Nai‐Qian Dong

3.7k total citations · 3 hit papers
17 papers, 2.3k citations indexed

About

Nai‐Qian Dong is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Nai‐Qian Dong has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 9 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Nai‐Qian Dong's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Plant Molecular Biology Research (7 papers) and Plant nutrient uptake and metabolism (4 papers). Nai‐Qian Dong is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Plant Molecular Biology Research (7 papers) and Plant nutrient uptake and metabolism (4 papers). Nai‐Qian Dong collaborates with scholars based in China and United States. Nai‐Qian Dong's co-authors include Hong‐Xuan Lin, Wang‐Wei Ye, Jun‐Xiang Shan, Tao Guo, Chuanlin Shi, Ke Chen, Jiping Gao, Zi‐Qi Lu, Yi‐Bing Yang and Yi Kan and has published in prestigious journals such as Nature Communications, Nature Genetics and The Plant Cell.

In The Last Decade

Nai‐Qian Dong

16 papers receiving 2.3k citations

Hit Papers

Contribution of phenylpropanoid metabolism to plant devel... 2018 2026 2020 2023 2020 2018 2020 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nai‐Qian Dong China 14 1.8k 1.1k 525 112 99 17 2.3k
Hiroyuki Fukuoka Japan 33 2.8k 1.5× 1.5k 1.4× 538 1.0× 104 0.9× 116 1.2× 82 3.3k
Yunjun Liu China 24 1.6k 0.9× 1.1k 1.0× 541 1.0× 55 0.5× 59 0.6× 59 2.2k
Qingchang Liu China 34 2.8k 1.5× 1.7k 1.6× 267 0.5× 197 1.8× 134 1.4× 119 3.4k
Yanqiang Gao China 16 1.4k 0.8× 1.2k 1.2× 532 1.0× 242 2.2× 126 1.3× 31 2.2k
Gongwei Wang China 23 2.4k 1.3× 955 0.9× 1.4k 2.6× 97 0.9× 81 0.8× 33 3.0k
Zehong Ding China 28 2.1k 1.1× 1.0k 1.0× 349 0.7× 93 0.8× 69 0.7× 67 2.4k
Gabriella Sonnante Italy 29 2.0k 1.1× 600 0.6× 203 0.4× 88 0.8× 145 1.5× 87 2.5k
Ezio Portis Italy 36 2.7k 1.5× 980 0.9× 650 1.2× 160 1.4× 165 1.7× 128 3.3k
Apichart Vanavichit Thailand 28 1.8k 1.0× 460 0.4× 543 1.0× 58 0.5× 121 1.2× 100 2.1k
Kede Liu China 37 3.5k 1.9× 2.8k 2.6× 952 1.8× 126 1.1× 64 0.6× 89 4.5k

Countries citing papers authored by Nai‐Qian Dong

Since Specialization
Citations

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

Fields of papers citing papers by Nai‐Qian Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nai‐Qian Dong

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

All Works

17 of 17 papers shown
1.
Lu, Zi‐Qi, Tao Guo, Yingjie Cao, et al.. (2025). Rice SINA E3 ligases dichotomously control ERECTA1 ubiquitination and stability to regulate panicle morphogenesis and grain yield. Molecular Plant. 19(1). 172–190.
2.
Zhao, Huai‐Yu, Jun‐Xiang Shan, Wang‐Wei Ye, et al.. (2024). A QTL GN1.1, encoding FT‐L1, regulates grain number and yield by modulating polar auxin transport in rice. Journal of Integrative Plant Biology. 66(10). 2158–2174. 4 indexed citations
3.
Yu, Hong‐Xiao, Yingjie Cao, Yibing Yang, et al.. (2024). A TT1–SCE1 module integrates ubiquitination and SUMOylation to regulate heat tolerance in rice. Molecular Plant. 17(12). 1899–1918. 10 indexed citations
4.
Guo, Tao, Zi‐Qi Lu, Yehui Xiong, et al.. (2023). Optimization of rice panicle architecture by specifically suppressing ligand–receptor pairs. Nature Communications. 14(1). 1640–1640. 35 indexed citations
5.
Yu, Jiajun, Ben Liao, Jun‐Xiang Shan, et al.. (2022). An α/β hydrolase family member negatively regulates salt tolerance but promotes flowering through three distinct functions in rice. Molecular Plant. 15(12). 1908–1930. 20 indexed citations
6.
Zhang, Yimin, Hong‐Xiao Yu, Wang‐Wei Ye, et al.. (2021). A rice QTL GS3.1 regulates grain size through metabolic-flux distribution between flavonoid and lignin metabolons without affecting stress tolerance. Communications Biology. 4(1). 1171–1171. 27 indexed citations
7.
Shi, Chuanlin, Nai‐Qian Dong, Tao Guo, et al.. (2020). A quantitative trait locus GW6 controls rice grain size and yield through the gibberellin pathway. The Plant Journal. 103(3). 1174–1188. 108 indexed citations
8.
Dong, Nai‐Qian, Yuwei Sun, Tao Guo, et al.. (2020). UDP-glucosyltransferase regulates grain size and abiotic stress tolerance associated with metabolic flux redirection in rice. Nature Communications. 11(1). 2629–2629. 240 indexed citations breakdown →
9.
Guo, Tao, Zi‐Qi Lu, Jun‐Xiang Shan, et al.. (2020). ERECTA1 Acts Upstream of the OsMKKK10-OsMKK4-OsMPK6 Cascade to Control Spikelet Number by Regulating Cytokinin Metabolism in Rice. The Plant Cell. 32(9). 2763–2779. 129 indexed citations
10.
Dong, Nai‐Qian & Hong‐Xuan Lin. (2020). Contribution of phenylpropanoid metabolism to plant development and plant–environment interactions. Journal of Integrative Plant Biology. 63(1). 180–209. 1054 indexed citations breakdown →
11.
Chen, Ke, Tao Guo, Xinmin Li, et al.. (2019). NAL8 encodes a prohibitin that contributes to leaf and spikelet development by regulating mitochondria and chloroplasts stability in rice. BMC Plant Biology. 19(1). 395–395. 14 indexed citations
12.
Guo, Tao, Hua‐Chang Chen, Zi‐Qi Lu, et al.. (2019). A SAC Phosphoinositide Phosphatase Controls Rice Development via Hydrolyzing PI4P and PI(4,5)P2. PLANT PHYSIOLOGY. 182(3). 1346–1358. 18 indexed citations
13.
Chen, Ke, Tao Guo, Xinmin Li, et al.. (2019). Translational Regulation of Plant Response to High Temperature by a Dual-Function tRNAHis Guanylyltransferase in Rice. Molecular Plant. 12(8). 1123–1142. 55 indexed citations
14.
Guo, Tao, Ke Chen, Nai‐Qian Dong, et al.. (2019). Tillering and small grain 1 dominates the tryptophan aminotransferase family required for local auxin biosynthesis in rice. Journal of Integrative Plant Biology. 62(5). 581–600. 50 indexed citations
15.
Guo, Tao, Ke Chen, Nai‐Qian Dong, et al.. (2018). GRAIN SIZE AND NUMBER1 Negatively Regulates the OsMKKK10-OsMKK4-OsMPK6 Cascade to Coordinate the Trade-off between Grain Number per Panicle and Grain Size in Rice. The Plant Cell. 30(4). 871–888. 244 indexed citations breakdown →
16.
Li, Xinmin, Dai‐Yin Chao, Yuan Wu, et al.. (2015). Natural alleles of a proteasome α2 subunit gene contribute to thermotolerance and adaptation of African rice. Nature Genetics. 47(7). 827–833. 267 indexed citations
17.
Zhao, Haiming, et al.. (2013). Quantitative trait loci mapping for plant architecture traits across two upland cotton populations using SSR markers. The Journal of Agricultural Science. 152(2). 275–287. 13 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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