Dekun Dong

790 total citations
22 papers, 591 citations indexed

About

Dekun Dong is a scholar working on Plant Science, Molecular Biology and Hematology. According to data from OpenAlex, Dekun Dong has authored 22 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 3 papers in Molecular Biology and 2 papers in Hematology. Recurrent topics in Dekun Dong's work include Soybean genetics and cultivation (10 papers), Legume Nitrogen Fixing Symbiosis (7 papers) and Plant Virus Research Studies (5 papers). Dekun Dong is often cited by papers focused on Soybean genetics and cultivation (10 papers), Legume Nitrogen Fixing Symbiosis (7 papers) and Plant Virus Research Studies (5 papers). Dekun Dong collaborates with scholars based in China, United States and Switzerland. Dekun Dong's co-authors include Kai Shi, Yanhong Zhou, Danhua Zhu, Jingquan Yu, Leon V. Kochian, Jianyong Li, Jiping Liu, Susan R. McCouch, Xiaomin Jia and Qinghua Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Dekun Dong

21 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dekun Dong China 15 543 128 26 24 24 22 591
Chengjin Guo China 16 660 1.2× 201 1.6× 18 0.7× 17 0.7× 16 0.7× 48 705
Dengfeng Dong China 12 429 0.8× 138 1.1× 53 2.0× 14 0.6× 10 0.4× 22 592
Salvinder Singh India 9 279 0.5× 146 1.1× 28 1.1× 93 3.9× 25 1.0× 25 411
Lenin Yong‐Villalobos Mexico 9 662 1.2× 186 1.5× 18 0.7× 11 0.5× 20 0.8× 14 723
Muhammad Kashif Naeem Pakistan 14 651 1.2× 185 1.4× 45 1.7× 14 0.6× 23 1.0× 49 751
Thomas Richter Germany 3 297 0.5× 121 0.9× 16 0.6× 12 0.5× 18 0.8× 7 341
Poonam Mehra India 13 610 1.1× 140 1.1× 35 1.3× 7 0.3× 18 0.8× 24 673
María Teresa Fernández Chile 4 268 0.5× 71 0.6× 32 1.2× 18 0.8× 9 0.4× 5 304
Parul Goel India 10 342 0.6× 110 0.9× 27 1.0× 16 0.7× 17 0.7× 10 381
Diego M. Almeida Portugal 7 676 1.2× 221 1.7× 32 1.2× 26 1.1× 21 0.9× 7 752

Countries citing papers authored by Dekun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Dekun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dekun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Dekun Dong. A scholar is included among the top collaborators of Dekun 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 Dekun Dong. Dekun Dong 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.
Pang, Shanchen, et al.. (2020). Virtual Machine Deployment Strategy Based on Improved PSO in Cloud Computing. Computing and Informatics. 39(1-2). 83–104. 1 indexed citations
2.
3.
Fu, Xujun, Jinli Pei, Yuanting Zheng, et al.. (2019). DNA Fingerprinting of Vegetable Soybean Cultivar ‘Zhexian No.9’ Using 101 New Developed HRM-Based SNP Markers. Legume Research - An International Journal. 5 indexed citations
4.
Yuan, Fengjie, Xiaomin Yu, Dekun Dong, et al.. (2017). Whole genome-wide transcript profiling to identify differentially expressed genes associated with seed field emergence in two soybean low phytate mutants. BMC Plant Biology. 17(1). 16–16. 18 indexed citations
5.
Jin, Hangxia, Dekun Dong, Qinghua Yang, & Danhua Zhu. (2016). Salt-Responsive Transcriptome Profiling of Suaeda glauca via RNA Sequencing. PLoS ONE. 11(3). e0150504–e0150504. 56 indexed citations
6.
Li, Jianyong, Jiping Liu, Dekun Dong, et al.. (2014). Natural variation underlies alterations in Nramp aluminum transporter ( NRAT1 ) expression and function that play a key role in rice aluminum tolerance. Proceedings of the National Academy of Sciences. 111(17). 6503–6508. 126 indexed citations
7.
Dong, Dekun, et al.. (2014). [Drug susceptibility and UL97 gene mutation analysis of cytomegalovirus in recipients of hematopoietic stem cell transplantation].. PubMed. 34(4). 519–22. 2 indexed citations
8.
Shakiba, Ehsan, et al.. (2013). Inheritance and Allelic Relationships of Resistance Genes for Soybean mosaic virus in ‘Corsica’ and ‘Beeson’ Soybean. Crop Science. 53(4). 1455–1463. 15 indexed citations
9.
Dong, Dekun, Xujun Fu, Fengjie Yuan, et al.. (2013). Genetic diversity and population structure of vegetable soybean (Glycine max (L.) Merr.) in China as revealed by SSR markers. Genetic Resources and Crop Evolution. 61(1). 173–183. 46 indexed citations
10.
Yuan, Fengjie, Danhua Zhu, Yuanyuan Tan, et al.. (2012). Identification and characterization of the soybean IPK1 ortholog of a low phytic acid mutant reveals an exon-excluding splice-site mutation. Theoretical and Applied Genetics. 125(7). 1413–1423. 39 indexed citations
11.
Dong, Dekun, Fengjie Yuan, Shenlong Zhu, et al.. (2012). Inheritance and fine mapping of a restorer-of-fertility (Rf) gene for the cytoplasmic male sterility in soybean. Plant Science. 188-189. 36–40. 19 indexed citations
12.
Shakiba, Ehsan, et al.. (2012). Two Novel Alleles at the Rsv 3 Locus for Resistance to Soybean Mosaic Virus in PI 399091 and PI 61947 Soybeans. Crop Science. 52(6). 2587–2594. 14 indexed citations
13.
Shi, Ainong, et al.. (2010). Multiplex single nucleotide polymorphism (SNP) assay for detection of soybean mosaic virus resistance genes in soybean. Theoretical and Applied Genetics. 122(2). 445–457. 11 indexed citations
14.
Meng, Jie, Yanli Xu, Shuxian Li, et al.. (2010). Soybean Growth and Soil Microbial Populations under Conventional and Conservational Tillage Systems. Journal of Crop Improvement. 24(4). 337–348. 2 indexed citations
15.
Fu, Lijun, Kai Shi, Min Gu, et al.. (2009). Systemic Induction and Role of Mitochondrial Alternative Oxidase and Nitric Oxide in a Compatible Tomato–Tobacco mosaic virus Interaction. Molecular Plant-Microbe Interactions. 23(1). 39–48. 77 indexed citations
16.
Shi, Kai, Lijun Fu, Dekun Dong, Yanhong Zhou, & Jingquan Yu. (2008). Decreased energy synthesis is partially compensated by a switch to sucrose synthase pathway of sucrose degradation in restricted root of tomato plants. Plant Physiology and Biochemistry. 46(12). 1040–1044. 15 indexed citations
17.
Shi, Kai, Xiaotao Ding, Dekun Dong, Yanhong Zhou, & Jingquan Yu. (2008). Root restriction-induced limitation to photosynthesis in tomato (Lycopersicon esculentum Mill.) leaves. Scientia Horticulturae. 117(3). 197–202. 34 indexed citations
18.
Shi, Kai, Xiaotao Ding, Dekun Dong, Yanhong Zhou, & Jing Yu. (2008). Putrescine enhancement of tolerance to root-zone hypoxia in Cucumis sativus: a role for increased nitrate reduction. Functional Plant Biology. 35(4). 337–345. 20 indexed citations
19.
Dong, Dekun, et al.. (2007). Overdominance and Epistasis Are Important for the Genetic Basis of Heterosis in Brassica rapa. HortScience. 42(5). 1207–1211. 8 indexed citations
20.
Shi, Kai, et al.. (2007). Low O2 supply is involved in the poor growth in root-restricted plants of tomato (Lycopersicon esculentum Mill.). Environmental and Experimental Botany. 61(2). 181–189. 41 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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