Dekai Wang

2.0k total citations
39 papers, 1.4k citations indexed

About

Dekai Wang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Dekai Wang has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 18 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Dekai Wang's work include Plant Molecular Biology Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Plant Gene Expression Analysis (5 papers). Dekai Wang is often cited by papers focused on Plant Molecular Biology Research (11 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Plant Gene Expression Analysis (5 papers). Dekai Wang collaborates with scholars based in China, United States and Slovakia. Dekai Wang's co-authors include Yuezhi Tao, Heqin Liu, Sujuan Li, Zongxiu Sun, Yaping Fu, Kemei Pei, Bin Han, Baolan Zhang, Penggen Duan and Ran Xu and has published in prestigious journals such as Nature Genetics, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Dekai Wang

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dekai Wang China 15 1.2k 657 331 51 48 39 1.4k
Dinesh Kumar India 17 638 0.6× 262 0.4× 227 0.7× 42 0.8× 22 0.5× 100 997
Xianrong Xie China 20 863 0.7× 885 1.3× 323 1.0× 38 0.7× 45 0.9× 43 1.3k
Sang‐Choon Lee South Korea 25 1.3k 1.1× 1.3k 1.9× 173 0.5× 62 1.2× 16 0.3× 73 2.0k
R. M. Sundaram India 28 2.4k 2.1× 584 0.9× 666 2.0× 93 1.8× 119 2.5× 151 2.7k
Lifang Hu China 21 1.1k 1.0× 740 1.1× 181 0.5× 14 0.3× 52 1.1× 57 1.4k
Mohammad Aslam China 27 1.6k 1.4× 999 1.5× 110 0.3× 51 1.0× 31 0.6× 104 2.0k
Fuk‐Ling Wong Hong Kong 17 1.5k 1.3× 479 0.7× 225 0.7× 40 0.8× 22 0.5× 31 1.7k
Francesca Taranto Italy 19 1.0k 0.9× 261 0.4× 393 1.2× 193 3.8× 116 2.4× 46 1.4k
Tao Guo China 18 1.2k 1.1× 675 1.0× 544 1.6× 39 0.8× 52 1.1× 37 1.7k
Jyoti Kumari India 16 632 0.5× 111 0.2× 140 0.4× 37 0.7× 51 1.1× 115 789

Countries citing papers authored by Dekai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dekai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dekai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dekai Wang. A scholar is included among the top collaborators of Dekai Wang 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 Dekai Wang. Dekai Wang 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, Dekai, et al.. (2025). Evaluation of genetic diversity and construction of DNA fingerprinting in Polygonatum Mill. based on InDel molecular markers. Genetic Resources and Crop Evolution. 72(6). 7453–7464. 1 indexed citations
2.
Liu, Qian, Dekai Wang, Kun Wu, et al.. (2025). Precise control of chromatin loop extrusion enhances sustainable green revolution yield in rice. Nature Genetics. 57(11). 2798–2807.
4.
Zhang, Qingyou, Luping Zhang, Mei Lü, et al.. (2024). The accumulation of active ingredients of Polygonatum cyrtonema Hua is associated with soil characteristics and bacterial community. Frontiers in Microbiology. 15. 1347204–1347204. 7 indexed citations
6.
Huang, Ke, Yuexing Wang, Yingjie Li, et al.. (2024). Modulation of histone acetylation enables fully mechanized hybrid rice breeding. Nature Plants. 10(6). 954–970. 8 indexed citations
7.
Ma, Nan, Ying Liu, Yu Cao, et al.. (2023). Succession of endophytic fungi and rhizosphere soil fungi and their correlation with secondary metabolites in Fagopyrum dibotrys. Frontiers in Microbiology. 14. 1220431–1220431. 12 indexed citations
8.
Cao, Yu, Haibo Li, Qiao Liu, et al.. (2023). Assembly and phylogenetic analysis of the mitochondrial genome of endangered medicinal plant Huperzia crispata. Functional & Integrative Genomics. 23(4). 295–295. 7 indexed citations
9.
Zhai, Yufeng, et al.. (2022). Diversity of endophytic fungal community in Huperzia serrata from different ecological areas and their correlation with Hup A content. BMC Microbiology. 22(1). 191–191. 11 indexed citations
10.
Jiang, Yujie, Qiaojun Jia, Ruilian Han, et al.. (2022). Transcriptome Analysis of Different Sections of Rhizome in Polygonatum sibiricum Red. and Mining Putative Genes Participate in Polysaccharide Biosynthesis. Biochemical Genetics. 60(5). 1547–1566. 11 indexed citations
11.
Jiang, Yujie, et al.. (2022). Cloning and Characterization of the Gene Encoding HMGS Synthase in Polygonatum sibiricum. BioMed Research International. 2022(1). 7441296–7441296. 1 indexed citations
12.
Huang, Luojiang, Kai Hua, Ran Xu, et al.. (2021). The LARGE2-APO1/APO2 regulatory module controls panicle size and grain number in rice. The Plant Cell. 33(4). 1212–1228. 66 indexed citations
13.
Lyu, Jia, Dekai Wang, Penggen Duan, et al.. (2020). Control of Grain Size and Weight by the GSK2-LARGE1/OML4 Pathway in Rice. The Plant Cell. 32(6). 1905–1918. 75 indexed citations
14.
Choi, Hyong Woo, Lei Wang, Adrian F. Powell, et al.. (2019). A genome-wide screen for human salicylic acid (SA)-binding proteins reveals targets through which SA may influence development of various diseases. Scientific Reports. 9(1). 13084–13084. 16 indexed citations
15.
Manohar, Murli, Dekai Wang, Patricia Manosalva, et al.. (2017). Members of the abscisic acid co‐receptor PP 2C protein family mediate salicylic acid–abscisic acid crosstalk. Plant Direct. 1(5). e00020–e00020. 44 indexed citations
16.
Zhang, Qian, Dongliang Liu, Haiqi Wang, et al.. (2015). A calcium-binding protein, rice annexin OsANN1, enhances heat stress tolerance by modulating the production of H2O2. Journal of Experimental Botany. 66(19). 5853–5866. 148 indexed citations
17.
Wang, Dekai, Heqin Liu, Sujuan Li, et al.. (2015). Characterization and molecular cloning of a serine hydroxymethyltransferase 1 (OsSHM1) in rice. Journal of Integrative Plant Biology. 57(9). 745–756. 39 indexed citations
18.
Zhou, Jie, Jun Li, Jian‐Hua Zhao, et al.. (2014). Efficient Generation of Marker-Free Transgenic Rice Plants Using an Improved Transposon-Mediated Transgene Reintegration Strategy. PLANT PHYSIOLOGY. 167(1). 11–24. 17 indexed citations
19.
Wang, Dekai, Kemei Pei, Yaping Fu, et al.. (2007). Genome-wide analysis of the auxin response factors (ARF) gene family in rice (Oryza sativa). Gene. 394(1-2). 13–24. 374 indexed citations
20.
Wang, Dekai, Zongxiu Sun, & Yuezhi Tao. (2006). Application of TILLING in Plant Improvement. Acta Genetica Sinica. 33(11). 957–964. 6 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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