Guoyou Ye

4.2k total citations · 1 hit paper
88 papers, 2.9k citations indexed

About

Guoyou Ye is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Guoyou Ye has authored 88 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Plant Science, 52 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Guoyou Ye's work include Genetic Mapping and Diversity in Plants and Animals (51 papers), Rice Cultivation and Yield Improvement (35 papers) and Genetics and Plant Breeding (28 papers). Guoyou Ye is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (51 papers), Rice Cultivation and Yield Improvement (35 papers) and Genetics and Plant Breeding (28 papers). Guoyou Ye collaborates with scholars based in China, Philippines and Australia. Guoyou Ye's co-authors include Jiankang Wang, Huihui Li, Kimberly S. Ponce, Xiangqian Zhao, Lijun Meng, Jianlong Xu, Longbiao Guo, Zhikang Li, Yong Zhang and M. van Ginkel and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Guoyou Ye

87 papers receiving 2.8k citations

Hit Papers

A Modified Algorithm for the Improvement of Composite Int... 2006 2026 2012 2019 2006 200 400 600
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. A Modified Algorithm for the Improvement of Composite Interval Mapping
    2006 666 citations Guoyou Ye et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoyou Ye China 31 2.7k 1.3k 474 244 156 88 2.9k
R. E. Knox Canada 34 3.3k 1.2× 802 0.6× 371 0.8× 764 3.1× 120 0.8× 169 3.6k
Clay Sneller United States 33 2.6k 1.0× 841 0.6× 214 0.5× 445 1.8× 94 0.6× 99 2.8k
Hesham A. Agrama United States 29 2.1k 0.8× 1.2k 0.9× 232 0.5× 307 1.3× 37 0.2× 49 2.3k
Sarla Neelamraju India 27 2.3k 0.8× 851 0.6× 535 1.1× 98 0.4× 82 0.5× 79 2.5k
Kiyosumi Hori Japan 28 2.5k 0.9× 1.3k 1.0× 564 1.2× 149 0.6× 124 0.8× 54 2.7k
Reyazul Rouf Mir India 32 2.8k 1.0× 881 0.7× 438 0.9× 424 1.7× 109 0.7× 126 3.2k
Shuichi Fukuoka Japan 29 2.7k 1.0× 1.4k 1.0× 720 1.5× 135 0.6× 43 0.3× 75 2.9k
Huqu Zhai China 30 3.9k 1.4× 2.0k 1.5× 1.2k 2.6× 143 0.6× 188 1.2× 125 4.3k
Joong Hyoun Chin South Korea 20 1.8k 0.7× 783 0.6× 265 0.6× 95 0.4× 83 0.5× 74 2.0k
Shibin Gao China 28 2.2k 0.8× 1.0k 0.8× 665 1.4× 215 0.9× 88 0.6× 68 2.5k

Countries citing papers authored by Guoyou Ye

Since Specialization
Citations

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

Fields of papers citing papers by Guoyou Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoyou Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Guoyou Ye. A scholar is included among the top collaborators of Guoyou 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 Guoyou Ye. Guoyou 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.
Wang, Yamei, et al.. (2023). Validation of genes affecting rice mesocotyl length through candidate association analysis and identification of the superior haplotypes. Frontiers in Plant Science. 14. 1194119–1194119. 2 indexed citations
2.
Ponce, Kimberly S., et al.. (2021). Advances in Sensing, Response and Regulation Mechanism of Salt Tolerance in Rice. International Journal of Molecular Sciences. 22(5). 2254–2254. 64 indexed citations
3.
Lv, Yang, Lianguang Shang, Guoyou Ye, et al.. (2021). Transcriptomic Analysis of Short-Term Salt-Stress Response in Mega Hybrid Rice Seedlings. Agronomy. 11(7). 1328–1328. 10 indexed citations
4.
Qiu, Jie, Lei Jia, Dongya Wu, et al.. (2020). Diverse genetic mechanisms underlie worldwide convergent rice feralization. Genome biology. 21(1). 70–70. 64 indexed citations
5.
Qu, Pingping, Tianxiao Chen, Kai Chen, et al.. (2020). Construction and integration of genetic linkage maps from three multi-parent advanced generation inter-cross populations in rice. Rice. 13(1). 13–13. 9 indexed citations
6.
Ponce, Kimberly S., Ya Zhang, Longbiao Guo, Yujia Leng, & Guoyou Ye. (2020). Genome-Wide Association Study of Grain Size Traits in Indica Rice Multiparent Advanced Generation Intercross (MAGIC) Population. Frontiers in Plant Science. 11. 395–395. 20 indexed citations
7.
Liang, Shanshan, Cui‐Cui Yin, Xiaodong Xie, et al.. (2019). Overexpression of OsARD1 Improves Submergence, Drought, and Salt Tolerances of Seedling Through the Enhancement of Ethylene Synthesis in Rice. Frontiers in Plant Science. 10. 1088–1088. 56 indexed citations
8.
Wang, Xiaoqian, Yunlong Pang, Jian Zhang, et al.. (2017). Genome-wide and gene-based association mapping for rice eating and cooking characteristics and protein content. Scientific Reports. 7(1). 68 indexed citations
9.
Meng, Lijun, Baoxiang Wang, Xiangqian Zhao, et al.. (2017). Association Mapping of Ferrous, Zinc, and Aluminum Tolerance at the Seedling Stage in Indica Rice using MAGIC Populations. Frontiers in Plant Science. 8. 1822–1822. 38 indexed citations
10.
Qiu, Xianjin, Yunlong Pang, Zhihua Yuan, et al.. (2015). Genome-Wide Association Study of Grain Appearance and Milling Quality in a Worldwide Collection of Indica Rice Germplasm. PLoS ONE. 10(12). e0145577–e0145577. 60 indexed citations
11.
Zhu, Yajun, Kai Chen, Xuefei Mi, et al.. (2015). Identification and Fine Mapping of a Stably Expressed QTL for Cold Tolerance at the Booting Stage Using an Interconnected Breeding Population in Rice. PLoS ONE. 10(12). e0145704–e0145704. 84 indexed citations
12.
13.
Liu, Guifu, Haitao Zhu, Guiquan Zhang, Lanhai Li, & Guoyou Ye. (2012). Dynamic analysis of QTLs on tiller number in rice (Oryza sativa L.) with single segment substitution lines. Theoretical and Applied Genetics. 125(1). 143–153. 47 indexed citations
14.
Ye, Guoyou, et al.. (2010). Marker-assisted recurrent backcrossing in cultivar development.. MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas)). 295–319. 2 indexed citations
15.
Singh, Raj, Gyan P. Mishra, Anil Kant, et al.. (2010). Molecular markers in plants.. 37–80. 2 indexed citations
16.
Ye, Guoyou, et al.. (2010). Statistical analysis of molecular data.. 209–239. 1 indexed citations
17.
Ramalingam, J., et al.. (2010). Mapping and tagging of qualitative traits in crop plants.. 135–159. 1 indexed citations
18.
Mishra, Gyan P., et al.. (2010). QTL mapping in crop plants: principle and methodology.. 161–188. 1 indexed citations
19.
Mishra, Gyan P., Swati Tiwari, R. P. Singh, et al.. (2010). Marker assisted selection for improvement of quality traits in crop plants.. 343–365. 1 indexed citations
20.
Ye, Guoyou, Shanshan Liang, & Jianmin Wan. (2010). QTL mapping of protein content in rice using single chromosome segment substitution lines. Theoretical and Applied Genetics. 121(4). 741–750. 33 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

Breakdown of academic impact, for papers by R. E. Knox Breakdown of academic impact, for papers by Clay Sneller Breakdown of academic impact, for papers by Hesham A. Agrama Breakdown of academic impact, for papers by Sarla Neelamraju Breakdown of academic impact, for papers by Kiyosumi Hori Breakdown of academic impact, for papers by Reyazul Rouf Mir Breakdown of academic impact, for papers by Shuichi Fukuoka Breakdown of academic impact, for papers by Huqu Zhai Breakdown of academic impact, for papers by Joong Hyoun Chin Breakdown of academic impact, for papers by Shibin Gao
Rankless by CCL
2026