Kaige Zhao

476 total citations
15 papers, 336 citations indexed

About

Kaige Zhao is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kaige Zhao has authored 15 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kaige Zhao's work include Plant biochemistry and biosynthesis (5 papers), Plant Gene Expression Analysis (3 papers) and Bayesian Methods and Mixture Models (2 papers). Kaige Zhao is often cited by papers focused on Plant biochemistry and biosynthesis (5 papers), Plant Gene Expression Analysis (3 papers) and Bayesian Methods and Mixture Models (2 papers). Kaige Zhao collaborates with scholars based in China, United States and Netherlands. Kaige Zhao's co-authors include Long‐Qing Chen, Lin Xiang, Xiu‐Qun Liu, Mingqin Zhou, Donglin Zhang, Rong Zhao, Christopher Saski, Lai Li, Shuangxia Jin and Zhongping Xu and has published in prestigious journals such as Cell, Genome biology and Gene.

In The Last Decade

Kaige Zhao

13 papers receiving 328 citations

Peers

Kaige Zhao
Kaige Zhao
Citations per year, relative to Kaige Zhao Kaige Zhao (= 1×) peers Shunzhao Sui

Countries citing papers authored by Kaige Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kaige Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaige Zhao

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

All Works

15 of 15 papers shown
1.
Li, Yajun, Runhui Li, Kaige Zhao, et al.. (2025). A de novo-originated gene drives rose scent diversification. Cell. 188(22). 6121–6137.e24. 1 indexed citations
2.
Huang, Pingping, Mohamed El‐Soda, Kaige Zhao, et al.. (2024). Genome‐wide association analysis reveals genes controlling an antagonistic effect of biotic and osmotic stress on Arabidopsis thaliana growth. Molecular Plant Pathology. 25(3). e13436–e13436. 3 indexed citations
3.
Zhao, Kaige, et al.. (2023). Hypothesis testing on compound symmetric structure of high-dimensional covariance matrix. Computational Statistics & Data Analysis. 185. 107779–107779. 1 indexed citations
4.
Fu, Qi, Lin Xiang, Kaige Zhao, & Long‐Qing Chen. (2022). Identification and validation of suitable reference genes for quantitative real-time PCR studies in Adiantum reniforme var. sinense. Journal of Plant Biochemistry and Biotechnology. 31(3). 678–683.
5.
Wang, Xiaoyi, et al.. (2022). Block-diagonal test for high-dimensional covariance matrices. Test. 32(1). 447–466.
6.
Zhao, Rong, Nan Yang, Long‐Qing Chen, et al.. (2020). Expression of the subgroup IIIf bHLH transcription factor CpbHLH1 from Chimonanthus praecox (L.) in transgenic model plants inhibits anthocyanin accumulation. Plant Cell Reports. 39(7). 891–907. 50 indexed citations
7.
Li, Lai, Zhongping Xu, Lin Xiang, et al.. (2020). The chromosome-level wintersweet (Chimonanthus praecox) genome provides insights into floral scent biosynthesis and flowering in winter. Genome biology. 21(1). 200–200. 103 indexed citations
9.
Yang, Nan, Kaige Zhao, Xiang Li, et al.. (2018). Comprehensive analysis of wintersweet flower reveals key structural genes involved in flavonoid biosynthetic pathway. Gene. 676. 279–289. 20 indexed citations
10.
Xiang, Lin, Yue Chen, Liping Chen, et al.. (2017). B and E MADS‐box genes determine the perianth formation in Cymbidium goeringii Rchb.f. Physiologia Plantarum. 162(3). 353–369. 20 indexed citations
11.
Zhao, Kaige, et al.. (2012). Using cDNA-SRAP method to isolate gene fragments expressing at different developmental stages of flower of Chimonanthus praecox. 31(6). 693–698. 1 indexed citations
12.
Xiang, Lin, Kaige Zhao, & Long‐Qing Chen. (2010). Molecular cloning and expression of Chimonanthus praecox farnesyl pyrophosphate synthase gene and its possible involvement in the biosynthesis of floral volatile sesquiterpenoids. Plant Physiology and Biochemistry. 48(10-11). 845–850. 42 indexed citations
13.
Zheng, Wei, Xiaodan Xu, Kaige Zhao, & Long‐Qing Chen. (2009). Lysimachia christinae ‘Zixin’: A New Groundcover Plant. HortScience. 44(2). 474–475. 1 indexed citations
14.
Zhao, Kaige, et al.. (2007). Genetic Diversity and Discrimination of Chimonanthus praecox (L.) Link Germplasm Using ISSR and RAPD Markers. HortScience. 42(5). 1144–1148. 48 indexed citations
15.
Zhou, Mingqin, Kaige Zhao, & Long‐Qing Chen. (2007). Genetic diversity of Calycanthaceae accessions estimated using AFLP markers. Scientia Horticulturae. 112(3). 331–338. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026