Yanjun Dong

3.7k total citations · 1 hit paper
105 papers, 3.0k citations indexed

About

Yanjun Dong is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Yanjun Dong has authored 105 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 43 papers in Plant Science and 24 papers in Genetics. Recurrent topics in Yanjun Dong's work include Photosynthetic Processes and Mechanisms (22 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and GABA and Rice Research (17 papers). Yanjun Dong is often cited by papers focused on Photosynthetic Processes and Mechanisms (22 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and GABA and Rice Research (17 papers). Yanjun Dong collaborates with scholars based in China, United States and Japan. Yanjun Dong's co-authors include Ping Zhang, Dongzhi Lin, Yanlan Dong, William E. Mitch, Haidong Wang, Yun Bai, Juan Wang, Jinwei Li, Jie Du and Lixin Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Yanjun Dong

98 papers receiving 2.9k citations

Hit Papers

CD11c+ CD8+ T Cells Reduce Renal Fibrosis Following Urete... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CD11c+ CD8+ T Cells Reduce Renal Fibrosis Following Ureteric Obstruction by Inducing Fibroblast Apoptosis
    2016 340 citations Haidong Wang, Yanjun Dong et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanjun Dong China 30 1.5k 729 384 360 284 105 3.0k
Xiao Xiao China 32 1.7k 1.1× 535 0.7× 232 0.6× 158 0.4× 325 1.1× 140 3.7k
Mei Wang China 23 1.6k 1.1× 515 0.7× 213 0.6× 135 0.4× 376 1.3× 86 2.7k
Byung‐Chul Oh South Korea 35 2.7k 1.8× 652 0.9× 413 1.1× 844 2.3× 270 1.0× 117 4.7k
Xavier Dumont Belgium 26 2.2k 1.5× 248 0.3× 161 0.4× 520 1.4× 264 0.9× 47 5.0k
Hongyan Wang China 26 1.3k 0.8× 454 0.6× 219 0.6× 127 0.4× 163 0.6× 98 3.1k
Mehmet Karaca Türkiye 29 1.3k 0.9× 850 1.2× 136 0.4× 112 0.3× 423 1.5× 132 3.1k
Yoichi Sakata Japan 42 2.0k 1.4× 2.2k 3.0× 197 0.5× 269 0.7× 549 1.9× 213 6.8k
Yu Sun China 34 1.8k 1.2× 491 0.7× 246 0.6× 205 0.6× 249 0.9× 97 4.6k
Xuefeng Wu China 30 1.1k 0.8× 310 0.4× 246 0.6× 206 0.6× 161 0.6× 94 2.5k
Raymond Poon Canada 38 2.0k 1.4× 241 0.3× 222 0.6× 273 0.8× 338 1.2× 142 5.4k

Countries citing papers authored by Yanjun Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjun Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjun Dong. A scholar is included among the top collaborators of Yanjun 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 Yanjun Dong. Yanjun 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.
Wang, Zongjie, Peng Jiao, Yanjun Dong, et al.. (2025). ZmThr1, a chloroplast-targeted regulator from maize, enhances growth and grain development but reprograms amino acid and starch metabolism in Arabidopsis. Journal of Plant Physiology. 314. 154613–154613.
2.
Liu, Yuanqing, et al.. (2024). Thymoquinone: An Effective Natural Compound for Kidney Protection. The American Journal of Chinese Medicine. 52(3). 775–797. 4 indexed citations
3.
4.
Yang, Shixin, Yao Wang, Yanjun Dong, et al.. (2024). Adaptive evolution of carbapenem-resistant hypervirulent Klebsiella pneumoniae in the urinary tract of a single patient. Proceedings of the National Academy of Sciences. 121(35). e2400446121–e2400446121. 15 indexed citations
5.
6.
Wang, Zhiwen, Jijing Tian, Zhilin Li, et al.. (2022). Chitosan-functionalized graphene oxide as adjuvant in HEV P239 vaccine. Vaccine. 40(52). 7613–7621. 9 indexed citations
7.
Lin, Dongzhi, et al.. (2021). Rice TSV2 encoding threonyl-tRNA synthetase is needed for early chloroplast development and seedling growth under cold stress. G3 Genes Genomes Genetics. 11(9). 7 indexed citations
8.
Wang, Jing, et al.. (2021). The Mechanism of CD8+ T Cells for Reducing Myofibroblasts Accumulation during Renal Fibrosis. Biomolecules. 11(7). 990–990. 16 indexed citations
9.
Lin, Dongzhi, Quan Jiang, Xiaojing Ma, et al.. (2017). Rice TSV3 Encoding Obg-Like GTPase Protein Is Essential for Chloroplast Development During the Early Leaf Stage Under Cold Stress. G3 Genes Genomes Genetics. 8(1). 253–263. 15 indexed citations
10.
Wang, Wenjuan, Xiaodi Gong, Jianlong Xu, et al.. (2017). The rice TCD11 encoding plastid ribosomal protein S6 is essential for chloroplast development at low temperature. Plant Science. 259. 1–11. 51 indexed citations
11.
12.
Dong, Yanjun, Jenny S. Pan, & Ping Zhang. (2013). Myostatin Suppression of Akirin1 Mediates Glucocorticoid-Induced Satellite Cell Dysfunction. PLoS ONE. 8(3). e58554–e58554. 48 indexed citations
13.
Wang, Haidong, et al.. (2011). Expression and localization of nerve growth factor (NGF) in the testis of alpaca (llama pacos). SHILAP Revista de lepidopterología.
14.
Chen, Sunlu, et al.. (2011). Identification and genetic mapping of a lesion mimic stripe mutant in rice.. Zhongguo shuidao kexue. 25(2). 150–156. 1 indexed citations
15.
Wang, Haidong, et al.. (2011). Expression and localization of nerve growth factor (NGF) in the testis of alpaca <i>(llama pacos)</i>. Folia Histochemica et Cytobiologica. 49(1). 55–61. 17 indexed citations
16.
Li, Zhiqiang, et al.. (2010). Genetic Analysis and Molecular Mapping of a New Thermosensitive Leaf-color Mutant in Oryza sativa. Chinese Bulletin of Botany. 45(4). 419. 2 indexed citations
17.
Dong, Yanjun. (2008). Mapping of quantitative trait loci for length and distributive characteristic of awn in rice(Oryza sativa L.). 1 indexed citations
18.
Dong, Yanjun. (2007). Locating quantitative trait loci affecting flag-leaf shape traits in rice(Oryza sativa L.). 4 indexed citations
19.
Dong, Yanjun, Eiji Tsuzuki, Dongzhi Lin, et al.. (2005). Molecular Genetic Analysis of QTLs for Ferulic Acid Content in Dried Straw of Rice (Oryza sativa L.). Biochemical Genetics. 43(1-2). 25–34. 6 indexed citations
20.
Dong, Yanjun, Dongzhi Lin, Tsugufumi Ogawa, et al.. (2004). Molecular Genetic Mapping of QTLs for Tiller Angle in Rice (Oryza sativa L.). Nettai Nogyo/Nettai nougyou. 48(4). 228–234. 4 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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