Dong An

1.3k total citations
24 papers, 944 citations indexed

About

Dong An is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Dong An has authored 24 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 14 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Dong An's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Genomics and Phylogenetic Studies (5 papers) and Plant Molecular Biology Research (5 papers). Dong An is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Genomics and Phylogenetic Studies (5 papers) and Plant Molecular Biology Research (5 papers). Dong An collaborates with scholars based in China, United States and South Korea. Dong An's co-authors include Wenqin Wang, Changsheng Li, Peng Zhang, Jun Yang, Yongrui Wu, Yong Zhou, Edward S. Buckler, Jeffrey C. Glaubitz, Kelly Swarts and Sarah Hearne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Plant Cell.

In The Last Decade

Dong An

23 papers receiving 932 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong An China 17 654 375 239 71 59 24 944
Florian Jupe United Kingdom 16 1.3k 2.0× 533 1.4× 107 0.4× 64 0.9× 26 0.4× 17 1.6k
Na Yao China 19 499 0.8× 483 1.3× 160 0.7× 55 0.8× 41 0.7× 71 936
Wayne E. Clarke Canada 16 921 1.4× 649 1.7× 206 0.9× 19 0.3× 83 1.4× 19 1.2k
Lindsay R. Triplett United States 21 1.3k 2.0× 322 0.9× 75 0.3× 119 1.7× 32 0.5× 43 1.5k
Mingming Liu China 16 574 0.9× 335 0.9× 42 0.2× 10 0.1× 18 0.3× 32 708
Jin Xiao China 26 1.5k 2.3× 388 1.0× 238 1.0× 26 0.4× 28 0.5× 75 1.7k
Jun Qin China 24 1.4k 2.1× 385 1.0× 160 0.7× 46 0.6× 59 1.0× 88 1.6k
Savithri U. Nambeesan United States 16 710 1.1× 313 0.8× 65 0.3× 13 0.2× 67 1.1× 39 869
Fabienne Vailleau France 22 1.9k 2.8× 567 1.5× 65 0.3× 62 0.9× 41 0.7× 36 2.1k
E. M. Möller Germany 10 1.0k 1.6× 414 1.1× 97 0.4× 111 1.6× 183 3.1× 14 1.4k

Countries citing papers authored by Dong An

Since Specialization
Citations

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

Fields of papers citing papers by Dong An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong An

This figure shows the co-authorship network connecting the top 25 collaborators of Dong An. A scholar is included among the top collaborators of Dong An 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 Dong An. Dong An 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.
Song, Hongping, Dong An, Ying Li, et al.. (2023). NbMLP43 Ubiquitination and Proteasomal Degradation via the Light Responsive Factor NbBBX24 to Promote Viral Infection. Cells. 12(4). 590–590. 5 indexed citations
2.
An, Dong, Ying Li, Lili Shen, et al.. (2022). Comprehensive analysis of lysine lactylation in Frankliniella occidentalis. Frontiers in Genetics. 13. 1014225–1014225. 13 indexed citations
3.
Li, Changsheng, Xiaoli Xiang, Yong Zhou, et al.. (2020). Long-read sequencing reveals genomic structural variations that underlie creation of quality protein maize. Nature Communications. 11(1). 17–17. 59 indexed citations
4.
5.
Ren, Lipin, Yanjie Shang, Li Yang, et al.. (2020). Chromosome‐level de novo genome assembly of Sarcophaga peregrina provides insights into the evolutionary adaptation of flesh flies. Molecular Ecology Resources. 21(1). 251–262. 20 indexed citations
6.
Huang, Xing, Qiong Wang, Jiechen Wang, et al.. (2019). Maize VKS1 Regulates Mitosis and Cytokinesis During Early Endosperm Development. The Plant Cell. 31(6). 1238–1256. 44 indexed citations
7.
Liu, Hongjun, Xiaohan Li, Fangyuan Li, et al.. (2019). High frequency DNA rearrangement at qγ27 creates a novel allele for Quality Protein Maize breeding. Communications Biology. 2(1). 460–460. 9 indexed citations
8.
Peng, Yu, Yingying Zhang, Yijie Gui, et al.. (2019). Elimination of a Retrotransposon for Quenching Genome Instability in Modern Rice. Molecular Plant. 12(10). 1395–1407. 14 indexed citations
9.
Yuan, Ningning, Jiechen Wang, Yong Zhou, et al.. (2019). EMB-7L is required for embryogenesis and plant development in maize involved in RNA splicing of multiple chloroplast genes. Plant Science. 287. 110203–110203. 26 indexed citations
10.
Zheng, Xixi, Qi Li, Changsheng Li, et al.. (2019). Intra-Kernel Reallocation of Proteins in Maize Depends on VP1-Mediated Scutellum Development and Nutrient Assimilation. The Plant Cell. 31(11). tpc.00444.2019–tpc.00444.2019. 24 indexed citations
11.
An, Dong, Changsheng Li, Yong Zhou, Yongrui Wu, & Wenqin Wang. (2018). Genomes and Transcriptomes of Duckweeds. Frontiers in Chemistry. 6. 230–230. 36 indexed citations
12.
An, Dong, Hieu X. Cao, Changsheng Li, Klaus Humbeck, & Wenqin Wang. (2018). Isoform Sequencing and State-of-Art Applications for Unravelling Complexity of Plant Transcriptomes. Genes. 9(1). 43–43. 49 indexed citations
13.
An, Dong, Jiugeng Chen, Yi‐Qun Gao, et al.. (2017). AtHKT1 drives adaptation of Arabidopsis thaliana to salinity by reducing floral sodium content. PLoS Genetics. 13(10). e1007086–e1007086. 60 indexed citations
14.
An, Dong, Qiuxiang Ma, Hongxia Wang, et al.. (2017). Cassava C-repeat binding factor 1 gene responds to low temperature and enhances cold tolerance when overexpressed in Arabidopsis and cassava. Plant Molecular Biology. 94(1-2). 109–124. 44 indexed citations
15.
Li, Changsheng, Feng Lin, Dong An, Wenqin Wang, & Ruidong Huang. (2017). Genome Sequencing and Assembly by Long Reads in Plants. Genes. 9(1). 6–6. 73 indexed citations
16.
An, Dong, Qiuxiang Ma, Weiyu Yan, et al.. (2016). Divergent Regulation of CBF Regulon on Cold Tolerance and Plant Phenotype in Cassava Overexpressing Arabidopsis CBF3 Gene. Frontiers in Plant Science. 7. 1866–1866. 39 indexed citations
17.
Swarts, Kelly, Huihui Li, Dong An, et al.. (2014). Novel Methods to Optimize Genotypic Imputation for Low‐Coverage, Next‐Generation Sequence Data in Crop Plants. The Plant Genome. 7(3). 196 indexed citations
18.
Liu, Zhe, Shaoming Li, Xiaodong Zhang, et al.. (2013). Environmental sample size estimation based on variety means estimation and means comparison for multi-environment trial. 13. 460–465. 2 indexed citations
19.
Yang, Jun, Dong An, & Peng Zhang. (2010). Expression Profiling of Cassava Storage Roots Reveals an Active Process of Glycolysis/GluconeogenesisF. Journal of Integrative Plant Biology. 53(3). 193–211. 79 indexed citations
20.
Jeong, Wooseog, et al.. (2009). A molecular phylogeny of the benignTheileriaparasites based on major piroplasm surface protein (MPSP) gene sequences. Parasitology. 137(2). 241–249. 38 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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