Bingguang Xiao

910 total citations
37 papers, 707 citations indexed

About

Bingguang Xiao is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Bingguang Xiao has authored 37 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 13 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Bingguang Xiao's work include Plant Disease Resistance and Genetics (13 papers), Plant-Microbe Interactions and Immunity (12 papers) and Plant Pathogens and Resistance (9 papers). Bingguang Xiao is often cited by papers focused on Plant Disease Resistance and Genetics (13 papers), Plant-Microbe Interactions and Immunity (12 papers) and Plant Pathogens and Resistance (9 papers). Bingguang Xiao collaborates with scholars based in China, United States and Australia. Bingguang Xiao's co-authors include Longjiang Fan, Zhijun Tong, Xuejun Chen, Yongping Li, Qian‐Hao Zhu, Jiahua Xie, Zefeng Li, He Xie, Da‐Hai Yang and Ge Bai and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Bingguang Xiao

35 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingguang Xiao China 18 610 330 69 46 43 37 707
Prashant Yadav India 12 732 1.2× 263 0.8× 62 0.9× 97 2.1× 34 0.8× 26 846
Yinan Yuan United States 10 497 0.8× 451 1.4× 62 0.9× 26 0.6× 32 0.7× 25 750
Takahiro Kawanabe Japan 16 682 1.1× 474 1.4× 143 2.1× 51 1.1× 52 1.2× 28 806
Rémi Bounon France 9 488 0.8× 313 0.9× 111 1.6× 52 1.1× 23 0.5× 9 591
Jing Fu China 16 978 1.6× 489 1.5× 68 1.0× 106 2.3× 38 0.9× 37 1.1k
Guohao He United States 15 895 1.5× 319 1.0× 104 1.5× 10 0.2× 27 0.6× 27 1.0k
Sandra M. Mathioni United States 14 623 1.0× 410 1.2× 38 0.6× 73 1.6× 17 0.4× 32 706
Arsheed H. Sheikh Saudi Arabia 15 607 1.0× 367 1.1× 22 0.3× 43 0.9× 24 0.6× 25 737
Yongju Xu China 13 712 1.2× 298 0.9× 29 0.4× 44 1.0× 12 0.3× 19 816
Qun‐Jie Zhang China 12 228 0.4× 203 0.6× 83 1.2× 24 0.5× 26 0.6× 18 394

Countries citing papers authored by Bingguang Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Bingguang Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingguang Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Bingguang Xiao. A scholar is included among the top collaborators of Bingguang Xiao 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 Bingguang Xiao. Bingguang Xiao 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.
Tong, Zhijun, Feng Lin, Muhammad Shahzad, et al.. (2025). Integration of QTL mapping and GWAS reveals the complicated genetic architecture of chemical composition traits in tobacco leaves. Frontiers in Plant Science. 16. 1616591–1616591. 1 indexed citations
2.
Tong, Zhijun, Kun Yang, Xuejun Chen, et al.. (2025). Multiomic analysis of the synthetic pathways of secondary metabolites in tobacco leaves at different developmental stages. Frontiers in Plant Science. 16. 1615756–1615756.
3.
Tong, Zhijun, Feng Lin, Xuejun Chen, et al.. (2024). Dissection of genetic architecture of nine hazardous component traits of mainstream smoke in tobacco (Nicotiana tabacum L.). Frontiers in Plant Science. 15. 1358953–1358953. 1 indexed citations
4.
Tong, Zhijun, Zhiyong Fan, Tianyu Du, et al.. (2024). The dynamic transcriptome reveals response patterns to black shank disease in tobacco (Nicotiana tabacum L.). Plant Stress. 14. 100676–100676. 1 indexed citations
5.
Bai, Ge, Da‐Hai Yang, Heng Yao, et al.. (2020). Genome-wide identification and expression analysis of NtbHLH gene family in tobacco (Nicotiana tabacum) and the role of NtbHLH86 in drought adaptation. Plant Diversity. 43(6). 510–522. 10 indexed citations
6.
Chen, Xi, Shuo Sun, Enhui Shen, et al.. (2019). A transcriptomic profile of topping responsive non-coding RNAs in tobacco roots (Nicotiana tabacum). BMC Genomics. 20(1). 856–856. 28 indexed citations
7.
Bai, Ge, Da‐Hai Yang, Peijian Cao, et al.. (2019). Genome-Wide Identification, Gene Structure and Expression Analysis of the MADS-Box Gene Family Indicate Their Function in the Development of Tobacco (Nicotiana tabacum L.). International Journal of Molecular Sciences. 20(20). 5043–5043. 31 indexed citations
8.
Tong, Zhijun, et al.. (2019). Mapping of quantitative trait loci conferring resistance to brown spot in cigar tobacco cultivar Beinhart1000-1. ACTA AGRONOMICA SINICA. 45(3). 477–482. 3 indexed citations
9.
10.
Huang, Changjun, Yupeng Cun, Zhijun Tong, et al.. (2017). Transcriptomic profile of tobacco in response to Tomato zonate spot orthotospovirus infection. Virology Journal. 14(1). 153–153. 18 indexed citations
11.
Tong, Zhijun, et al.. (2017). Transcriptomic profile of tobacco in response to Phytophthora nicotianae infection. Scientific Reports. 7(1). 401–401. 27 indexed citations
12.
Li, Fangfang, Weidi Wang, Nan Zhao, et al.. (2015). Regulation of Nicotine Biosynthesis by an Endogenous Target Mimicry of MicroRNA in Tobacco. PLANT PHYSIOLOGY. 169(2). 1062–1071. 70 indexed citations
13.
Xiao, Bingguang, Xiuling Yang, Chuyu Ye, et al.. (2014). A diverse set of miRNAs responsive to begomovirus-associated betasatellite in Nicotiana benthamiana. BMC Plant Biology. 14(1). 60–60. 18 indexed citations
14.
Xiao, Bingguang, et al.. (2013). Diversity arrays technology (DArT) for studying the genetic polymorphism of flue-cured tobacco (Nicotiana tabacum). Journal of Zhejiang University SCIENCE B. 14(7). 570–577. 5 indexed citations
15.
Tong, Zhijun, Fangchan Jiao, Fengqing Wang, et al.. (2012). Mapping of Quantitative Trait Loci Underlying Six Agronomic Traits in Flue-Cured Tobacco (Nicotiana tabacum L.). ACTA AGRONOMICA SINICA. 38(8). 1407–1415. 7 indexed citations
16.
Tong, Zhijun, Fengqing Wang, Meiyun Li, et al.. (2012). Mapping of quantitative trait loci conferring resistance to brown spot in flue‐cured tobacco (Nicotiana tabacum L.). Plant Breeding. 131(2). 335–339. 24 indexed citations
17.
Gui, Yijie, Bingguang Xiao, Yongping Li, et al.. (2012). Development of DArT markers for a linkage map of flue-cured tobacco. Chinese Science Bulletin. 58(6). 641–648. 20 indexed citations
18.
Tang, She, Yu Wang, Zefeng Li, et al.. (2012). Identification of wounding and topping responsive small RNAs in tobacco (Nicotiana tabacum). BMC Plant Biology. 12(1). 28–28. 64 indexed citations
19.
Tong, Zhijun, Zemao Yang, Xuejun Chen, et al.. (2012). Large‐scale development of microsatellite markers in Nicotiana tabacum and construction of a genetic map of flue‐cured tobacco. Plant Breeding. 131(5). 674–680. 25 indexed citations
20.
Gao, Yulong, et al.. (2009). Cloning, structural features, and expression analysis of resistance gene analogs in Tobacco. Molecular Biology Reports. 37(1). 345–354. 22 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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