Xianran Li

10.4k total citations · 1 hit paper
69 papers, 2.7k citations indexed

About

Xianran Li is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Xianran Li has authored 69 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 47 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Xianran Li's work include Genetic Mapping and Diversity in Plants and Animals (45 papers), Genetics and Plant Breeding (27 papers) and Genetic and phenotypic traits in livestock (19 papers). Xianran Li is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (45 papers), Genetics and Plant Breeding (27 papers) and Genetic and phenotypic traits in livestock (19 papers). Xianran Li collaborates with scholars based in United States, China and Canada. Xianran Li's co-authors include Jianming Yu, Tingting Guo, Tesfaye Tesso, Chuanqing Sun, Zuofeng Zhu, Patrick S. Schnable, Xiangkun Wang, Daoxin Xie, Yongcai Fu and Zhongwei Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xianran Li

65 papers receiving 2.7k citations

Hit Papers

Parallel domestication of the Shattering1 genes in cereals 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianran Li United States 25 2.1k 1.6k 690 349 95 69 2.7k
Xuecai Zhang Mexico 28 3.4k 1.6× 2.5k 1.6× 488 0.7× 359 1.0× 60 0.6× 82 3.9k
Lee T. Hickey Australia 33 3.3k 1.5× 1.0k 0.7× 629 0.9× 525 1.5× 103 1.1× 105 3.5k
Gaël Pressoir United States 11 3.5k 1.6× 2.9k 1.9× 699 1.0× 436 1.2× 143 1.5× 16 4.6k
Pengcheng Li China 25 1.9k 0.9× 708 0.5× 754 1.1× 247 0.7× 81 0.9× 104 2.5k
Jiuran Zhao China 27 1.9k 0.9× 738 0.5× 832 1.2× 254 0.7× 69 0.7× 114 2.5k
Marcos Malosetti Netherlands 31 3.0k 1.4× 1.7k 1.1× 251 0.4× 449 1.3× 120 1.3× 56 3.3k
Michael Olsen Kenya 31 3.4k 1.6× 2.3k 1.4× 456 0.7× 498 1.4× 60 0.6× 65 4.0k
Yann‐Rong Lin Taiwan 19 1.7k 0.8× 962 0.6× 510 0.7× 372 1.1× 57 0.6× 40 2.1k
Márcio F. R. Resende United States 27 2.1k 1.0× 1.5k 0.9× 784 1.1× 256 0.7× 200 2.1× 89 3.4k
Elhan S. Ersoz United States 17 2.8k 1.3× 2.4k 1.5× 829 1.2× 282 0.8× 78 0.8× 17 3.9k

Countries citing papers authored by Xianran Li

Since Specialization
Citations

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

Fields of papers citing papers by Xianran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianran Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xianran Li. A scholar is included among the top collaborators of Xianran Li 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 Xianran Li. Xianran Li 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.
Li, Dongdong, Aaron Kusmec, Adam Vanous, et al.. (2025). Genomic selection: Essence, applications, and prospects. The Plant Genome. 18(2). e70053–e70053. 5 indexed citations
2.
3.
Ren, Pengwei, Yuanyuan Jing, Yang Liu, et al.. (2025). Runs of homozygosity and selection signals analysis reveals domestication traits and divergence in local domestic duck breeds. Poultry Science. 104(9). 105404–105404.
4.
Tibbs‐Cortes, Laura E., Tingting Guo, Carson M. Andorf, Xianran Li, & Jianming Yu. (2024). Comprehensive identification of genomic and environmental determinants of phenotypic plasticity in maize. Genome Research. 34(8). 1253–1263. 5 indexed citations
5.
Mu, Qi, Hua Liu, Si Nian Char, et al.. (2024). A MYB transcription factor underlying plant height in sorghum qHT7.1 and maize Brachytic 1 loci. The Plant Journal. 120(5). 2172–2192. 3 indexed citations
6.
Guo, Tingting, Qi Mu, Ravi V. Mural, et al.. (2024). Genetic and Environmental Patterns Underlying Phenotypic Plasticity in Flowering Time and Plant Height in Sorghum. Plant Cell & Environment. 48(4). 2727–2738. 7 indexed citations
7.
Guo, Tingting, et al.. (2023). Environmental context of phenotypic plasticity in flowering time in sorghum and rice. Journal of Experimental Botany. 75(3). 1004–1015. 12 indexed citations
8.
Wang, Ming Li, et al.. (2023). Generation of Sesame Mutant Population by Mutagenesis and Identification of High Oleate Mutants by GC Analysis. Plants. 12(6). 1294–1294. 1 indexed citations
9.
Li, Xiaowei, R. Tanaka, Joshua C. Wood, et al.. (2022). Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain. Genetics. 221(4). 24 indexed citations
10.
Tanaka, R., Xiaowei Li, Laura E. Tibbs‐Cortes, et al.. (2022). Leveraging prior biological knowledge improves prediction of tocochromanols in maize grain. The Plant Genome. 16(4). e20276–e20276. 2 indexed citations
11.
Tibbs‐Cortes, Laura E., Tingting Guo, Xianran Li, et al.. (2022). Genomic prediction of tocochromanols in exotic‐derived maize. The Plant Genome. 16(4). e20286–e20286. 4 indexed citations
12.
Wang, Jinyu, Xianran Li, Tingting Guo, et al.. (2021). Genetic dissection of seasonal vegetation index dynamics in maize through aerial based high‐throughput phenotyping. The Plant Genome. 14(3). e20155–e20155. 20 indexed citations
13.
Wu, Yuye, Tingting Guo, Qi Mu, et al.. (2019). Allelochemicals targeted to balance competing selections in African agroecosystems. Nature Plants. 5(12). 1229–1236. 48 indexed citations
14.
Zhang, Zhihai, Xuan Zhang, Zhelong Lin, et al.. (2019). A Large Transposon Insertion in the stiff1 Promoter Increases Stalk Strength in Maize. The Plant Cell. 32(1). 152–165. 53 indexed citations
15.
Li, Xianran, et al.. (2019). Inhibitory effects of four typical bloom-forming algae species on metamorphosis of the abalone Haliotis discus hannai. Aquaculture Environment Interactions. 11. 563–567. 2 indexed citations
16.
Guo, Tingting, Xiaoqing Yu, Xianran Li, et al.. (2019). Optimal Designs for Genomic Selection in Hybrid Crops. Molecular Plant. 12(3). 390–401. 62 indexed citations
17.
Javelle, Marie, Lin Li, Xianran Li, et al.. (2019). A high-resolution gene expression atlas links dedicated meristem genes to key architectural traits. Genome Research. 29(12). 1962–1973. 42 indexed citations
18.
Huang, Haining, et al.. (2014). Positive and negative responses of coral calcification to elevated pCO2: case studies of two coral species and the implications of their responses. Marine Ecology Progress Series. 502. 145–156. 14 indexed citations
19.
Li, Xianran, Chengsong Zhu, Cheng‐Ting Yeh, et al.. (2012). Genic and nongenic contributions to natural variation of quantitative traits in maize. Genome Research. 22(12). 2436–2444. 99 indexed citations
20.
Nelson, James C., Shichen Wang, Yuye Wu, et al.. (2011). Single-nucleotide polymorphism discovery by high-throughput sequencing in sorghum. BMC Genomics. 12(1). 352–352. 54 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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