Gaoming Chen

1.1k total citations · 1 hit paper
18 papers, 565 citations indexed

About

Gaoming Chen is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Gaoming Chen has authored 18 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 7 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Gaoming Chen's work include Rice Cultivation and Yield Improvement (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Plant nutrient uptake and metabolism (6 papers). Gaoming Chen is often cited by papers focused on Rice Cultivation and Yield Improvement (7 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Plant nutrient uptake and metabolism (6 papers). Gaoming Chen collaborates with scholars based in China, United States and Tunisia. Gaoming Chen's co-authors include Chunming Wang, Jun Yu, Yunlu Tian, Juan Sun, Weijie Tang, Jianmin Wan, Wei Xuan, Dayong Xu, Tingting Wu and Hongzhou An and has published in prestigious journals such as Nature Communications, Nature Genetics and New Phytologist.

In The Last Decade

Gaoming Chen

18 papers receiving 558 citations

Hit Papers

Genome-wide association studies identify OsWRKY53 as a ke... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaoming Chen China 11 429 194 114 32 29 18 565
Jinqiang Nian China 9 459 1.1× 166 0.9× 86 0.8× 30 0.9× 33 1.1× 10 493
Weijie Tang China 11 386 0.9× 132 0.7× 132 1.2× 18 0.6× 39 1.3× 25 479
Christophe Liseron-Monfils United States 6 381 0.9× 191 1.0× 77 0.7× 18 0.6× 31 1.1× 7 455
Shenglong Yang China 11 443 1.0× 106 0.5× 114 1.0× 28 0.9× 23 0.8× 23 499
Hongzhen Jiang China 16 717 1.7× 220 1.1× 211 1.9× 30 0.9× 32 1.1× 28 797
Weiting Huang China 8 536 1.2× 142 0.7× 73 0.6× 46 1.4× 22 0.8× 23 589
Heqin Liu China 9 561 1.3× 354 1.8× 118 1.0× 21 0.7× 26 0.9× 20 678
Wenzhu Yang China 14 496 1.2× 234 1.2× 66 0.6× 17 0.5× 25 0.9× 26 622
Zhimin Jiang China 4 377 0.9× 106 0.5× 60 0.5× 18 0.6× 40 1.4× 6 415

Countries citing papers authored by Gaoming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gaoming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaoming Chen

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

All Works

18 of 18 papers shown
1.
Li, Jin, Xu Chen, Yunlu Tian, et al.. (2025). Genome‐wide association and selection studies reveal genomic insight into saline‐alkali tolerance in rice. The Plant Journal. 121(6). e70056–e70056. 3 indexed citations
2.
Chen, Gaoming, Xinran Cheng, Chao Li, et al.. (2024). The superior allele LEA12OR in wild rice enhances salt tolerance and yield. Plant Biotechnology Journal. 22(11). 2971–2984. 4 indexed citations
3.
Dong, Oliver Xiaoou, Gaoming Chen, Weijie Tang, et al.. (2024). The elite haplotype OsGATA8-H coordinates nitrogen uptake and productive tiller formation in rice. Nature Genetics. 56(7). 1516–1526. 29 indexed citations
4.
Tang, Weijie, Jun Tang, Jing Lin, et al.. (2024). A Novel Allele in the Promoter of Wx Decreases Gene Expression and Confers Lower Apparent Amylose Contents in Japonica Rice (Oryza sativa L.). Plants. 13(5). 745–745. 2 indexed citations
5.
Yu, Jun, Chengsong Zhu, Wei Xuan, et al.. (2023). Genome-wide association studies identify OsWRKY53 as a key regulator of salt tolerance in rice. Nature Communications. 14(1). 3550–3550. 100 indexed citations breakdown →
6.
Luo, Fan, et al.. (2022). Identification of risk factors for air traffic controllers’ unsafe acts based on online reviews. International Journal of Occupational Safety and Ergonomics. 29(3). 979–988. 2 indexed citations
7.
Liu, Xiaolan, Yunlu Tian, Jun Yu, et al.. (2022). Alternative splicing of OsGS1;1 affects nitrogen‐use efficiency, grain development, and amylose content in rice. The Plant Journal. 110(6). 1751–1762. 35 indexed citations
8.
Chen, Gaoming, Wei Xuan, Pingzhi Zhao, et al.. (2022). OsTUB1 confers salt insensitivity by interacting with Kinesin13A to stabilize microtubules and ion transporters in rice. New Phytologist. 235(5). 1836–1852. 19 indexed citations
9.
Luo, Fan, et al.. (2022). Risk early warning indicators for air traffic controllers' unsafe acts. Human Factors and Ergonomics in Manufacturing & Service Industries. 32(3). 286–300. 1 indexed citations
10.
Luo, Fan, et al.. (2021). Application of HFACS and grounded theory for identifying risk factors of air traffic controllers’ unsafe acts. International Journal of Industrial Ergonomics. 86. 103228–103228. 33 indexed citations
11.
Yu, Jun, Wei Xuan, Yunlu Tian, et al.. (2020). Enhanced OsNLP4‐OsNiR cascade confers nitrogen use efficiency by promoting tiller number in rice. Plant Biotechnology Journal. 19(1). 167–176. 102 indexed citations
12.
Zhou, Cong, Gaoming Chen, Jun Yu, et al.. (2020). Heterosis-associated genes confer high yield in super hybrid rice. Theoretical and Applied Genetics. 133(12). 3287–3297. 19 indexed citations
13.
Zhang, Wenwei, Kai Wen, Gaoming Chen, et al.. (2017). OsPPR6, a pentatricopeptide repeat protein involved in editing and splicing chloroplast RNA, is required for chloroplast biogenesis in rice. Plant Molecular Biology. 95(4-5). 345–357. 75 indexed citations
14.
Sun, Juan, Tianhui Zheng, Jun Yu, et al.. (2017). TSV, a putative plastidic oxidoreductase, protects rice chloroplasts from cold stress during development by interacting with plastidic thioredoxin Z. New Phytologist. 215(1). 240–255. 53 indexed citations
15.
Liu, Zhiyi, Chengsong Zhu, Yue Jiang, et al.. (2016). Association mapping and genetic dissection of nitrogen use efficiency-related traits in rice (Oryza sativa L.). Functional & Integrative Genomics. 16(3). 323–333. 30 indexed citations
16.
Tang, Weijie, Tingting Wu, Jian Ye, et al.. (2016). SNP-based analysis of genetic diversity reveals important alleles associated with seed size in rice. BMC Plant Biology. 16(1). 128–128. 48 indexed citations
17.
Li, Yong, et al.. (2015). An Improved Decoding Algorithm of the (71, 36, 11) Quadratic Residue Code Without Determining Unknown Syndromes. IEEE Transactions on Communications. 63(12). 4607–4614. 6 indexed citations
18.
Zhang, Hai‐Tao, Xiaomin Zhang, & Gaoming Chen. (2011). Performance analysis of IEEE802.11 DCF in non-saturated conditions. 495–498. 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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