Siyan Qi

441 total citations
12 papers, 314 citations indexed

About

Siyan Qi is a scholar working on Plant Science, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Siyan Qi has authored 12 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Molecular Biology and 1 paper in Artificial Intelligence. Recurrent topics in Siyan Qi's work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (9 papers) and Plant Physiology and Cultivation Studies (7 papers). Siyan Qi is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (9 papers) and Plant Physiology and Cultivation Studies (7 papers). Siyan Qi collaborates with scholars based in China, Nepal and South Africa. Siyan Qi's co-authors include Mingyu Han, Dong Zhang, Libo Xing, Juanjuan Ma, Youmei Li, Caiping Zhao, Xilong Chen, Na An, Juan Zhao and Guofang Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Gene and Plant Molecular Biology.

In The Last Decade

Siyan Qi

12 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siyan Qi China 10 286 211 12 11 9 12 314
Weiguang Yang China 9 229 0.8× 155 0.7× 7 0.6× 14 1.3× 3 0.3× 22 278
Isabel Betegón‐Putze Spain 6 386 1.3× 213 1.0× 6 0.5× 6 0.5× 2 0.2× 6 427
Zihan Liu China 11 226 0.8× 231 1.1× 3 0.3× 10 0.9× 3 0.3× 33 321
Jingli Yan China 12 409 1.4× 320 1.5× 12 1.0× 9 0.8× 25 458
Yusong Jiang China 10 192 0.7× 115 0.5× 6 0.5× 8 0.7× 2 0.2× 29 305
Dongbo Lin China 11 432 1.5× 278 1.3× 23 1.9× 7 0.6× 15 462
Juge Liu China 9 314 1.1× 88 0.4× 10 0.8× 10 0.9× 11 365
Lijie Xuan China 7 268 0.9× 268 1.3× 11 0.9× 7 0.6× 13 384
Siti Khadijah A. Karim Malaysia 3 342 1.2× 180 0.9× 21 1.8× 15 1.4× 7 371
Salih Ülger Türkiye 7 293 1.0× 99 0.5× 7 0.6× 16 1.5× 29 328

Countries citing papers authored by Siyan Qi

Since Specialization
Citations

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

Fields of papers citing papers by Siyan Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyan Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Siyan Qi. A scholar is included among the top collaborators of Siyan Qi 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 Siyan Qi. Siyan Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Xing, Libo, Siyan Qi, Hua Zhou, et al.. (2020). Epigenomic Regulatory Mechanism in Vegetative Phase Transition of Malus hupehensis. Journal of Agricultural and Food Chemistry. 68(17). 4812–4829. 11 indexed citations
3.
Qi, Siyan, Na An, Xiuhua Gao, et al.. (2020). Identification of CDF family members in apple and their expression in response to sucrose during floral induction. Journal of Plant Interactions. 15(1). 241–256. 6 indexed citations
4.
Zhao, Juan, Lei Li, Siyan Qi, et al.. (2020). Transcriptomic and Metabolic Analyses Provide New Insights into the Apple Fruit Quality Decline during Long-Term Cold Storage. Journal of Agricultural and Food Chemistry. 68(16). 4699–4716. 48 indexed citations
5.
6.
Tan, Ming, Guofang Li, Siyan Qi, et al.. (2018). Identification and expression analysis of the IPT and CKX gene families during axillary bud outgrowth in apple ( Malus domestica Borkh.). Gene. 651. 106–117. 53 indexed citations
7.
Xing, Libo, Dong Zhang, Siyan Qi, et al.. (2018). Transcription profiles reveal the regulatory mechanisms of spur bud changes and flower induction in response to shoot bending in apple (Malus domestica Borkh.). Plant Molecular Biology. 99(1-2). 45–66. 23 indexed citations
8.
9.
Li, Guofang, Ming Tan, Fang Cheng, et al.. (2018). Molecular role of cytokinin in bud activation and outgrowth in apple branching based on transcriptomic analysis. Plant Molecular Biology. 98(3). 261–274. 26 indexed citations
10.
Qi, Siyan, Juanjuan Ma, Libo Xing, et al.. (2017). Identification of TPS family members in apple (Malus x domestica Borkh.) and the effect of sucrose sprays on TPS expression and floral induction. Plant Physiology and Biochemistry. 120. 10–23. 36 indexed citations
11.
Fan, Sheng, Dong Zhang, Libo Xing, et al.. (2017). Phylogenetic analysis of IDD gene family and characterization of its expression in response to flower induction in Malus. Molecular Genetics and Genomics. 292(4). 755–771. 26 indexed citations
12.
Zheng, Liwei, Juanjuan Ma, Chunhui Song, et al.. (2017). Genome-wide identification and expression profiling analysis of brassinolide signal transduction genes regulating apple tree architecture. Acta Physiologiae Plantarum. 39(8). 19 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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