Yanqiang Gao

3.0k total citations · 2 hit papers
31 papers, 2.2k citations indexed

About

Yanqiang Gao is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Yanqiang Gao has authored 31 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 19 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Yanqiang Gao's work include Plant Stress Responses and Tolerance (12 papers), Plant Gene Expression Analysis (9 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Yanqiang Gao is often cited by papers focused on Plant Stress Responses and Tolerance (12 papers), Plant Gene Expression Analysis (9 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Yanqiang Gao collaborates with scholars based in China, France and Australia. Yanqiang Gao's co-authors include Wei Chen, Xianqing Liu, Liang Gong, Jie Luo, Hongyan Zhang, Sibin Yu, Wensheng Wang, Ning Tang, Xiang Li and Jie Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Yanqiang Gao

31 papers receiving 2.2k citations

Hit Papers

Genome-wide association a... 2014 2026 2018 2022 2014 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanqiang Gao China 16 1.4k 1.2k 532 242 126 31 2.2k
Nai‐Qian Dong China 14 1.8k 1.3× 1.1k 0.9× 525 1.0× 112 0.5× 99 0.8× 17 2.3k
Guangtao Zhu China 17 1.7k 1.1× 1.1k 0.9× 326 0.6× 209 0.9× 329 2.6× 42 2.3k
Pasquale Tripodi Italy 20 1.3k 0.9× 550 0.4× 230 0.4× 232 1.0× 154 1.2× 60 1.7k
Joseph Burger Israel 19 755 0.5× 818 0.7× 375 0.7× 398 1.6× 149 1.2× 28 1.4k
Ilse Balbo Germany 18 1.4k 1.0× 1.5k 1.2× 240 0.5× 110 0.5× 93 0.7× 18 2.3k
Sanghyeob Lee South Korea 24 1.7k 1.1× 893 0.7× 238 0.4× 85 0.4× 38 0.3× 72 2.0k
Mingjun Gao China 23 2.0k 1.4× 1.6k 1.3× 106 0.2× 191 0.8× 215 1.7× 42 2.7k
Min Shi China 17 1.5k 1.1× 879 0.7× 148 0.3× 70 0.3× 102 0.8× 25 1.9k
Rongxin Shen China 18 2.0k 1.4× 1.8k 1.4× 414 0.8× 73 0.3× 42 0.3× 26 2.7k
Nirala Ramchiary India 26 1.1k 0.8× 613 0.5× 216 0.4× 60 0.2× 109 0.9× 61 1.5k

Countries citing papers authored by Yanqiang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yanqiang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqiang Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yanqiang Gao. A scholar is included among the top collaborators of Yanqiang Gao 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 Yanqiang Gao. Yanqiang Gao 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
2.
Li, Jīng, et al.. (2025). Glycine betaine and plant abiotic stresses: Unravelling physiological and molecular responses. Plant Science. 355. 112479–112479. 2 indexed citations
4.
Guan, Le, Yang Wang, Ruiqi Gao, et al.. (2024). Multi‐Omics Analyses Offer Novel Insights into the Selection of Sugar and Lipid Metabolism During Maize Domestication and Improvement. Plant Cell & Environment. 48(3). 2377–2395. 1 indexed citations
5.
Gao, Yanqiang, Jing Zhang, Cheng Wang, et al.. (2024). Comprehensively assessing the effects of exogenous proline on nutritional and flavour quality of celery (Apium graveolens L.) under salt stress. Scientia Horticulturae. 339. 113847–113847. 2 indexed citations
7.
Zhang, Zeyu, et al.. (2024). Characterization of GPX Gene Family in Pepper (Capsicum annuum L.) under Abiotic Stress and ABA Treatment. International Journal of Molecular Sciences. 25(15). 8343–8343. 5 indexed citations
8.
Gao, Yanqiang, Jing Zhang, Cheng Wang, et al.. (2023). Exogenous Proline Enhances Systemic Defense against Salt Stress in Celery by Regulating Photosystem, Phenolic Compounds, and Antioxidant System. Plants. 12(4). 928–928. 32 indexed citations
9.
Niu, Tianhang, Jing Zhang, Jing Li, et al.. (2023). Effects of exogenous glycine betaine and cycloleucine on photosynthetic capacity, amino acid composition, and hormone metabolism in Solanum melongena L.. Scientific Reports. 13(1). 7626–7626. 11 indexed citations
10.
Wang, Cheng, Jing Zhang, Jianming Xie, et al.. (2022). Effects of Preharvest Methyl Jasmonate and Salicylic Acid Treatments on Growth, Quality, Volatile Components, and Antioxidant Systems of Chinese Chives. Frontiers in Plant Science. 12. 767335–767335. 30 indexed citations
11.
Zou, Jian, Ning Li, Nan Hu, et al.. (2022). Co-silencing of ABA receptors (SlRCAR) reveals interactions between ABA and ethylene signaling during tomato fruit ripening. Horticulture Research. 9. 38 indexed citations
12.
Tang, Ning, Jing An, Wei Deng, et al.. (2020). Metabolic and transcriptional regulatory mechanism associated with postharvest fruit ripening and senescence in cherry tomatoes. Postharvest Biology and Technology. 168. 111274–111274. 51 indexed citations
13.
Cao, Haohao, Jing Chen, Min Yue, et al.. (2020). Tomato transcriptional repressor MYB70 directly regulates ethylene‐dependent fruit ripening. The Plant Journal. 104(6). 1568–1581. 73 indexed citations
14.
Wei, Jian, Haohao Cao, Shu Yuan, et al.. (2019). SlMYB75, an MYB-type transcription factor, promotes anthocyanin accumulation and enhances volatile aroma production in tomato fruits. Horticulture Research. 6(1). 22–22. 243 indexed citations
15.
Zou, Jian, Jing Chen, Ning Tang, et al.. (2017). Transcriptome analysis of aroma volatile metabolism change in tomato (Solanum lycopersicum) fruit under different storage temperatures and 1-MCP treatment. Postharvest Biology and Technology. 135. 57–67. 67 indexed citations
16.
Meng, Peng, Yanqiang Gao, Wei Chen, et al.. (2016). Evolutionarily Distinct BAHD N-acyltransferases are Responsible for Natural Variation of Aromatic Amine Conjugates in Rice. The Plant Cell. 28(7). tpc.00265.2016–tpc.00265.2016. 64 indexed citations
17.
Chen, Wei, Wensheng Wang, Peng Meng, et al.. (2016). Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals. Nature Communications. 7(1). 12767–12767. 211 indexed citations
18.
Dong, Xuekui, Yanqiang Gao, Wei Chen, et al.. (2015). Spatiotemporal Distribution of Phenolamides and the Genetics of Natural Variation of Hydroxycinnamoyl Spermidine in Rice. Molecular Plant. 8(1). 111–121. 106 indexed citations
19.
Wen, Weiwei, Dong Li, Xiang Li, et al.. (2014). Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights. Nature Communications. 5(1). 3438–3438. 387 indexed citations breakdown →
20.
Gong, Liang, Wei Chen, Yanqiang Gao, et al.. (2013). Genetic analysis of the metabolome exemplified using a rice population. Proceedings of the National Academy of Sciences. 110(50). 20320–20325. 137 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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