Lidong Dong

2.9k total citations
38 papers, 1.5k citations indexed

About

Lidong Dong is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Lidong Dong has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 9 papers in Molecular Biology and 4 papers in Agronomy and Crop Science. Recurrent topics in Lidong Dong's work include Soybean genetics and cultivation (28 papers), Legume Nitrogen Fixing Symbiosis (22 papers) and Plant Molecular Biology Research (12 papers). Lidong Dong is often cited by papers focused on Soybean genetics and cultivation (28 papers), Legume Nitrogen Fixing Symbiosis (22 papers) and Plant Molecular Biology Research (12 papers). Lidong Dong collaborates with scholars based in China, Australia and United Kingdom. Lidong Dong's co-authors include Qun Cheng, Fanjiang Kong, Pengfei Xu, Shuzhen Zhang, Baohui Liu, Sujie Fan, Liangyu Jiang, Sijia Lü, Junjiang Wu and Haiyang Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Lidong Dong

36 papers receiving 1.5k citations

Peers

Lidong Dong

ACS

GENET

Qun Cheng China

Zhihui Shan China

Chongmei Dong Australia

Yongzhe Ren China

Rongxia Guan China

Songli Yuan China

Makiko Chono Japan

Zeyu Xin China

Nardjis Amiour France

Taiichi Ogawa Japan

Qun Cheng China

Lidong Dong

1.4k ×1.0

495 ×1.0

121 ×0.9

ACS

48 ×1.0

GENET

48 ×1.1

Citations per year, relative to Lidong Dong Lidong Dong (= 1×) peers Qun Cheng

Countries citing papers authored by Lidong Dong

Since Specialization

Citations

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

Fields of papers citing papers by Lidong Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lidong Dong

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

Fang, Chao, et al.. (2025). Toward a Green Revolution in soybean: The role of ultra‐high‐density planting. Journal of Integrative Plant Biology. 68(2). 297–301.

Fang, Chao, Zhihui Sun, Shichen Li, et al.. (2024). Subfunctionalisation and self-repression of duplicated E1 homologues finetunes soybean flowering and adaptation. Nature Communications. 15(1). 6184–6184. 6 indexed citations

Gao, C. S., Jianwei Lü, Wei Ye, et al.. (2024). COL3a simultaneously regulates flowering and branching to improve grain yield in soybean. Plant Biotechnology Journal. 23(1). 201–203. 1 indexed citations

Dong, Lidong, Li Jiang, Xiaoyi Liu, et al.. (2023). Genome-wide association study and RNA-seq identifies GmWRI1-like transcription factor related to the seed weight in soybean. Frontiers in Plant Science. 14. 1268511–1268511. 2 indexed citations

Lin, Xiaoya, Lidong Dong, Yang Tang, et al.. (2022). Novel and multifaceted regulations of photoperiodic flowering by phytochrome A in soybean. Proceedings of the National Academy of Sciences. 119(41). e2208708119–e2208708119. 54 indexed citations

Wang, Lingshuang, Haiyang Li, Lidong Dong, et al.. (2022). GIGANTEA orthologs, E2 members, redundantly determine photoperiodic flowering and yield in soybean. Journal of Integrative Plant Biology. 65(1). 188–202. 20 indexed citations

Zhang, Yong, Lei Wang, Kaifeng Hu, et al.. (2022). Identifying Quantitative Trait Loci and Candidate Genes Conferring Resistance to Soybean Mosaic Virus SC7 by Quantitative Trait Loci-Sequencing in Soybean. Frontiers in Plant Science. 13. 843633–843633. 5 indexed citations

Hou, Zhihong, Yongli Li, Weiwei Li, et al.. (2022). Genome-Wide Analysis of DREB Genes Identifies a Novel Salt Tolerance Gene in Wild Soybean (Glycine soja). Frontiers in Plant Science. 13. 821647–821647. 31 indexed citations

Lü, Sijia, Kai Wang, Lidong Dong, et al.. (2021). A critical role of the soybean evening complex in the control of photoperiod sensitivity and adaptation. Proceedings of the National Academy of Sciences. 118(8). 89 indexed citations

10.

Dong, Lidong, Minmin Li, Ying Liu, et al.. (2021). GmRAV confers ecological adaptation through photoperiod control of flowering time and maturity in soybean. PLANT PHYSIOLOGY. 187(1). 361–377. 25 indexed citations

11.

Li, Xiaoming, Chao Fang, Yongqing Yang, et al.. (2021). Overcoming the genetic compensation response of soybean florigens to improve adaptation and yield at low latitudes. Current Biology. 31(17). 3755–3767.e4. 51 indexed citations

12.

Cheng, Qun, Zhuoran Gan, Yanping Wang, et al.. (2020). The Soybean Gene J Contributes to Salt Stress Tolerance by Up-Regulating Salt-Responsive Genes. Frontiers in Plant Science. 11. 272–272. 41 indexed citations

13.

Liu, Xiaoqian, et al.. (2020). High-density QTL mapping of leaf-related traits and chlorophyll content in three soybean RIL populations. BMC Plant Biology. 20(1). 470–470. 12 indexed citations

14.

Cheng, Qun, Lidong Dong, Tong Su, et al.. (2019). CRISPR/Cas9-mediated targeted mutagenesis of GmLHY genes alters plant height and internode length in soybean. BMC Plant Biology. 19(1). 562–562. 96 indexed citations

15.

Zhao, Yuanling, Lidong Dong, Guangjin Wang, et al.. (2017). A Novel Soybean ERF Transcription Factor, GmERF113, Increases Resistance to Phytophthora sojae Infection in Soybean. Frontiers in Plant Science. 8. 299–299. 64 indexed citations

16.

Zhang, Chuanzhong, Xin Wang, Feng Zhang, et al.. (2017). Phenylalanine ammonia-lyase2.1 contributes to the soybean response towards Phytophthora sojae infection. Scientific Reports. 7(1). 7242–7242. 74 indexed citations

17.

Fan, Sujie, Lidong Dong, Dan Han, et al.. (2017). GmWRKY31 and GmHDL56 Enhances Resistance to Phytophthora sojae by Regulating Defense-Related Gene Expression in Soybean. Frontiers in Plant Science. 8. 781–781. 36 indexed citations

18.

Dong, Lidong, Junjiang Wu, Qun Cheng, et al.. (2015). Overexpression of GmERF5, a new member of the soybean EAR motif-containing ERF transcription factor, enhances resistance to Phytophthora sojae in soybean. Journal of Experimental Botany. 66(9). 2635–2647. 123 indexed citations

19.

Fan, Sujie, Liangyu Jiang, Junjiang Wu, et al.. (2015). A Novel Pathogenesis-Related Class 10 Protein Gly m 4l, Increases Resistance upon Phytophthora sojae Infection in Soybean (Glycine max [L.] Merr.). PLoS ONE. 10(10). e0140364–e0140364. 30 indexed citations

20.

Cheng, Qun, Ninghui Li, Lidong Dong, et al.. (2015). Overexpression of Soybean Isoflavone Reductase (GmIFR) Enhances Resistance to Phytophthora sojae in Soybean. Frontiers in Plant Science. 6. 1024–1024. 97 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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