Juan Dong

8.7k total citations · 2 hit papers
166 papers, 6.4k citations indexed

About

Juan Dong is a scholar working on Molecular Biology, Plant Science and Electrical and Electronic Engineering. According to data from OpenAlex, Juan Dong has authored 166 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 48 papers in Plant Science and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Juan Dong's work include Plant Molecular Biology Research (44 papers), Plant Reproductive Biology (35 papers) and Advanced biosensing and bioanalysis techniques (26 papers). Juan Dong is often cited by papers focused on Plant Molecular Biology Research (44 papers), Plant Reproductive Biology (35 papers) and Advanced biosensing and bioanalysis techniques (26 papers). Juan Dong collaborates with scholars based in China, United States and Germany. Juan Dong's co-authors include Qingbo Meng, Jiangjian Shi, Yanhong Luo, Xin Xu, Dominique C. Bergmann, Junyan Xiao, Mary MacDougall, Songtao Lv, Dongmei Li and Lifeng Zhu and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Juan Dong

159 papers receiving 6.3k citations

Hit Papers

Hole-conductor-free perovskite organic lead iodide hetero... 2014 2026 2018 2022 2014 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Dong China 42 3.2k 2.4k 1.8k 1.1k 1.0k 166 6.4k
Shyam S. Mohapatra United States 48 2.1k 0.7× 607 0.3× 353 0.2× 602 0.5× 124 0.1× 203 7.0k
Mingyang Li China 34 2.1k 0.6× 511 0.2× 575 0.3× 1.1k 0.9× 29 0.0× 336 5.2k
Li Huang China 38 2.1k 0.7× 155 0.1× 134 0.1× 364 0.3× 56 0.1× 269 4.9k
Shaobo Wang China 34 688 0.2× 341 0.1× 276 0.2× 459 0.4× 484 0.5× 103 3.5k
Xiaoying Wu China 36 2.2k 0.7× 439 0.2× 232 0.1× 127 0.1× 201 0.2× 194 4.8k
Yuko Inoue Japan 25 910 0.3× 484 0.2× 165 0.1× 608 0.5× 192 0.2× 124 2.9k
Peipei Huo China 22 949 0.3× 318 0.1× 327 0.2× 1.2k 1.0× 82 0.1× 44 3.6k
Nian Liu China 32 2.6k 0.8× 117 0.0× 475 0.3× 429 0.4× 62 0.1× 151 4.7k
Masayoshi Itoh Japan 39 3.2k 1.0× 599 0.3× 103 0.1× 753 0.7× 430 0.4× 188 6.1k
Hidenori Yamada Japan 36 2.6k 0.8× 174 0.1× 237 0.1× 737 0.6× 64 0.1× 186 4.4k

Countries citing papers authored by Juan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Juan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Dong. A scholar is included among the top collaborators of Juan 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 Juan Dong. Juan 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.
Zhou, Yuzheng, Taijie Guo, Xiao Zhang, et al.. (2025). Discovery of SARS-CoV-2 PLpro inhibitors and RIPK1 inhibitors with synergistic antiviral efficacy in a mouse COVID-19 model. Acta Pharmaceutica Sinica B. 16(1). 387–405.
2.
Zhang, Shiting, Ying Yu, Jingya Wang, et al.. (2025). CLE19 suppresses brassinosteroid signaling output via the BSL‐BIN2 module to maintain BES1 activity and pollen exine patterning in Arabidopsis. Journal of Integrative Plant Biology. 67(12). 3216–3230.
3.
Huang, Aobo, Jinming Zhang, Deepanjali Verma, et al.. (2025). Split-YFP-coupled interaction-dependent TurboID identifies new functions of basal cell polarity in Arabidopsis.. PubMed. 122(32). e2502445122–e2502445122.
4.
Zhu, Limei, Xin You, Rong Chen, et al.. (2025). Thermosensitive poly (NVCL-co-GelMA) nanogels as a delivery platform for rectal administration of 5-ASA in ulcerative colitis. Chemical Engineering Journal. 512. 162442–162442. 1 indexed citations
5.
Feng, Shenglei, Shi Yin, Xinxin Xiong, et al.. (2024). Histone demethylase KDM2A recruits HCFC1 and E2F1 to orchestrate male germ cell meiotic entry and progression. The EMBO Journal. 43(19). 4197–4227. 4 indexed citations
6.
Zhang, Yi, Tongda Xu, & Juan Dong. (2023). Asymmetric cell division in plant development. Journal of Integrative Plant Biology. 65(2). 343–370. 18 indexed citations
7.
Yuan, Yi, Yi Fu, Shan Zhou, et al.. (2023). The aptamer-based RNA-PROTAC. Bioorganic & Medicinal Chemistry. 86. 117299–117299. 16 indexed citations
9.
Guo, Xiaoyu, Lu Wang, & Juan Dong. (2021). Establishing asymmetry: stomatal division and differentiation in plants. New Phytologist. 232(1). 60–67. 25 indexed citations
10.
Zhong, Sheng, Meiling Liu, Zhijuan Wang, et al.. (2019). Cysteine-rich peptides promote interspecific genetic isolation in Arabidopsis. Science. 364(6443). 105 indexed citations
11.
Dong, Juan, Xiaoli Wang, Congcong Cao, et al.. (2019). UHRF1 suppresses retrotransposons and cooperates with PRMT5 and PIWI proteins in male germ cells. Nature Communications. 10(1). 4705–4705. 61 indexed citations
12.
13.
Dong, Juan, et al.. (2016). Advances in frailty and malnutrition research. Zhonghua laonian yixue zazhi. 35(8). 907–909. 1 indexed citations
14.
Zhang, Qingzhu, Yanqiang Li, Tao Xu, et al.. (2016). The chromatin remodeler DDM1 promotes hybrid vigor by regulating salicylic acid metabolism. Cell Discovery. 2(1). 16027–16027. 46 indexed citations
15.
Zhang, Ying, et al.. (2015). The BASL Polarity Protein Controls a MAPK Signaling Feedback Loop in Asymmetric Cell Division. Developmental Cell. 33(2). 136–149. 128 indexed citations
16.
Xu, Xin, Huiyin Zhang, Jiangjian Shi, et al.. (2015). Highly efficient planar perovskite solar cells with a TiO 2 /ZnO electron transport bilayer. Journal of Materials Chemistry. 7 indexed citations
17.
Hachez, Charles, Kyoko Ohashi‐Ito, Juan Dong, & Dominique C. Bergmann. (2011). Differentiation of Arabidopsis Guard Cells: Analysis of the Networks Incorporating the Basic Helix-Loop-Helix Transcription Factor, FAMA      . PLANT PHYSIOLOGY. 155(3). 1458–1472. 72 indexed citations
18.
Li, Hao, Yutao Diao, Juan Dong, et al.. (2010). Polymorphisms in the MTHRF, VDR, MMP-9 and IL-β Genes and the Risk of Premature Rupture of Membranes. Gynecologic and Obstetric Investigation. 70(3). 206–214. 13 indexed citations
19.
Chen, Shuo, Juan Dong, Ting Gu, et al.. (2004). Regulation of the Cell Type-specific Dentin Sialophosphoprotein Gene Expression in Mouse Odontoblasts by a Novel Transcription Repressor and an Activator CCAAT-binding Factor. Journal of Biological Chemistry. 279(40). 42182–42191. 20 indexed citations
20.
Mollet, Jean‐Claude, et al.. (2003). Chemocyanin, a small basic protein from the lily stigma, induces pollen tube chemotropism. Proceedings of the National Academy of Sciences. 100(26). 16125–16130. 182 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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