Qiwei Zeng

1.5k total citations
21 papers, 808 citations indexed

About

Qiwei Zeng is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Qiwei Zeng has authored 21 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Plant Science and 4 papers in Insect Science. Recurrent topics in Qiwei Zeng's work include Plant Gene Expression Analysis (6 papers), Plant Molecular Biology Research (5 papers) and Research in Cotton Cultivation (4 papers). Qiwei Zeng is often cited by papers focused on Plant Gene Expression Analysis (6 papers), Plant Molecular Biology Research (5 papers) and Research in Cotton Cultivation (4 papers). Qiwei Zeng collaborates with scholars based in China, United States and Japan. Qiwei Zeng's co-authors include Ningjia He, Yiwei Luo, Yan Pei, Shuiqing Song, Mi Zhang, Yuehua Xiao, Ming Luo, Zhonghuai Xiang, Lei Hou and Zhen Yang and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Qiwei Zeng

20 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiwei Zeng China 14 588 475 90 57 29 21 808
Meiying Ruan China 15 660 1.1× 492 1.0× 54 0.6× 50 0.9× 26 0.9× 43 888
Shinya Kanzaki Japan 17 510 0.9× 386 0.8× 64 0.7× 31 0.5× 66 2.3× 37 692
Huizhu Mao Singapore 13 563 1.0× 627 1.3× 42 0.5× 37 0.6× 28 1.0× 17 910
Dong Guo China 18 524 0.9× 799 1.7× 82 0.9× 32 0.6× 28 1.0× 50 977
Xiwu Qi China 16 335 0.6× 388 0.8× 60 0.7× 53 0.9× 49 1.7× 41 601
Shenchun Qu China 18 663 1.1× 410 0.9× 46 0.5× 21 0.4× 37 1.3× 44 806
Bi Ma China 15 375 0.6× 333 0.7× 30 0.3× 47 0.8× 23 0.8× 35 555
Fanwei Dai China 13 698 1.2× 444 0.9× 37 0.4× 48 0.8× 38 1.3× 30 842
Jin‐Ho Kang South Korea 12 477 0.8× 327 0.7× 36 0.4× 70 1.2× 67 2.3× 38 606
Weijuan Fan China 15 792 1.3× 570 1.2× 93 1.0× 48 0.8× 20 0.7× 21 1.1k

Countries citing papers authored by Qiwei Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Qiwei Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiwei Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Qiwei Zeng. A scholar is included among the top collaborators of Qiwei Zeng 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 Qiwei Zeng. Qiwei Zeng 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, Zhen, Yiwei Luo, Jiajia Zhang, et al.. (2023). Dehydrogenase MnGutB1 catalyzes 1-deoxynojirimycin biosynthesis in mulberry. PLANT PHYSIOLOGY. 192(2). 1307–1320. 14 indexed citations
2.
Zeng, Qiwei, Miao Chen, Xiaoxiang Xu, et al.. (2022). Comparative and phylogenetic analyses of the chloroplast genome reveal the taxonomy of the Morus genus. Frontiers in Plant Science. 13. 1047592–1047592. 9 indexed citations
3.
Zeng, Qiwei, et al.. (2022). Research on the Marketing Communication Strategy of Tesla Motors in China under the Background of New Media. Advances in economics, business and management research. 211. 2 indexed citations
4.
Ma, Bi, et al.. (2022). Chromosome restructuring and number change during the evolution of Morus notabilis and Morus alba. Horticulture Research. 9. 22 indexed citations
5.
Ma, Bi, et al.. (2021). Dynamic changes in transposable element and gene methylation in mulberry (Morus notabilis) in response to Botrytis cinerea. Horticulture Research. 8(1). 154–154. 23 indexed citations
6.
Li, Han, Dong Li, Zhen Yang, et al.. (2020). Flavones Produced by Mulberry Flavone Synthase Type I Constitute a Defense Line against the Ultraviolet-B Stress. Plants. 9(2). 215–215. 33 indexed citations
7.
Li, Han, Zhen Yang, Qiwei Zeng, et al.. (2020). Abnormal expression of bHLH3 disrupts a flavonoid homeostasis network, causing differences in pigment composition among mulberry fruits. Horticulture Research. 7(1). 83–83. 127 indexed citations
8.
Gao, Yangbin, Xinhua Dai, Yuki Aoi, et al.. (2020). Two homologous INDOLE-3-ACETAMIDE (IAM) HYDROLASE genes are required for the auxin effects of IAM in Arabidopsis. Journal of genetics and genomics. 47(3). 157–165. 25 indexed citations
9.
Li, Xiuxiu, et al.. (2017). Effect of Popcorn Disease Infected Leaves on Silkworm Performance and Differential Proteome Analysis of Mulberry Popcorn Disease. Pakistan Journal of Zoology. 50(1). 1 indexed citations
10.
Luo, Yiwei, Bi Ma, Qiwei Zeng, Zhonghuai Xiang, & Ningjia He. (2016). Identification and characterization of Lateral Organ Boundaries Domain genes in mulberry, Morus notabilis. Meta Gene. 8. 44–50. 14 indexed citations
11.
He, Ningjia, et al.. (2015). Identification and expression analyses of chitinase genes in mulberry (Morus L.) plants. Plant Omics. 8(2). 183–189. 4 indexed citations
12.
Zeng, Qiwei, Hongyu Chen, Chao Zhang, et al.. (2015). Definition of Eight Mulberry Species in the Genus Morus by Internal Transcribed Spacer-Based Phylogeny. PLoS ONE. 10(8). e0135411–e0135411. 53 indexed citations
13.
Zhao, Juan, Wenqin Bai, Qiwei Zeng, et al.. (2015). Moderately enhancing cytokinin level by down-regulation of GhCKX expression in cotton concurrently increases fiber and seed yield. Molecular Breeding. 35(2). 60–60. 54 indexed citations
14.
Qi, Xiwu, Shuai Qin, Hu Chen, et al.. (2014). Cloning and expression analyses of the anthocyanin biosynthetic genes in mulberry plants. Molecular Genetics and Genomics. 289(5). 783–793. 44 indexed citations
15.
Shang, Jingzhe, Bi Ma, Xiwu Qi, et al.. (2014). Identification of the mulberry genes involved in ethylene biosynthesis and signaling pathways and the expression of MaERF-B2-1 and MaERF-B2-2 in the response to flooding stress. Functional & Integrative Genomics. 14(4). 767–777. 11 indexed citations
16.
Liu, Xueqin, Dingpei Long, Qing Guo, et al.. (2014). Molecular cloning and expression analysis of mulberry MAPK gene family. Plant Physiology and Biochemistry. 77. 108–116. 48 indexed citations
17.
Wang, Qing, Bi Ma, Xiwu Qi, et al.. (2014). Identification and characterization of genes involved in the jasmonate biosynthetic and signaling pathways in mulberry (Morus notabilis). Journal of Integrative Plant Biology. 56(7). 663–672. 6 indexed citations
18.
Ma, Bi, Yiwei Luo, Ling Jia, et al.. (2013). Genome‐wide identification and expression analyses of cytochrome P450 genes in mulberry (Morus notabilis). Journal of Integrative Plant Biology. 56(9). 887–901. 49 indexed citations
19.
Zhang, Mi, Xuelian Zheng, Shuiqing Song, et al.. (2011). Spatiotemporal manipulation of auxin biosynthesis in cotton ovule epidermal cells enhances fiber yield and quality. Nature Biotechnology. 29(5). 453–458. 237 indexed citations
20.
Zhang, Mi, Qiwei Zeng, Lei Hou, De-Mou Li, & Yan Pei. (2011). A method for counting cotton mature fibers per seed. Protocol Exchange. 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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