Shuangjun Gong

944 total citations · 1 hit paper
33 papers, 626 citations indexed

About

Shuangjun Gong is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Shuangjun Gong has authored 33 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 10 papers in Cell Biology and 9 papers in Molecular Biology. Recurrent topics in Shuangjun Gong's work include Plant-Microbe Interactions and Immunity (14 papers), Wheat and Barley Genetics and Pathology (11 papers) and Plant Pathogens and Fungal Diseases (10 papers). Shuangjun Gong is often cited by papers focused on Plant-Microbe Interactions and Immunity (14 papers), Wheat and Barley Genetics and Pathology (11 papers) and Plant Pathogens and Fungal Diseases (10 papers). Shuangjun Gong collaborates with scholars based in China, United States and Tunisia. Shuangjun Gong's co-authors include Lijun Yang, Dongfang Ma, Yiting Li, Junliang Yin, Dazhao Yu, Xiaowen Han, Shuo Han, Zhengwu Fang, Minfeng Xue and Wenqi Shi and has published in prestigious journals such as Nature Communications, PLoS ONE and Food Chemistry.

In The Last Decade

Shuangjun Gong

32 papers receiving 618 citations

Hit Papers

Silica nanoparticles promote wheat growth by mediating ho... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuangjun Gong China 15 531 113 80 51 26 33 626
Mojtaba Mohammadi Iran 12 640 1.2× 199 1.8× 148 1.9× 37 0.7× 18 0.7× 27 733
Jamil Chowdhury Australia 8 560 1.1× 202 1.8× 63 0.8× 25 0.5× 9 0.3× 11 644
Nur Uddin Mahmud Bangladesh 14 486 0.9× 177 1.6× 181 2.3× 30 0.6× 43 1.7× 34 627
Lijuan Zou China 14 839 1.6× 378 3.3× 56 0.7× 31 0.6× 12 0.5× 42 939
Zhengwu Fang China 17 755 1.4× 438 3.9× 32 0.4× 60 1.2× 11 0.4× 58 918
Junning Ma China 15 226 0.4× 183 1.6× 25 0.3× 33 0.6× 21 0.8× 25 441
In-Jung Lee South Korea 12 492 0.9× 166 1.5× 129 1.6× 16 0.3× 77 3.0× 20 609
Agnieszka Pszczółkowska Poland 13 427 0.8× 117 1.0× 154 1.9× 36 0.7× 26 1.0× 63 544
Anil S. Kotasthane India 8 341 0.6× 122 1.1× 100 1.3× 20 0.4× 40 1.5× 27 421
Cristina Andrés‐Barrao Switzerland 9 322 0.6× 203 1.8× 34 0.4× 82 1.6× 8 0.3× 10 524

Countries citing papers authored by Shuangjun Gong

Since Specialization
Citations

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

Fields of papers citing papers by Shuangjun Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangjun Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Shuangjun Gong. A scholar is included among the top collaborators of Shuangjun Gong 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 Shuangjun Gong. Shuangjun Gong 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, Mengru, et al.. (2025). Deletion of FgAtg27 decreases the pathogenicity of Fusarium graminearum through influence autophagic process. International Journal of Biological Macromolecules. 297. 139818–139818. 1 indexed citations
2.
Fan, Renchun, Lei Feng, Yaling Liu, et al.. (2025). An NLR receptor confers broad‐spectrum resistance to diversified powdery mildew sublineages in wheat and barley. Plant Biotechnology Journal. 23(7). 2482–2484. 1 indexed citations
3.
Fu, Bisheng, Zhen Lin, Lijuan Yan, et al.. (2025). Fine-mapping of PmHHM, a broad-spectrum allele from a wheat landrace conferring both seedling and adult resistance to powdery mildew. Frontiers in Plant Science. 15. 1489013–1489013. 1 indexed citations
5.
Chen, Heyu, Shuangjun Gong, Ting Zhang, et al.. (2024). Wheat Pm55 alleles exhibit distinct interactions with an inhibitor to cause different powdery mildew resistance. Nature Communications. 15(1). 503–503. 19 indexed citations
6.
Zhu, Mo, et al.. (2024). Biocontrol Potential of Cladosporium sphaerospermum Against the Wheat Powdery Mildew Fungus Blumeria graminis f. sp. tritici. Plant Disease. 108(10). 2983–2988. 4 indexed citations
7.
Fu, Bisheng, Jin Cai, Caiyun Liu, et al.. (2024). Identification and Precise Mapping of PmHSM, a Novel Recessive Powdery Mildew Resistance Allele from Wheat Landrace Heshangmai. Plant Disease. 108(12). 3623–3630. 1 indexed citations
8.
He, Huagang, Zhaozhao Chen, Renchun Fan, et al.. (2024). A kinase fusion protein from Aegilops longissima confers resistance to wheat powdery mildew. Nature Communications. 15(1). 6512–6512. 14 indexed citations
9.
Han, Xiaowen, Shuo Han, Yiting Li, et al.. (2023). Double roles of light-harvesting chlorophyll a/b binding protein TaLhc2 in wheat stress tolerance and photosynthesis. International Journal of Biological Macromolecules. 253(Pt 5). 127215–127215. 27 indexed citations
10.
Han, Xiaowen, Shuo Han, Yiting Li, et al.. (2023). Genome-Wide Identification, Characterization, and Expression Profiling of TaDUF668 Gene Family in Triticum aestivum. Agronomy. 13(8). 2178–2178. 11 indexed citations
11.
Zhang, Wanwan, et al.. (2023). First Report of Powdery Mildew Caused by Golovinomyces bolayi on Veronica persica in Central China. Plant Disease. 107(9). 2867–2867. 1 indexed citations
12.
Yuan, Yi, Xiaowen Han, Shuo Han, et al.. (2023). Genome-Wide Identification, Characterization and Expression Analysis of the TaDUF724 Gene Family in Wheat (Triticum aestivum). International Journal of Molecular Sciences. 24(18). 14248–14248. 10 indexed citations
13.
Li, Yiting, Xi Liu, Shuo Han, et al.. (2023). Silica nanoparticles promote wheat growth by mediating hormones and sugar metabolism. Journal of Nanobiotechnology. 21(1). 2–2. 83 indexed citations breakdown →
15.
Hu, Yifeng, Yiting Li, Yiting Li, et al.. (2021). Genome-wide identification of ZF-HD gene family in Triticum aestivum: Molecular evolution mechanism and function analysis. PLoS ONE. 16(9). e0256579–e0256579. 21 indexed citations
16.
Gong, An‐Dong, Nannan Wu, Yimei Zhang, et al.. (2019). Inhibitory Effect of Volatiles Emitted From Alcaligenes faecalis N1-4 on Aspergillus flavus and Aflatoxins in Storage. Frontiers in Microbiology. 10. 1419–1419. 32 indexed citations
17.
Menardo, Fabrizio, Minfeng Xue, Shuangjun Gong, et al.. (2017). Transcriptome Analyses Shed New Insights into Primary Metabolism and Regulation of Blumeria graminis f. sp. tritici during Conidiation. Frontiers in Plant Science. 8. 1146–1146. 15 indexed citations
18.
Gong, Shuangjun, Lijun Yang, Wenqi Shi, et al.. (2015). An approach for long-term preservation of Blumeria graminis f. sp. tritici. Tropical Plant Pathology. 40(2). 127–133. 1 indexed citations
19.
Xia, Yuanyuan, Qing X. Li, Shuangjun Gong, et al.. (2009). Development of a monoclonal antibody-based enzyme-linked immunosorbent assay for the analysis of the new fungicide 2-allylphenol in strawberry fruits. Food Chemistry. 120(4). 1178–1184. 6 indexed citations
20.
Gong, Shuangjun, Jianjun Hao, Yuanyuan Xia, Xili Liu, & Jianqiang Li. (2009). Inhibitory effect of bionic fungicide 2‐allylphenol on Botrytis cinerea (Pers. ex Fr.) in vitro. Pest Management Science. 65(12). 1337–1343. 13 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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