Wang‐Wei Ye

2.1k total citations · 2 hit papers
15 papers, 1.2k citations indexed

About

Wang‐Wei Ye is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Wang‐Wei Ye has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 9 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Wang‐Wei Ye's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Plant Molecular Biology Research (7 papers) and Plant nutrient uptake and metabolism (4 papers). Wang‐Wei Ye is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Plant Molecular Biology Research (7 papers) and Plant nutrient uptake and metabolism (4 papers). Wang‐Wei Ye collaborates with scholars based in China and United States. Wang‐Wei Ye's co-authors include Jun‐Xiang Shan, Hong‐Xuan Lin, Nai‐Qian Dong, Tao Guo, Chuanlin Shi, Ke Chen, Jiping Gao, Zi‐Qi Lu, Yi‐Bing Yang and Yi Kan and has published in prestigious journals such as Nature Communications, Nature Genetics and The Plant Cell.

In The Last Decade

Wang‐Wei Ye

14 papers receiving 1.2k citations

Hit Papers

GRAIN SIZE AND NUMBER1 Ne... 2018 2026 2020 2023 2018 2020 50 100 150 200
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.

  1. GRAIN SIZE AND NUMBER1 Negatively Regulates the OsMKKK10-OsMKK4-OsMPK6 Cascade to Coordinate the Trade-off between Grain Number per Panicle and Grain Size in Rice
    2018 244 citations Tao Guo, Ke Chen et al. The Plant Cell profile →
  2. UDP-glucosyltransferase regulates grain size and abiotic stress tolerance associated with metabolic flux redirection in rice
    2020 240 citations Nai‐Qian Dong, Yuwei Sun et al. Nature Communications profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wang‐Wei Ye 1.1k 497 466 37 32 15 1.2k
Qibing Lin 1.5k 1.4× 493 1.0× 787 1.7× 41 1.1× 23 0.7× 37 1.7k
Baolan Zhang 1.7k 1.6× 956 1.9× 599 1.3× 42 1.1× 59 1.8× 19 1.8k
Guanjun Gao 1.1k 1.0× 525 1.1× 320 0.7× 32 0.9× 125 3.9× 46 1.2k
Dangping Luo 1.1k 1.0× 178 0.4× 580 1.2× 49 1.3× 21 0.7× 9 1.3k
Bhavna Hurgobin 761 0.7× 245 0.5× 507 1.1× 22 0.6× 17 0.5× 21 999
Swatismita Ray 1.5k 1.4× 241 0.5× 1.1k 2.3× 23 0.6× 25 0.8× 8 1.7k
Sandip M. Kale 1.4k 1.3× 236 0.5× 326 0.7× 83 2.2× 33 1.0× 42 1.5k
Chunjue Xu 1.1k 1.0× 672 1.4× 329 0.7× 37 1.0× 30 0.9× 14 1.1k
Itsuro Takamure 1.3k 1.3× 382 0.8× 433 0.9× 42 1.1× 39 1.2× 35 1.5k
Moju Cao 814 0.8× 366 0.7× 376 0.8× 56 1.5× 15 0.5× 45 997

Countries citing papers authored by Wang‐Wei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Wang‐Wei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang‐Wei Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Wang‐Wei Ye. A scholar is included among the top collaborators of Wang‐Wei 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 Wang‐Wei Ye. Wang‐Wei Ye 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.
Lu, Zi‐Qi, Tao Guo, Yingjie Cao, et al.. (2025). Rice SINA E3 ligases dichotomously control ERECTA1 ubiquitination and stability to regulate panicle morphogenesis and grain yield. Molecular Plant. 19(1). 172–190.
2.
Zhao, Huai‐Yu, Jun‐Xiang Shan, Wang‐Wei Ye, et al.. (2024). A QTL GN1.1, encoding FT‐L1, regulates grain number and yield by modulating polar auxin transport in rice. Journal of Integrative Plant Biology. 66(10). 2158–2174. 4 indexed citations
3.
Yu, Hong‐Xiao, Yingjie Cao, Yibing Yang, et al.. (2024). A TT1–SCE1 module integrates ubiquitination and SUMOylation to regulate heat tolerance in rice. Molecular Plant. 17(12). 1899–1918. 10 indexed citations
4.
Guo, Tao, Zi‐Qi Lu, Yehui Xiong, et al.. (2023). Optimization of rice panicle architecture by specifically suppressing ligand–receptor pairs. Nature Communications. 14(1). 1640–1640. 35 indexed citations
5.
Yu, Jiajun, Ben Liao, Jun‐Xiang Shan, et al.. (2022). An α/β hydrolase family member negatively regulates salt tolerance but promotes flowering through three distinct functions in rice. Molecular Plant. 15(12). 1908–1930. 20 indexed citations
6.
Zhang, Yimin, Hong‐Xiao Yu, Wang‐Wei Ye, et al.. (2021). A rice QTL GS3.1 regulates grain size through metabolic-flux distribution between flavonoid and lignin metabolons without affecting stress tolerance. Communications Biology. 4(1). 1171–1171. 27 indexed citations
7.
Shi, Chuanlin, Nai‐Qian Dong, Tao Guo, et al.. (2020). A quantitative trait locus GW6 controls rice grain size and yield through the gibberellin pathway. The Plant Journal. 103(3). 1174–1188. 108 indexed citations
8.
Guo, Tao, Zi‐Qi Lu, Jun‐Xiang Shan, et al.. (2020). ERECTA1 Acts Upstream of the OsMKKK10-OsMKK4-OsMPK6 Cascade to Control Spikelet Number by Regulating Cytokinin Metabolism in Rice. The Plant Cell. 32(9). 2763–2779. 129 indexed citations
9.
Dong, Nai‐Qian, Yuwei Sun, Tao Guo, et al.. (2020). UDP-glucosyltransferase regulates grain size and abiotic stress tolerance associated with metabolic flux redirection in rice. Nature Communications. 11(1). 2629–2629. 240 indexed citations breakdown →
10.
Guo, Tao, Hua‐Chang Chen, Zi‐Qi Lu, et al.. (2019). A SAC Phosphoinositide Phosphatase Controls Rice Development via Hydrolyzing PI4P and PI(4,5)P2. PLANT PHYSIOLOGY. 182(3). 1346–1358. 18 indexed citations
11.
Chen, Ke, Tao Guo, Xinmin Li, et al.. (2019). NAL8 encodes a prohibitin that contributes to leaf and spikelet development by regulating mitochondria and chloroplasts stability in rice. BMC Plant Biology. 19(1). 395–395. 14 indexed citations
12.
Chen, Ke, Tao Guo, Xinmin Li, et al.. (2019). Translational Regulation of Plant Response to High Temperature by a Dual-Function tRNAHis Guanylyltransferase in Rice. Molecular Plant. 12(8). 1123–1142. 55 indexed citations
13.
Guo, Tao, Ke Chen, Nai‐Qian Dong, et al.. (2019). Tillering and small grain 1 dominates the tryptophan aminotransferase family required for local auxin biosynthesis in rice. Journal of Integrative Plant Biology. 62(5). 581–600. 50 indexed citations
14.
Guo, Tao, Ke Chen, Nai‐Qian Dong, et al.. (2018). GRAIN SIZE AND NUMBER1 Negatively Regulates the OsMKKK10-OsMKK4-OsMPK6 Cascade to Coordinate the Trade-off between Grain Number per Panicle and Grain Size in Rice. The Plant Cell. 30(4). 871–888. 244 indexed citations breakdown →
15.
Li, Xinmin, Dai‐Yin Chao, Yuan Wu, et al.. (2015). Natural alleles of a proteasome α2 subunit gene contribute to thermotolerance and adaptation of African rice. Nature Genetics. 47(7). 827–833. 267 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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