Nana Dong

403 total citations · 1 hit paper
9 papers, 265 citations indexed

About

Nana Dong is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nana Dong has authored 9 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Nana Dong's work include Plant Molecular Biology Research (8 papers), Plant Stress Responses and Tolerance (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Nana Dong is often cited by papers focused on Plant Molecular Biology Research (8 papers), Plant Stress Responses and Tolerance (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Nana Dong collaborates with scholars based in China. Nana Dong's co-authors include Hongning Tong, Wenchao Yin, Mei Niu, Xiaoxing Zhang, Jihong Liu, Wenjing Meng, Dapu Liu, Chengcai Chu, Lulu Li and Yunhua Xiao and has published in prestigious journals such as Science, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Nana Dong

9 papers receiving 262 citations

Hit Papers

Enhancing rice panicle branching and grain yield through ... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nana Dong China 7 249 82 59 7 6 9 265
Hongzhou An China 5 184 0.7× 114 1.4× 42 0.7× 8 1.1× 5 0.8× 6 238
Ramlakhan Verma India 10 201 0.8× 85 1.0× 73 1.2× 5 0.7× 5 0.8× 29 237
Jianshu Zhu China 6 331 1.3× 140 1.7× 47 0.8× 10 1.4× 4 0.7× 10 354
Lixin Luo China 9 274 1.1× 69 0.8× 100 1.7× 13 1.9× 5 0.8× 15 295
Yanchang Luo Singapore 7 416 1.7× 60 0.7× 50 0.8× 4 0.6× 4 0.7× 15 425
Jiandi Xu China 7 157 0.6× 55 0.7× 35 0.6× 5 0.7× 4 0.7× 9 181
Eshan Sharma India 9 201 0.8× 106 1.3× 31 0.5× 8 1.1× 7 1.2× 25 248
Changling Mou China 11 403 1.6× 197 2.4× 109 1.8× 9 1.3× 5 0.8× 19 441
Pawan Kumar Jayaswal India 9 223 0.9× 44 0.5× 90 1.5× 11 1.6× 6 1.0× 17 246
De Zhu China 10 216 0.9× 63 0.8× 34 0.6× 9 1.3× 2 0.3× 21 244

Countries citing papers authored by Nana Dong

Since Specialization
Citations

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

Fields of papers citing papers by Nana Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nana Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Nana Dong. A scholar is included among the top collaborators of Nana 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 Nana Dong. Nana Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Yin, Wenchao, Nana Dong, Zefu Lu, et al.. (2025). Understanding brassinosteroid‐centric phytohormone interactions for crop improvement. Journal of Integrative Plant Biology. 67(3). 563–581. 6 indexed citations
2.
Zhang, Xiaoxing, Wenjing Meng, Zhuo Chen, et al.. (2024). Enhancing rice panicle branching and grain yield through tissue-specific brassinosteroid inhibition. Science. 383(6687). eadk8838–eadk8838. 44 indexed citations breakdown →
3.
Meng, Wenjing, Wenchao Yin, Mei Niu, et al.. (2024). Vital contribution of brassinosteroids to hypoxia-stimulated coleoptile elongation in submerged rice. The Crop Journal. 12(5). 1379–1390. 3 indexed citations
4.
Liu, Dapu, Xiaoxing Zhang, Qingliang Li, et al.. (2022). The U-box ubiquitin ligase TUD1 promotes brassinosteroid-induced GSK2 degradation in rice. Plant Communications. 4(2). 100450–100450. 28 indexed citations
5.
Niu, Mei, Hongru Wang, Wenchao Yin, et al.. (2022). Rice DWARF AND LOW-TILLERING and the homeodomain protein OSH15 interact to regulate internode elongation via orchestrating brassinosteroid signaling and metabolism. The Plant Cell. 34(10). 3754–3772. 44 indexed citations
6.
Yin, Wenchao, Lulu Li, Fan Zhang, et al.. (2022). The divergence of brassinosteroid sensitivity between rice subspecies involves natural variation conferring altered internal auto‐binding of OsBSK2. Journal of Integrative Plant Biology. 64(8). 1614–1630. 16 indexed citations
7.
Liu, Dapu, Wenchao Yin, Lulu Li, et al.. (2021). Diversification of plant agronomic traits by genome editing of brassinosteroid signaling family genes in rice. PLANT PHYSIOLOGY. 187(4). 2563–2576. 52 indexed citations
8.
Dong, Nana, Wenchao Yin, Dapu Liu, et al.. (2020). Regulation of Brassinosteroid Signaling and Salt Resistance by SERK2 and Potential Utilization for Crop Improvement in Rice. Frontiers in Plant Science. 11. 621859–621859. 42 indexed citations
9.
Yin, Wenchao, Nana Dong, Mei Niu, et al.. (2018). Brassinosteroid-regulated plant growth and development and gene expression in soybean. The Crop Journal. 7(3). 411–418. 30 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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