Changlan Zhu

652 total citations
29 papers, 424 citations indexed

About

Changlan Zhu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Changlan Zhu has authored 29 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 18 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Changlan Zhu's work include Rice Cultivation and Yield Improvement (19 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and GABA and Rice Research (11 papers). Changlan Zhu is often cited by papers focused on Rice Cultivation and Yield Improvement (19 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and GABA and Rice Research (11 papers). Changlan Zhu collaborates with scholars based in China, Australia and Ireland. Changlan Zhu's co-authors include Junru Fu, Xiaosong Peng, Xiaopeng He, Haohua He, Xiaorong Chen, Linjuan Ouyang, Lifang Hu, Xiaotang Sun, Qiuying Yu and Jianmin Bian and has published in prestigious journals such as PLoS ONE, Frontiers in Plant Science and Theoretical and Applied Genetics.

In The Last Decade

Changlan Zhu

28 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changlan Zhu China 13 376 173 107 25 24 29 424
Xiaotang Sun China 9 269 0.7× 56 0.3× 94 0.9× 26 1.0× 29 1.2× 25 337
Tinku Gautam India 13 449 1.2× 75 0.4× 120 1.1× 10 0.4× 7 0.3× 23 481
Xiaojiao Hu China 13 424 1.1× 270 1.6× 164 1.5× 11 0.4× 10 0.4× 21 509
Lan Yang China 15 676 1.8× 68 0.4× 460 4.3× 11 0.4× 12 0.5× 33 804
Sarika Sahu India 11 283 0.8× 54 0.3× 115 1.1× 44 1.8× 20 0.8× 29 348
Qianhua Yuan China 11 253 0.7× 44 0.3× 139 1.3× 14 0.6× 13 0.5× 24 293
Ali Moumeni Iran 10 471 1.3× 131 0.8× 176 1.6× 4 0.2× 4 0.2× 32 521
Lunwen Qian China 19 738 2.0× 277 1.6× 425 4.0× 6 0.2× 9 0.4× 41 880
Jinjuan Bai China 11 786 2.1× 73 0.4× 496 4.6× 15 0.6× 13 0.5× 16 863
Jessica Dalton‐Morgan Australia 11 373 1.0× 135 0.8× 221 2.1× 6 0.2× 12 0.5× 15 431

Countries citing papers authored by Changlan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Changlan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changlan Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Changlan Zhu. A scholar is included among the top collaborators of Changlan Zhu 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 Changlan Zhu. Changlan Zhu 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.
Huang, Juan, Weiwei Chen, Lijun Gao, et al.. (2024). Rapid improvement of grain appearance in three-line hybrid rice via CRISPR/Cas9 editing of grain size genes. Theoretical and Applied Genetics. 137(7). 173–173. 3 indexed citations
2.
Li, Bai, Huizhen Chen, Chunlei Wang, et al.. (2023). Stacking Multiple Genes Improves Resistance to Chilo suppressalis, Magnaporthe oryzae, and Nilaparvata lugens in Transgenic Rice. Genes. 14(5). 1070–1070. 5 indexed citations
3.
Sun, Yue, Chunlei Wang, Liyan Song, et al.. (2022). Evaluation of Chilo suppressalis resistance and analysis of CRY1C expression in transgenic rice. Agronomy Journal. 114(2). 915–926. 4 indexed citations
4.
Wang, Xiaolei, Xiaotang Sun, Jie Xu, et al.. (2021). Fine Mapping of a Novel Major Quantitative Trait Locus, qPAA7, That Controls Panicle Apical Abortion in Rice. Frontiers in Plant Science. 12. 683329–683329. 2 indexed citations
5.
6.
Du, Jie, Qiangqiang Xiong, Changlan Zhu, et al.. (2020). Combined proteomics, metabolomics and physiological analyses of rice growth and grain yield with heavy nitrogen application before and after drought. BMC Plant Biology. 20(1). 556–556. 33 indexed citations
7.
Zhang, Guifeng, Changlan Zhu, Xiaosong Peng, et al.. (2018). Characterization of Amylopectin Fine Structure and its Role on Pasting Properties of Starches in Rice (<i>Oryza sativa</i> L.). Food Science and Technology Research. 24(2). 347–354. 3 indexed citations
8.
Yu, Jianfeng, Ghulam Wassan, Changlan Zhu, et al.. (2018). Genetic analysis for the grain number heterosis of a super-hybrid rice WFYT025 combination using RNA-Seq. Rice. 11(1). 37–37. 41 indexed citations
9.
Chen, Liang, Ghulam Wassan, Changlan Zhu, et al.. (2018). Genome-wide analysis of long non-coding RNAs affecting roots development at an early stage in the rice response to cadmium stress. BMC Genomics. 19(1). 460–460. 66 indexed citations
10.
11.
Wassan, Ghulam, Changlan Zhu, Xiaosong Peng, et al.. (2017). Mapping QTL for Seed Germinability under Low Temperature Using a New High-Density Genetic Map of Rice. Frontiers in Plant Science. 8. 1223–1223. 61 indexed citations
12.
Hu, Lifang, Haohua He, Changlan Zhu, et al.. (2016). Genome-wide identification and phylogenetic analysis of the chalcone synthase gene family in rice. Journal of Plant Research. 130(1). 95–105. 23 indexed citations
13.
Chen, Xiaorong, Changlan Zhu, Xiaosong Peng, et al.. (2015). Effects of nitrogen level and high temperature treatment on yield, SPAD value, and soluble sugar content of early rice Ganxin 203.. ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS. 37(5). 759–764. 1 indexed citations
14.
Yang, Jun, Xiaorong Chen, Changlan Zhu, et al.. (2015). Using RNA-seq to Profile Gene Expression of Spikelet Development in Response to Temperature and Nitrogen during Meiosis in Rice (Oryza sativa L.). PLoS ONE. 10(12). e0145532–e0145532. 15 indexed citations
15.
Bian, Jianmin, Guoqiang Zhu, Changlan Zhu, et al.. (2015). Molecular dissection of developmental behavior of tiller number and the relationship with effective panicle using indica–japonica introgression lines in rice. Molecular Breeding. 35(3). 19 indexed citations
16.
Yang, Jun, Xiaorong Chen, Changlan Zhu, et al.. (2015). RNA-seq reveals differentially expressed genes of rice (Oryza sativa) spikelet in response to temperature interacting with nitrogen at meiosis stage. BMC Genomics. 16(1). 959–959. 26 indexed citations
17.
Bian, Jianmin, Changlan Zhu, Xiaosong Peng, et al.. (2013). Dynamic QTL detection and analysis of tiller number before and after heading in japonica rice. Australian Journal of Crop Science. 7(8). 1189–1197. 10 indexed citations
18.
Bian, Jianmin, Cuijuan Li, Changlan Zhu, et al.. (2013). QTL mapping and correlation analysis for 1000-grain weight and percentage of grains with chalkiness in rice. Journal of Genetics. 92(2). 281–287. 13 indexed citations
19.
Fu, Junru, et al.. (2009). Genetic and correlation analysis of grain characters in three-line hybrid rice.. Agricultural Science and Technology Hunan. 10(2). 77–81.
20.
Zhu, Changlan, et al.. (2005). Mapping QTL for Heat-Tolerance at Grain Filling Stage in Rice. Rice Science. 12(1). 33–38. 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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