Zhibiao Ye

13.4k total citations
138 papers, 6.5k citations indexed

About

Zhibiao Ye is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Zhibiao Ye has authored 138 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Plant Science, 94 papers in Molecular Biology and 7 papers in Biochemistry. Recurrent topics in Zhibiao Ye's work include Plant Molecular Biology Research (67 papers), Plant Stress Responses and Tolerance (47 papers) and Plant Reproductive Biology (39 papers). Zhibiao Ye is often cited by papers focused on Plant Molecular Biology Research (67 papers), Plant Stress Responses and Tolerance (47 papers) and Plant Reproductive Biology (39 papers). Zhibiao Ye collaborates with scholars based in China, United States and United Kingdom. Zhibiao Ye's co-authors include Jianhua Li, Yuyang Zhang, Taotao Wang, Junhong Zhang, Changxian Yang, Bo Ouyang, Yongen Lu, Junhong Zhang, Jie Ye and Chanjuan Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Zhibiao Ye

133 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhibiao Ye China 47 5.5k 4.2k 482 241 168 138 6.5k
Yiji Xia Hong Kong 38 4.8k 0.9× 4.1k 1.0× 345 0.7× 190 0.8× 133 0.8× 82 6.6k
Jinggui Fang China 40 4.6k 0.8× 2.9k 0.7× 452 0.9× 187 0.8× 193 1.1× 262 5.5k
Shucai Wang China 43 4.6k 0.8× 3.8k 0.9× 287 0.6× 224 0.9× 165 1.0× 134 5.8k
Sang-Dong Yoo South Korea 26 6.6k 1.2× 4.7k 1.1× 196 0.4× 154 0.6× 134 0.8× 35 7.8k
Christophe Rothan France 43 4.2k 0.8× 2.6k 0.6× 422 0.9× 304 1.3× 123 0.7× 96 4.9k
Zhi‐Sheng Xu China 35 3.4k 0.6× 3.0k 0.7× 647 1.3× 108 0.4× 111 0.7× 135 4.8k
Qiang Xu China 47 4.1k 0.7× 4.3k 1.0× 1.5k 3.1× 311 1.3× 325 1.9× 197 6.3k
Patrick Ollitrault France 42 4.5k 0.8× 2.8k 0.7× 511 1.1× 350 1.5× 388 2.3× 192 5.6k
Yong Pyo Lim South Korea 40 3.9k 0.7× 2.9k 0.7× 305 0.6× 481 2.0× 231 1.4× 181 5.1k
Brian E. Ellis Canada 48 5.6k 1.0× 4.6k 1.1× 156 0.3× 292 1.2× 226 1.3× 111 7.2k

Countries citing papers authored by Zhibiao Ye

Since Specialization
Citations

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

Fields of papers citing papers by Zhibiao Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhibiao Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Zhibiao Ye. A scholar is included among the top collaborators of Zhibiao 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 Zhibiao Ye. Zhibiao Ye 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.
Chen, Yao, Xin Wang, Vincent Colantonio, et al.. (2025). Ethylene response factor SlERF.D6 promotes ripening in part through transcription factors SlDEAR2 and SlTCP12. Proceedings of the National Academy of Sciences. 122(7). e2405894122–e2405894122. 1 indexed citations
2.
Jiang, Qin, Wenlong Li, Jie Ye, et al.. (2025). A machine-learning–powered spectral-dominant multimodal soft wearable system for long-term and early-stage diagnosis of plant stresses. Science Advances. 11(26). eadw7279–eadw7279. 5 indexed citations
3.
Wang, Jiafa, Xinyu Liu, Zheng Zhou, et al.. (2024). Nuclear factor Y-A3b binds to the SINGLE FLOWER TRUSS promoter and regulates flowering time in tomato. Horticulture Research. 11(5). uhae088–uhae088. 7 indexed citations
4.
Wang, Ying, Chunmei Shi, Lihui Zhu, et al.. (2023). A 21-bp InDel in the promoter ofSTP1selected during tomato improvement accounts for soluble solid content in fruits. Horticulture Research. 10(3). uhad009–uhad009. 13 indexed citations
5.
Song, Jianwen, Yaru Wang, Xingyu Zhang, et al.. (2023). CRISPR/Cas9‐mediated mutations of FANTASTIC FOUR gene family for creating early flowering mutants in tomato. Plant Biotechnology Journal. 22(3). 774–784. 7 indexed citations
6.
Guo, Ai, R. Stephanie Huang, Jiafa Wang, et al.. (2023). EARLY FLOWERING is a dominant gain‐of‐function allele of FANTASTIC FOUR 1/2c that promotes early flowering in tomato. Plant Biotechnology Journal. 22(3). 698–711. 11 indexed citations
7.
Niu, Xiangli, Han Lü, Wenjie Wang, et al.. (2022). Manipulation of the transcription factor SlNAC1 for improved tolerance to abiotic stress in tomato. Plant Cell & Environment. 45(12). 3537–3550. 10 indexed citations
8.
Song, Jianwen, Changxing Li, Wenqian Wang, et al.. (2022). Variation in the fruit development gene POINTED TIP regulates protuberance of tomato fruit tip. Nature Communications. 13(1). 5940–5940. 22 indexed citations
9.
Zheng, Fangyan, Long Cui, Changxing Li, et al.. (2021). Hair interacts with SlZFP8-like to regulate the initiation and elongation of trichomes by modulating SlZFP6 expression in tomato. Journal of Experimental Botany. 73(1). 228–244. 31 indexed citations
10.
Song, Jianwen, Huiyang Yu, Xin Wang, et al.. (2021). A mutation in a C2H2-type zinc finger transcription factor contributed to the transition toward self-pollination in cultivated tomato. The Plant Cell. 33(10). 3293–3308. 31 indexed citations
11.
Ye, Jie, Xin Wang, Wenqian Wang, et al.. (2021). Genome-wide association study reveals the genetic architecture of 27 agronomic traits in tomato. PLANT PHYSIOLOGY. 186(4). 2078–2092. 26 indexed citations
12.
Song, Jianwen, Shiwei Chen, Yongen Lu, et al.. (2021). Interactions between ShPP2-1, an F-box family gene, and ACR11A regulate cold tolerance of tomato. Horticulture Research. 8(1). 148–148. 14 indexed citations
13.
Ye, Jie, Xiangfei Meng, Changxing Li, et al.. (2020). Tomato SD1, encoding a kinase-interacting protein, is a major locus controlling stem development. Journal of Experimental Botany. 71(12). 3575–3587. 15 indexed citations
14.
15.
Ye, Jie, Xin Wang, Tixu Hu, et al.. (2017). An InDel in the Promoter of Al-ACTIVATED MALATE TRANSPORTER9 Selected during Tomato Domestication Determines Fruit Malate Contents and Aluminum Tolerance. The Plant Cell. 29(9). 2249–2268. 233 indexed citations
16.
Li, Jianhua, et al.. (2014). Overexpression of ShDHN, a dehydrin gene from Solanum habrochaites enhances tolerance to multiple abiotic stresses in tomato. Plant Science. 231. 198–211. 144 indexed citations
17.
Cai, Xiaofeng, Yuyang Zhang, Chanjuan Zhang, et al.. (2013). Genome‐wide Analysis of Plant‐specific Dof Transcription Factor Family in Tomato. Journal of Integrative Plant Biology. 55(6). 552–566. 140 indexed citations
18.
Yang, Changxian & Zhibiao Ye. (2012). Trichomes as models for studying plant cell differentiation. Cellular and Molecular Life Sciences. 70(11). 1937–1948. 161 indexed citations
19.
Lu, Yongen, Bo Ouyang, Junhong Zhang, et al.. (2012). Genomic organization, phylogenetic comparison and expression profiles of annexin gene family in tomato (Solanum lycopersicum). Gene. 499(1). 14–24. 47 indexed citations
20.
Zhang, Junhong, Rugang Chen, Jinhua Xiao, et al.. (2007). Isolation and characterization ofSlIAA3, anAux/IAAgene from tomato. DNA sequence. 18(6). 407–414. 8 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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