Shunhe Cheng

772 total citations
33 papers, 529 citations indexed

About

Shunhe Cheng is a scholar working on Plant Science, Genetics and Cell Biology. According to data from OpenAlex, Shunhe Cheng has authored 33 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 9 papers in Genetics and 6 papers in Cell Biology. Recurrent topics in Shunhe Cheng's work include Wheat and Barley Genetics and Pathology (22 papers), Mycotoxins in Agriculture and Food (8 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Shunhe Cheng is often cited by papers focused on Wheat and Barley Genetics and Pathology (22 papers), Mycotoxins in Agriculture and Food (8 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Shunhe Cheng collaborates with scholars based in China, United States and Australia. Shunhe Cheng's co-authors include Tongde Bie, Xiue Wang, Wenjing Hu, Jin Xiao, P. K. Singh, Ning Zhang, Xia Yang, Lei Zhao, Xinyao He and Yan Ren and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Shunhe Cheng

31 papers receiving 521 citations

Peers

Shunhe Cheng

GENET

ACS

Viviana Becerra Chile

Javier Betrán United States

Sundeep Kumar India

Judy Cheong Australia

Terence Molnar Mexico

Eleonora Barilli Spain

Ritsuko Mizobuchi Japan

Yolanda Loarce Spain

Shyam Kumar Sharma India

Bilal A. Padder India

Viviana Becerra Chile

Shunhe Cheng

325 ×0.7

68 ×0.5

GENET

45 ×0.5

106 ×1.6

26 ×0.4

ACS

Citations per year, relative to Shunhe Cheng Shunhe Cheng (= 1×) peers Viviana Becerra

Countries citing papers authored by Shunhe Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Shunhe Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunhe Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Shunhe Cheng. A scholar is included among the top collaborators of Shunhe Cheng 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 Shunhe Cheng. Shunhe Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Junna, Hongxin Wang, Ping Zhang, et al.. (2025). Color-dependent defense mechanisms of Quinoa (Chenopodium quinoa Willd.) against Spodoptera exigua: metabolomic and transcriptomic insights. BMC Plant Biology. 25(1). 813–813.

Zhang, Ping, et al.. (2023). Integrated Metabolome and Transcriptome Analyses Reveal Amino Acid Biosynthesis Mechanisms during the Physiological Maturity of Grains in Yunnan Hulled Wheat (Triticum aestivum ssp. yunnanense King). International Journal of Molecular Sciences. 24(17). 13475–13475. 3 indexed citations

Liu, Junna, Jian Liu, Ping Zhang, et al.. (2023). Elucidating the Differentiation Synthesis Mechanisms of Differently Colored Resistance Quinoa Seedings Using Metabolite Profiling and Transcriptome Analysis. Metabolites. 13(10). 1065–1065. 1 indexed citations

Chen, Shulin, Ziliang Zhang, Yangyang Sun, et al.. (2021). Identification of quantitative trait loci for Fusarium head blight (FHB) resistance in the cross between wheat landrace N553 and elite cultivar Yangmai 13. Molecular Breeding. 41(3). 24–24. 8 indexed citations

Yang, Xia, P. K. Singh, Xinyao He, et al.. (2019). Investigation and genome-wide association study for Fusarium crown rot resistance in Chinese common wheat. BMC Plant Biology. 19(1). 153–153. 92 indexed citations

Yi, Xin, Jingye Cheng, Zhengning Jiang, et al.. (2018). Genetic Analysis of Fusarium Head Blight Resistance in CIMMYT Bread Wheat Line C615 Using Traditional and Conditional QTL Mapping. Frontiers in Plant Science. 9. 573–573. 44 indexed citations

Shi, Weiping, Chenyang Hao, Yong Zhang, et al.. (2017). A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.). Frontiers in Plant Science. 8. 1412–1412. 53 indexed citations

Yi, Xin, Zhengning Jiang, Zhao Yun, et al.. (2017). Development of a kompetitive allele‐specific PCR marker for selection of the mutated Wx‐D1d allele in wheat breeding. Plant Breeding. 136(4). 460–466. 5 indexed citations

Guo, Jie, Chenyang Hao, Yong Zhang, et al.. (2015). Association and Validation of Yield-Favored Alleles in Chinese Cultivars of Common Wheat (Triticumaestivum L.). PLoS ONE. 10(6). e0130029–e0130029. 14 indexed citations

10.

Guo, Jie, Yong Zhang, Weiping Shi, et al.. (2015). Association Analysis of Grain-setting Rates in Apical and Basal Spikelets in Bread Wheat (Triticum aestivum L.). Frontiers in Plant Science. 6. 1029–1029. 16 indexed citations

11.

Chen, Ming, Liying Sun, Jiong Chen, et al.. (2013). Durable field resistance to wheat yellow mosaic virus in transgenic wheat containing the antisense virus polymerase gene. Plant Biotechnology Journal. 12(4). 447–456. 25 indexed citations

12.

Zhao, Renhui, Haiyan Wang, Jin Xiao, et al.. (2013). Induction of 4VS chromosome recombinants using the CS ph1b mutant and mapping of the wheat yellow mosaic virus resistance gene from Haynaldia villosa. Theoretical and Applied Genetics. 126(12). 2921–2930. 46 indexed citations

13.

Wang, Cheng, et al.. (2012). Development of Near-isogenic Lines with Different Wheat Wx Genes and Their Effects on Amylose Content and Noodle Quality. ACTA AGRONOMICA SINICA. 38(3). 454–461. 2 indexed citations

14.

Zhu, Xiaobiao, Haiyan Wang, Jiao Guo, et al.. (2011). Mapping and validation of quantitative trait loci associated with wheat yellow mosaic bymovirus resistance in bread wheat. Theoretical and Applied Genetics. 124(1). 177–188. 26 indexed citations

15.

Gao, Derong, et al.. (2010). Genetic Analysis and Quality Effects of 1Dx5 Subunit Silent in Transgenic Wheat. Mailei zuowu xuebao. 30(6). 991–996. 3 indexed citations

16.

Cheng, Shunhe, et al.. (2010). Breeding the Lines with Resistance to Fusarium Head Blight of Wheat Cultivar Yangmai 13 by Molecular Marker Assisted Selection. Mailei zuowu xuebao. 30(6). 1058–1064. 2 indexed citations

17.

Cheng, Shunhe. (2008). Effect of waxy wheat flour blends on staling of bread. Nanjing Nongye Daxue xuebao. 1 indexed citations

18.

Zhang, Yong, Boqiao Zhang, Derong Gao, & Shunhe Cheng. (2005). Analysis on Genetic Model of Wheat Scab Resistant Germplasm H35. 25(4). 39–43. 1 indexed citations

19.

Liu, Yingchun, et al.. (2005). PCR-based molecular markers for Wx-A1 and Wx-D1 genes of wheat. 25(1). 1–5. 3 indexed citations

20.

Cheng, Shunhe, et al.. (2003). Genetic Improvement of Wheat Powdery Mildew Resistance and Construction of Multi-Lines. Mailei zuowu xuebao. 23(2). 34–38. 2 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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