in Gossypium hirsutum Reveals Gene Duplication and Functional Divergence. International Journal of Molecular Sciences. 20(7). 1750–1750. 48 indexed citations
16.
Ren, Maozhi, Muhammad Mubashar Zafar, Huijuan Mo, Zhaoen Yang, & Fuguang Li. (2019). Fighting against fall armyworm by using multiple genes pyramiding and silencing (MGPS) technology. Science China Life Sciences. 62(12). 1703–1706. 17 indexed citations
17.
Mo, Huijuan, Lingling Wang, Shuya Ma, et al.. (2019). Transcriptome profiling of Gossypium arboreum during fiber initiation and the genome-wide identification of trihelix transcription factors. Gene. 709. 36–47. 13 indexed citations
18.
19.
Mo, Huijuan, Xingfen Wang, Yan Zhang, Jun Yang, & Zhiying Ma. (2015). Cotton ACAULIS5 is involved in stem elongation and the plant defense response to Verticillium dahliae through thermospermine alteration. Plant Cell Reports. 34(11). 1975–1985. 19 indexed citations
20.
Mo, Huijuan. (1989). [Genetic variances of generations for endosperm traits].. PubMed. 16(5). 335–41. 1 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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