Hongjun Yuan

1.4k total citations
25 papers, 547 citations indexed

About

Hongjun Yuan is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Hongjun Yuan has authored 25 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 12 papers in Molecular Biology and 3 papers in Nutrition and Dietetics. Recurrent topics in Hongjun Yuan's work include Plant Stress Responses and Tolerance (13 papers), Wheat and Barley Genetics and Pathology (7 papers) and Plant Gene Expression Analysis (7 papers). Hongjun Yuan is often cited by papers focused on Plant Stress Responses and Tolerance (13 papers), Wheat and Barley Genetics and Pathology (7 papers) and Plant Gene Expression Analysis (7 papers). Hongjun Yuan collaborates with scholars based in China, Estonia and Germany. Hongjun Yuan's co-authors include Yulin Wang, Xingquan Zeng, Nyima Tashi, Qijun Xu, Zha Sang, Lijun Bai, Zexiu Wei, Yawei Tang, Haizhen Yang and Jian Shi and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Hongjun Yuan

24 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongjun Yuan China 14 387 249 49 44 40 25 547
Qijun Xu China 13 545 1.4× 417 1.7× 40 0.8× 33 0.8× 39 1.0× 26 755
Xingquan Zeng China 16 452 1.2× 245 1.0× 106 2.2× 42 1.0× 72 1.8× 38 636
Wanwen Yu China 15 266 0.7× 268 1.1× 32 0.7× 45 1.0× 53 1.3× 36 596
Wenjun Qian China 16 735 1.9× 480 1.9× 33 0.7× 50 1.1× 62 1.6× 50 1.0k
Donato Giannino Italy 18 561 1.4× 462 1.9× 39 0.8× 48 1.1× 47 1.2× 39 765
Heather Ray Canada 11 378 1.0× 359 1.4× 30 0.6× 77 1.8× 45 1.1× 11 580
Jun Niu China 16 274 0.7× 323 1.3× 22 0.4× 29 0.7× 40 1.0× 31 543
Xiaoling Zhang China 10 316 0.8× 132 0.5× 57 1.2× 17 0.4× 74 1.9× 25 424
Timothy S. Johnson United States 12 216 0.6× 202 0.8× 30 0.6× 77 1.8× 61 1.5× 14 390

Countries citing papers authored by Hongjun Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjun Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Hongjun Yuan. A scholar is included among the top collaborators of Hongjun Yuan 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 Hongjun Yuan. Hongjun Yuan 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, Yulin, Heng Li, Qijun Xu, et al.. (2023). Identification of a novel transcription factor under long-term drought resistance in highland barley: a DNA affinity purification sequencing-based transcriptomic analysis. Chemical and Biological Technologies in Agriculture. 10(1). 12 indexed citations
2.
Yu, Kuohai, Lingling Wei, Hongjun Yuan, et al.. (2022). Genetic architecture of inducible and constitutive metabolic profile related to drought resistance in qingke (Tibetan hulless barley). Frontiers in Plant Science. 13. 1076000–1076000. 8 indexed citations
3.
Xu, Congping, Chuansong Zhan, Haizhen Yang, et al.. (2022). Integrative metabolomic and transcriptomic analyses reveal the mechanisms of Tibetan hulless barley grain coloration. Frontiers in Plant Science. 13. 1038625–1038625. 11 indexed citations
4.
Xu, Congping, Lingling Wei, Yulin Wang, et al.. (2021). Drought Resistance in Qingke Involves a Reprogramming of the Phenylpropanoid Pathway and UDP-Glucosyltransferase Regulation of Abiotic Stress Tolerance Targeting Flavonoid Biosynthesis. Journal of Agricultural and Food Chemistry. 69(13). 3992–4005. 57 indexed citations
5.
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Yang, Haizhen, et al.. (2020). Comparative metabolomics analysis of the response to cold stress of resistant and susceptible Tibetan hulless barley (Hordeum distichon). Phytochemistry. 174. 112346–112346. 47 indexed citations
8.
Zeng, Xingquan, Tong Xu, Zhihao Ling, et al.. (2020). An improved high-quality genome assembly and annotation of Tibetan hulless barley. Scientific Data. 7(1). 139–139. 33 indexed citations
9.
Zhang, Guoqiang, Wenhua Xue, Jie Dai, et al.. (2019). Quantitative proteomics analysis reveals proteins and pathways associated with anthocyanin accumulation in barley. Food Chemistry. 298. 124973–124973. 24 indexed citations
10.
Yuan, Hongjun, Xingquan Zeng, Jian Shi, et al.. (2018). Time-Course Comparative Metabolite Profiling under Osmotic Stress in Tolerant and Sensitive Tibetan Hulless Barley. BioMed Research International. 2018. 1–12. 66 indexed citations
11.
Yuan, Hongjun, Xingquan Zeng, Qiaofeng Yang, et al.. (2018). Gene coexpression network analysis combined with metabonomics reveals the resistance responses to powdery mildew in Tibetan hulless barley. Scientific Reports. 8(1). 14928–14928. 40 indexed citations
12.
Yuan, Hongjun, Xingquan Zeng, Zhihao Ling, et al.. (2017). Transcriptome profiles reveal cold acclimation and freezing tolerance of susceptible and tolerant hulless barley genotypes. Acta Physiologiae Plantarum. 39(12). 15 indexed citations
13.
Xu, Qijun, Xingquan Zeng, Bin Lin, et al.. (2017). A microsatellite diversity analysis and the development of core-set germplasm in a large hulless barley (Hordeum vulgare L.) collection. BMC Genetics. 18(1). 102–102. 17 indexed citations
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Zeng, Xingquan, Lijun Bai, Zexiu Wei, et al.. (2016). Transcriptome analysis revealed the drought-responsive genes in Tibetan hulless barley. BMC Genomics. 17(1). 386–386. 65 indexed citations
16.
Wei, Zexiu, Xingquan Zeng, Cheng Qin, et al.. (2016). Comparative Transcriptome Analysis Revealed Genes Commonly Responsive to Varied Nitrate Stress in Leaves of Tibetan Hulless Barley. Frontiers in Plant Science. 7. 1067–1067. 16 indexed citations
17.
Yuan, Hongjun, et al.. (2016). NJ cluster analysis of the SnRK2, PYR/PYL/RCAR, and ABF genes in Tibetan hulless barley. Genetics and Molecular Research. 15(4).
18.
Tang, Yawei, Xingquan Zeng, Yulin Wang, et al.. (2016). Transcriptomics analysis of hulless barley during grain development with a focus on starch biosynthesis. Functional & Integrative Genomics. 17(1). 107–117. 16 indexed citations
19.
Yuan, Hongjun, et al.. (2015). Short Communication Cloning and characterization of up-regulated HbSINA4 gene induced by drought stress in Tibetan hulless barley. Genetics and Molecular Research. 14(4). 15312–15319. 3 indexed citations
20.
Zeng, Xingquan, Xiaomei Luo, Yulin Wang, et al.. (2014). Transcriptome Sequencing in a Tibetan Barley Landrace with High Resistance to Powdery Mildew. The Scientific World JOURNAL. 2014. 1–9. 23 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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