Qingyi Yu

7.9k total citations
84 papers, 2.5k citations indexed

About

Qingyi Yu is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Qingyi Yu has authored 84 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Plant Science, 28 papers in Molecular Biology and 21 papers in Genetics. Recurrent topics in Qingyi Yu's work include Chromosomal and Genetic Variations (33 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers) and Sugarcane Cultivation and Processing (14 papers). Qingyi Yu is often cited by papers focused on Chromosomal and Genetic Variations (33 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers) and Sugarcane Cultivation and Processing (14 papers). Qingyi Yu collaborates with scholars based in United States, China and Italy. Qingyi Yu's co-authors include Ray Ming, Paul H. Moore, Andrew H. Paterson, Zhiyong Liu, Robert E. Paull, Ratnesh Singh, Hao Ma, Jianping Wang, Shaobin Hou and C. Ackerman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Qingyi Yu

79 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingyi Yu United States 29 2.0k 1.1k 691 265 261 84 2.5k
Somvong Tragoonrung Thailand 26 1.7k 0.8× 991 0.9× 651 0.9× 42 0.2× 126 0.5× 59 2.4k
K. Arumuganathan United States 28 4.3k 2.1× 2.3k 2.1× 909 1.3× 51 0.2× 190 0.7× 47 5.1k
Allen Van Deynze United States 36 3.4k 1.7× 1.6k 1.5× 843 1.2× 14 0.1× 189 0.7× 84 4.3k
Silvana Creste Brazil 20 1.4k 0.7× 565 0.5× 240 0.3× 16 0.1× 336 1.3× 57 1.8k
L. Grant Bailey Canada 16 1.8k 0.9× 1.2k 1.1× 397 0.6× 40 0.2× 51 0.2× 36 2.4k
Kassa Semagn Kenya 35 4.0k 2.0× 622 0.6× 2.8k 4.0× 27 0.1× 59 0.2× 87 4.6k
Manuel Jamilena Spain 36 2.9k 1.4× 1.5k 1.4× 806 1.2× 51 0.2× 25 0.1× 115 3.3k
Telma Nair Santana Pereira Brazil 22 1.3k 0.6× 400 0.4× 135 0.2× 179 0.7× 22 0.1× 100 1.6k
Enrique Ibarra‐Laclette Mexico 28 2.1k 1.0× 918 0.8× 162 0.2× 27 0.1× 55 0.2× 85 2.7k
David Kudrna United States 30 2.9k 1.5× 1.3k 1.2× 950 1.4× 13 0.0× 63 0.2× 59 3.5k

Countries citing papers authored by Qingyi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Qingyi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyi Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyi Yu. A scholar is included among the top collaborators of Qingyi Yu 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 Qingyi Yu. Qingyi Yu 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.
Lyu, Haomin, Pritha Kundu, H. Kay Chung, et al.. (2025). A nuclear tRNA-derived fragment triggers immunity in Arabidopsis. Communications Biology. 8(1). 533–533.
2.
Lyu, Haomin, Shujun Ou, Won Cheol Yim, & Qingyi Yu. (2025). Deciphering octoploid strawberry evolution with serial LTR similarity matrices for subgenome partition. Horticulture Research. 12(8). uhaf132–uhaf132. 1 indexed citations
3.
Lyu, Haomin, Jinjin Song, Yanbin Yin, et al.. (2025). A chromosome-level genome assembly of Coffea arabica L. var. ‘Kona Typica’. Scientific Data. 12(1). 1314–1314. 1 indexed citations
4.
Lyu, Haomin, Tracie K. Matsumoto, & Qingyi Yu. (2025). Unraveling genetic diversity and population structure of pineapple germplasm using genome-wide SNP markers. Molecular Genetics and Genomics. 300(1). 71–71.
5.
Liu, Yanhong, et al.. (2024). Predictors of International College Students' Formal Help‐Seeking Grounded in Andersen's Behavioral Model. Journal of Counseling & Development. 103(2). 242–253. 1 indexed citations
6.
Carey, Sarah B., Qingyi Yu, & Alex Harkess. (2021). The Diversity of Plant Sex Chromosomes Highlighted through Advances in Genome Sequencing. Genes. 12(3). 381–381. 17 indexed citations
8.
Wang, Yongjun, Xiuting Hua, Jingsheng Xu, et al.. (2019). Comparative genomics revealed the gene evolution and functional divergence of magnesium transporter families in Saccharum. BMC Genomics. 20(1). 83–83. 34 indexed citations
9.
Singh, Ratnesh, Tyler Jones, Ching Man Wai, et al.. (2018). Transcriptomic analysis of transgressive segregants revealed the central role of photosynthetic capacity and efficiency in biomass accumulation in sugarcane. Scientific Reports. 8(1). 4415–4415. 14 indexed citations
10.
Chandra, Ambika, Susana R. Milla‐Lewis, & Qingyi Yu. (2017). An Overview of Molecular Advances in Zoysiagrass. Crop Science. 57(S1). 9 indexed citations
11.
Zhang, Qing, Weichang Hu, Fan Zhu, et al.. (2016). Structure, phylogeny, allelic haplotypes and expression of sucrose transporter gene families in Saccharum. BMC Genomics. 17(1). 88–88. 48 indexed citations
12.
Singh, Ratnesh, Ray Ming, & Qingyi Yu. (2016). Comparative Analysis of GC Content Variations in Plant Genomes. Tropical Plant Biology. 9(3). 136–149. 61 indexed citations
13.
Han, Jennifer, Jan E. Murray, Qingyi Yu, Paul H. Moore, & Ray Ming. (2014). The Effects of Gibberellic Acid on Sex Expression and Secondary Sexual Characteristics in Papaya. HortScience. 49(3). 378–383. 6 indexed citations
14.
Aryal, Rishi, Guru Jagadeeswaran, Yun Zheng, et al.. (2014). Sex specific expression and distribution of small RNAs in papaya. BMC Genomics. 15(1). 20–20. 28 indexed citations
15.
Yu, Qingyi, Romain Guyot, Alexandre de Kochko, et al.. (2011). Micro‐collinearity and genome evolution in the vicinity of an ethylene receptor gene of cultivated diploid and allotetraploid coffee species (Coffea). The Plant Journal. 67(2). 305–317. 39 indexed citations
16.
Wang, Jianping, Cuixia Chen, Qingyi Yu, et al.. (2008). Genome-Wide Comparative Analyses of Microsatellites in Papaya. Tropical Plant Biology. 1(3-4). 278–292. 22 indexed citations
17.
Yu, Qingyi, Shaobin Hou, Roman Hobza, et al.. (2007). Chromosomal location and gene paucity of the male specific region on papaya Y chromosome. Molecular Genetics and Genomics. 278(2). 177–185. 62 indexed citations
18.
Ming, Ray, Qingyi Yu, & Paul H. Moore. (2006). Sex determination in papaya. Seminars in Cell and Developmental Biology. 18(3). 401–408. 99 indexed citations
19.
Yu, Qingyi, et al.. (2005). Cloning and characterization of a FLORICAULA/LEAFY ortholog, PFL, in polygamous papaya. Cell Research. 15(8). 576–584. 26 indexed citations
20.
Ma, Hao, Paul H. Moore, Zhiyong Liu, et al.. (2004). High-Density Linkage Mapping Revealed Suppression of Recombination at the Sex Determination Locus in Papaya. Genetics. 166(1). 419–436. 105 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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