Keyi Ye

745 total citations · 1 hit paper
8 papers, 527 citations indexed

About

Keyi Ye is a scholar working on Molecular Biology, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, Keyi Ye has authored 8 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 1 paper in Agronomy and Crop Science. Recurrent topics in Keyi Ye's work include Plant Molecular Biology Research (3 papers), Plant nutrient uptake and metabolism (3 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). Keyi Ye is often cited by papers focused on Plant Molecular Biology Research (3 papers), Plant nutrient uptake and metabolism (3 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). Keyi Ye collaborates with scholars based in China, Hong Kong and United States. Keyi Ye's co-authors include Shuhua Yang, Hui Li, Yiting Shi, Xiaoyan Zhang, Jinkui Cheng, Zhizhong Gong, Yanglin Ding, Chun‐Peng Song, Sanwen Huang and Yaqing Lyu and has published in prestigious journals such as Nature Communications, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Keyi Ye

7 papers receiving 519 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

BZR1 Positively Regulates Freezing Tolerance via CBF-Dependent and CBF-Independent Pathways in Arabidopsis

2017 305 citations Hui Li, Keyi Ye et al. Molecular Plant profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keyi Ye China	5	477	314	19	13	12	8	527
Everlyne M’mbone Muleke China	13	309 0.6×	260 0.8×	17 0.9×	25 1.9×	10 0.8×	17	384
Yerim Kwon South Korea	9	387 0.8×	302 1.0×	15 0.8×	17 1.3×	7 0.6×	13	451
Jing‐Na Ru China	5	332 0.7×	240 0.8×	25 1.3×	7 0.5×	10 0.8×	6	371
Kaiwen Lv China	7	236 0.5×	185 0.6×	12 0.6×	10 0.8×	17 1.4×	9	278
Jindong Yan China	9	265 0.6×	197 0.6×	11 0.6×	8 0.6×	10 0.8×	18	313
Kunkun Zhao China	8	262 0.5×	215 0.7×	13 0.7×	14 1.1×	6 0.5×	20	301
Yuehui Tang China	10	441 0.9×	277 0.9×	30 1.6×	11 0.8×	6 0.5×	15	487
Shumin Gao China	7	345 0.7×	251 0.8×	18 0.9×	9 0.7×	5 0.4×	15	396
K. C. Babitha India	7	315 0.7×	224 0.7×	23 1.2×	12 0.9×	6 0.5×	8	369
Cuizhu Feng China	9	444 0.9×	254 0.8×	16 0.8×	5 0.4×	6 0.5×	13	492

Countries citing papers authored by Keyi Ye

Since Specialization

Citations

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

Fields of papers citing papers by Keyi Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyi Ye

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

All Works

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8 of 8 papers shown

1.

Hu, Hao, Yiyuan Li, Kejun Dong, et al.. (2025). Spatially blocked split CRISPR-Cas12a system for ultra-sensitive and versatile small molecule activation and detection. Nature Communications. 16(1). 5035–5035. 9 indexed citations

2.

Wu, Yaoyao, Keyi Ye, Jian Yin, et al.. (2025). Multi-omics reveals the genetic regulation and functions of long non-coding RNAs in tomato. PLANT PHYSIOLOGY. 198(4).

3.

Ye, Keyi, et al.. (2025). Harnessing omics to decode the mechanisms of symbiotic nitrogen fixation. aBIOTECH. 6(4). 602–617. 2 indexed citations

4.

Ye, Keyi, Fengjiao Bu, Yu-Qian Zhang, et al.. (2024). Mapping the molecular landscape of Lotus japonicus nodule organogenesis through spatiotemporal transcriptomics. Nature Communications. 15(1). 6387–6387. 10 indexed citations

5.

Cao, Xue, Ran Du, Yuanchao Xu, et al.. (2023). Phytoene synthases 1 modulates tomato fruit quality through influencing the metabolic flux between carotenoid and flavonoid pathways. Horticultural Plant Journal. 10(6). 1383–1397. 16 indexed citations

6.

Wang, Shenhao, et al.. (2023). Transcriptomic analysis on cucumber tendril reveals GLRs play important roles in thigmotropism and thigmomorphogenesis. Horticultural Plant Journal. 10(5). 1177–1186. 3 indexed citations

7.

Ye, Keyi, Hui Li, Yanglin Ding, et al.. (2019). BRASSINOSTEROID-INSENSITIVE2 Negatively Regulates the Stability of Transcription Factor ICE1 in Response to Cold Stress in Arabidopsis. The Plant Cell. 31(11). tpc.00058.2019–tpc.00058.2019. 182 indexed citations

8.

Li, Hui, Keyi Ye, Yiting Shi, et al.. (2017). BZR1 Positively Regulates Freezing Tolerance via CBF-Dependent and CBF-Independent Pathways in Arabidopsis. Molecular Plant. 10(4). 545–559. 305 indexed citations breakdown →

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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