Jiping Gao

7.5k total citations · 3 hit papers
66 papers, 5.5k citations indexed

About

Jiping Gao is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Jiping Gao has authored 66 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 23 papers in Genetics and 22 papers in Molecular Biology. Recurrent topics in Jiping Gao's work include Genetic Mapping and Diversity in Plants and Animals (19 papers), Plant Molecular Biology Research (14 papers) and Plant Stress Responses and Tolerance (13 papers). Jiping Gao is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (19 papers), Plant Molecular Biology Research (14 papers) and Plant Stress Responses and Tolerance (13 papers). Jiping Gao collaborates with scholars based in China, United States and Hong Kong. Jiping Gao's co-authors include Hong‐Xuan Lin, Dai‐Yin Chao, Mei‐Zhen Zhu, Jun‐Xiang Shan, Min Shi, Zongyang Wang, Zhonghai Ren, Wei Huang, Xiuling Cai and Sheng Luan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jiping Gao

64 papers receiving 5.4k citations

Hit Papers

A rice quantitative trait locus for salt tolerance encode... 2005 2026 2012 2019 2005 2014 2018 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
Jiping Gao China 29 4.8k 1.8k 1.6k 406 185 66 5.5k
Weibo Xie China 43 5.6k 1.2× 2.6k 1.4× 2.6k 1.7× 180 0.4× 121 0.7× 95 6.7k
Harkamal Walia United States 37 4.2k 0.9× 926 0.5× 1.3k 0.8× 356 0.9× 175 0.9× 91 4.9k
Xiangyuan Wan China 32 3.3k 0.7× 1.3k 0.7× 1.7k 1.1× 229 0.6× 88 0.5× 102 3.9k
Guojun Dong China 39 6.9k 1.4× 3.3k 1.8× 2.5k 1.6× 259 0.6× 166 0.9× 132 7.6k
Lijun Luo China 44 7.8k 1.6× 3.9k 2.2× 1.9k 1.2× 351 0.9× 155 0.8× 175 8.6k
A. K. Singh India 39 5.3k 1.1× 1.8k 1.0× 1.3k 0.8× 211 0.5× 97 0.5× 275 5.9k
Jianlong Xu China 42 4.4k 0.9× 2.2k 1.2× 952 0.6× 231 0.6× 82 0.4× 206 4.9k
Rentao Song China 33 3.0k 0.6× 773 0.4× 2.3k 1.4× 145 0.4× 250 1.4× 103 4.1k
Dali Zeng China 48 8.3k 1.7× 3.4k 1.9× 3.2k 2.1× 518 1.3× 442 2.4× 172 9.2k

Countries citing papers authored by Jiping Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jiping Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiping Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiping Gao. A scholar is included among the top collaborators of Jiping 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 Jiping Gao. Jiping 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.
3.
Tao, Tao, Wenyu Zhou, Han Xia, et al.. (2024). Genome-wide identification of R2R3-MYB transcription factor subfamily genes involved in salt stress in rice (Oryza sativa L.). BMC Genomics. 25(1). 797–797. 13 indexed citations
4.
Wang, Xiaotang, et al.. (2024). SP110 Could be Used as a Potential Predictive and Therapeutic Biomarker for Oral Cancer. Molecular Biotechnology. 67(6). 2493–2511. 1 indexed citations
5.
Yang, Yi‐Yan, Junting Yang, Xuemin Wang, et al.. (2023). Screening and identification of miR-181a-5p in oral squamous cell carcinoma and functional verification in vivo and in vitro. BMC Cancer. 23(1). 162–162. 12 indexed citations
6.
Leng, Yujia, Tao Tao, Qingqing Yang, et al.. (2023). Mapping of QTLs for Brown Rice Traits Based on Chromosome Segment Substitution Line in Rice (Oryza sativa L.). Agriculture. 13(5). 928–928. 1 indexed citations
7.
Chen, Wenlu, et al.. (2023). Frizzled 6 mutation regulates reserpine-induced depression-like behavior and Wnt signaling pathway in mice. European Journal of Pharmacology. 957. 175996–175996. 4 indexed citations
8.
Cheng, Qian, Yuting Zhao, Feifei Wu, et al.. (2023). The abscisic acid–responsive element binding factors MAPKKK18 module regulates abscisic acid–induced leaf senescence in Arabidopsis. Journal of Biological Chemistry. 299(4). 103060–103060. 21 indexed citations
9.
Xu, Lina, Qingqing Yang, Mingqiu Zhang, et al.. (2023). High-resolution quantitative trait locus mapping for rice grain quality traits using genotyping by sequencing. Frontiers in Plant Science. 13. 1050882–1050882. 7 indexed citations
10.
Wang, Xuemin, et al.. (2022). miR‐450b promotes cell migration and invasion by inhibiting SERPINB2 in oral squamous cell carcinoma. Oral Diseases. 30(2). 376–389. 4 indexed citations
11.
Leng, Yujia, Tao Tao, Tao Song, et al.. (2022). Multi-Environmental Genetic Analysis of Grain Size Traits Based on Chromosome Segment Substitution Line in Rice (Oryza sativa L.). Phyton. 91(5). 943–958. 2 indexed citations
12.
Zhang, Mingqiu, Yujia Leng, Lina Xu, et al.. (2022). OsNAC129 Regulates Seed Development and Plant Growth and Participates in the Brassinosteroid Signaling Pathway. Frontiers in Plant Science. 13. 905148–905148. 17 indexed citations
13.
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 →
14.
Chen, Zhaoyang, et al.. (2016). Schisandrin B inhibits Th1/Th17 differentiation and promotes regulatory T cell expansion in mouse lymphocytes. International Immunopharmacology. 35. 257–264. 18 indexed citations
15.
Long-Gang, Cui, Jun‐Xiang Shan, Min Shi, Jiping Gao, & Hong‐Xuan Lin. (2014). The miR156‐SPL9‐DFR pathway coordinates the relationship between development and abiotic stress tolerance in plants. The Plant Journal. 80(6). 1108–1117. 374 indexed citations breakdown →
16.
Chen, Chen, Hao Chen, Jun‐Xiang Shan, et al.. (2012). Genetic and Physiological Analysis of a Novel Type of Interspecific Hybrid Weakness in Rice. Molecular Plant. 6(3). 716–728. 32 indexed citations
17.
Lan, Wenzhi, Wei Wang, Suo‐Min Wang, et al.. (2010). A rice high-affinity potassium transporter (HKT) conceals a calcium-permeable cation channel. Proceedings of the National Academy of Sciences. 107(15). 7089–7094. 85 indexed citations
18.
Hao, Wei, Mei‐Zhen Zhu, Jiping Gao, Shi‐Yong Sun, & Hong‐Xuan Lin. (2009). Identification of Quantitative Trait Loci for Rice Quality in a Population of Chromosome Segment Substitution Lines. Journal of Integrative Plant Biology. 51(5). 500–512. 46 indexed citations
19.
Sun, Shiyong, Dai‐Yin Chao, Xinmin Li, et al.. (2009). OsHAL3 mediates a new pathway in the light-regulated growth of rice. Nature Cell Biology. 11(7). 845–851. 42 indexed citations
20.
Xu, Chao, et al.. (2004). Comparison of quantitative trait loci controlling seedling characteristics at two seedling stages using rice recombinant inbred lines. Theoretical and Applied Genetics. 109(3). 640–647. 49 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026