Zhihui Shan

1.6k total citations
41 papers, 1.1k citations indexed

About

Zhihui Shan is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Zhihui Shan has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 14 papers in Molecular Biology and 4 papers in Agronomy and Crop Science. Recurrent topics in Zhihui Shan's work include Plant nutrient uptake and metabolism (16 papers), Legume Nitrogen Fixing Symbiosis (15 papers) and Soybean genetics and cultivation (13 papers). Zhihui Shan is often cited by papers focused on Plant nutrient uptake and metabolism (16 papers), Legume Nitrogen Fixing Symbiosis (15 papers) and Soybean genetics and cultivation (13 papers). Zhihui Shan collaborates with scholars based in China, Japan and Vietnam. Zhihui Shan's co-authors include Haifeng Chen, Qingnan Hao, Zhonglu Yang, Dezhen Qiu, Songli Yuan, Chanjuan Zhang, Limiao Chen, Shuilian Chen, Xinan Zhou and Xiaojuan Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Zhihui Shan

39 papers receiving 1.0k citations

Peers

Zhihui Shan

ACS

GENET

Chengbin Chen China

Ying‐Gao Liu China

P. B. Kavi Kishor India

Miaoyun Xu China

Nora A. Foroud Canada

Bhavna Hurgobin Australia

Hongju Jian China

Zhengwu Fang China

Courtney A. Hollender United States

Chengbin Chen China

Zhihui Shan

715 ×0.8

590 ×1.2

34 ×0.4

ACS

134 ×3.1

GENET

21 ×0.5

Citations per year, relative to Zhihui Shan Zhihui Shan (= 1×) peers Chengbin Chen

Countries citing papers authored by Zhihui Shan

Since Specialization

Citations

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

Fields of papers citing papers by Zhihui Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihui Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihui Shan. A scholar is included among the top collaborators of Zhihui Shan 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 Zhihui Shan. Zhihui Shan 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

Lu, Zihua, Kaidong Deng, Zhihui Shan, et al.. (2025). COP9 Signalosome’s Role in Plant Defense Mechanisms. Plants. 14(19). 3017–3017.

Zhang, Hao, Yu Tian, Chunyan Yang, et al.. (2024). A natural allelic variant of GmSW17.1 confers high 100-seed weight in soybean. The Crop Journal. 12(6). 1709–1717.

Yuan, Songli, Yong Feng, Hui Zhang, et al.. (2024). Comparative genomic and transcriptomic analyses provide new insight into symbiotic host specificity. iScience. 27(7). 110207–110207. 2 indexed citations

Hao, Qingnan, Hongli Yang, Shuilian Chen, et al.. (2023). RNA-Seq and Comparative Transcriptomic Analyses of Asian Soybean Rust Resistant and Susceptible Soybean Genotypes Provide Insights into Identifying Disease Resistance Genes. International Journal of Molecular Sciences. 24(17). 13450–13450. 5 indexed citations

Xu, Yiran, Songli Yuan, Yi Huang, et al.. (2023). Genome-Wide Identification of GmSPS Gene Family in Soybean and Expression Analysis in Response to Cold Stress. International Journal of Molecular Sciences. 24(16). 12878–12878. 8 indexed citations

Zhang, Yongxing, Wei Guo, Dong Cao, et al.. (2023). Heterologous expression of the Glycine soja Kunitz-type protease inhibitor GsKTI improves resistance to drought stress and Helicoverpa armigera in transgenic Arabidopsis lines. Plant Physiology and Biochemistry. 202. 107915–107915. 2 indexed citations

Yuan, Songli, Yong Feng, Chanjuan Zhang, et al.. (2021). Identification of the Important Genes of Bradyrhizobium diazoefficiens 113-2 Involved in Soybean Nodule Development and Senescence. Frontiers in Microbiology. 12. 754837–754837. 3 indexed citations

Yuan, Songli, Danxia Ke, Rong Li, et al.. (2020). Genome-wide survey of soybean papain-like cysteine proteases and their expression analysis in root nodule symbiosis. BMC Plant Biology. 20(1). 517–517. 11 indexed citations

Bao, Aili, Haifeng Chen, Limiao Chen, et al.. (2019). CRISPR/Cas9-mediated targeted mutagenesis of GmSPL9 genes alters plant architecture in soybean. BMC Plant Biology. 19(1). 131–131. 124 indexed citations

10.

Chen, Limiao, Yisheng Fang, Xiangyong Li, et al.. (2019). Identification of soybean drought-tolerant genotypes and loci correlated with agronomic traits contributes new candidate genes for breeding. Plant Molecular Biology. 102(1-2). 109–122. 18 indexed citations

11.

Chen, Limiao, Yisheng Fang, Chanjuan Zhang, et al.. (2019). GmSYP24, a putative syntaxin gene, confers osmotic/drought, salt stress tolerances and ABA signal pathway. Scientific Reports. 9(1). 5990–5990. 15 indexed citations

12.

Ding, Chunming, Yen Ching Lim, Camille Arcinas, et al.. (2018). De novo reconstruction of human adipose transcriptome reveals conserved lncRNAs as regulators of brown adipogenesis. Nature Communications. 9(1). 1329–1329. 61 indexed citations

13.

Yuan, Songli, Xiangyong Li, Rong Li, et al.. (2018). Genome-Wide Identification and Classification of Soybean C2H2 Zinc Finger Proteins and Their Expression Analysis in Legume-Rhizobium Symbiosis. Frontiers in Microbiology. 9. 126–126. 50 indexed citations

14.

Yuan, Songli, Rong Li, Shuilian Chen, et al.. (2016). RNA-Seq Analysis of Differential Gene Expression Responding to Different Rhizobium Strains in Soybean (Glycine max) Roots. Frontiers in Plant Science. 7. 721–721. 41 indexed citations

15.

Yuan, Songli, Rong Li, Lei Wang, et al.. (2016). Search for Nodulation and Nodule Development-Related Cystatin Genes in the Genome of Soybean (Glycine max). Frontiers in Plant Science. 7. 1595–1595. 12 indexed citations

16.

Chen, Haifeng, Sheng Zhao, Zhonglu Yang, et al.. (2015). Genetic analysis and molecular mapping of resistance gene to Phakopsora pachyrhizi in soybean germplasm SX6907. Theoretical and Applied Genetics. 128(4). 733–743. 17 indexed citations

17.

Wang, Yun, et al.. (2013). Identification of copper-binding proteins in soybean seeds by immobilized metal affinity chromatography and mass spectrometry. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 148(1). 88–95. 10 indexed citations

18.

Tian, Jingluan, Lin Li, Linghong Lu, et al.. (2013). Screening Chinese soybean genotypes for Agrobacterium-mediated genetic transformation suitability. Journal of Zhejiang University SCIENCE B. 14(4). 289–298. 44 indexed citations

19.

Chen, Haifeng, Qingnan Hao, Aihua Sha, et al.. (2012). Transcript Profile of the Response of Two Soybean Genotypes to Potassium Deficiency. PLoS ONE. 7(7). e39856–e39856. 39 indexed citations

20.

Shan, Zhihui, et al.. (2005). Development of a highly efficient, repetitive system of organogenesis in soybean (Glycine max (L.) Merr).. Plant Cell Reports. 24(9). 507–512. 35 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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