Liangyong Ma

469 total citations
20 papers, 259 citations indexed

About

Liangyong Ma is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Liangyong Ma has authored 20 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 13 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Liangyong Ma's work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Rice Cultivation and Yield Improvement (12 papers) and GABA and Rice Research (9 papers). Liangyong Ma is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (13 papers), Rice Cultivation and Yield Improvement (12 papers) and GABA and Rice Research (9 papers). Liangyong Ma collaborates with scholars based in China, Australia and Cyprus. Liangyong Ma's co-authors include Changdeng Yang, Huali Zhang, Zhijuan Ji, Jie‐Yun Zhuang, Jinsong Bao, Ximing Li, Junyu Chen, Yingwu Xia, Jing Cai and Ruiqing Li and has published in prestigious journals such as The Plant Journal, International Journal of Molecular Sciences and Planta.

In The Last Decade

Liangyong Ma

18 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liangyong Ma China	11	237	132	65	20	13	20	259
Zaibao Zhang China	7	304 1.3×	154 1.2×	153 2.4×	14 0.7×	4 0.3×	10	356
Ning Hao China	9	204 0.9×	59 0.4×	135 2.1×	32 1.6×	4 0.3×	31	259
Haifu Liang China	9	187 0.8×	73 0.6×	66 1.0×	4 0.2×	13 1.0×	12	212
Yingbin Nie China	6	247 1.0×	39 0.3×	96 1.5×	10 0.5×	3 0.2×	16	285
Yul‐Kyun Ahn South Korea	10	248 1.0×	33 0.3×	106 1.6×	25 1.3×	5 0.4×	37	282
Zhiai Guo China	9	304 1.3×	95 0.7×	95 1.5×	19 0.9×	2 0.2×	11	326
Qiankun Xu China	10	326 1.4×	123 0.9×	167 2.6×	7 0.3×	2 0.2×	10	351
Xiaobo Zhu China	12	315 1.3×	99 0.8×	125 1.9×	20 1.0×	2 0.2×	20	364
Yuanjiang Cui China	8	271 1.1×	88 0.7×	141 2.2×	6 0.3×	2 0.2×	9	293

Countries citing papers authored by Liangyong Ma

Since Specialization

Citations

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

Fields of papers citing papers by Liangyong Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangyong Ma

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

All Works

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20 of 20 papers shown

Li, Ruiqing, Binqiang Wang, Shang Dai, et al.. (2025). Monoculm1 confers cold tolerance at the seedling stage in rice. Molecular Plant. 19(1). 81–99.

Zhang, Huali, Minmin Liang, Junyu Chen, Huimei Wang, & Liangyong Ma. (2024). Rapid generation of fragrant thermo-sensitive genic male sterile rice with enhanced disease resistance via CRISPR/Cas9. Planta. 259(5). 112–112.

Hu, Haifei, Junyu Chen, Chongrong Wang, et al.. (2024). A 9.5-kb deletion in the 1st intron of OsMADS51 enhances temperature sensitivity in rice. The Crop Journal. 12(4). 1031–1040. 1 indexed citations

Zhang, Huali, Lei He, Junyu Chen, et al.. (2022). Panicle Apical Abortion 7 Regulates Panicle Development in Rice (Oryza sativa L.). International Journal of Molecular Sciences. 23(16). 9487–9487. 7 indexed citations

Li, Ruiqing, et al.. (2022). OsSGT1 promotes melatonin‐ameliorated seed tolerance to chromium stress by affecting the OsABI5–OsAPX1 transcriptional module in rice. The Plant Journal. 112(1). 151–171. 26 indexed citations

Li, Ruiqing, Ruifang Yang, Junyu Chen, et al.. (2022). A silicon particle-based courier promotes melatonin-mediated seed tolerance to nickel toxicity in rice. Environmental Science Nano. 9(8). 2854–2868. 13 indexed citations

Chen, Junyu, Minmin Liang, Mingyue Wu, et al.. (2021). A 2-Mb Chromosome Inversion Interrupted Transcription of LAX2-4 and Generated Pleiotropic Phenotypes in Rice. Journal of Plant Growth Regulation. 41(6). 2328–2337. 4 indexed citations

Chen, Junyu, et al.. (2019). Limited yield advantage of early-season rice hybrids over inbreds in middle-lower reaches of the Yangtze River. Molecular Breeding. 39(7). 2 indexed citations

Dong, Qing, Zhenhua Zhang, Linlin Wang, et al.. (2018). Dissection and fine-mapping of two QTL for grain size linked in a 460-kb region on chromosome 1 of rice. Rice. 11(1). 44–44. 35 indexed citations

10.

Chen, Junyu, Hongwei Zhang, Huali Zhang, et al.. (2018). Natural variation at qHd1 affects heading date acceleration at high temperatures with pleiotropism for yield traits in rice. BMC Plant Biology. 18(1). 112–112. 29 indexed citations

11.

Zhang, Meng, Huali Zhang, Ximing Li, et al.. (2017). Identification of QTLs for rice flower opening time in two environments. Euphytica. 213(8). 5 indexed citations

12.

Cai, Jing, et al.. (2015). QTLs for rice flag leaf traits in doubled haploid populations in different environments. Genetics and Molecular Research. 14(2). 6786–6795. 14 indexed citations

13.

Zeng, Yanling, et al.. (2013). Development of 1047 insertion-deletion markers for rice genetic studies and breeding. Genetics and Molecular Research. 12(4). 5226–5235. 19 indexed citations

14.

Ma, Liangyong, et al.. (2012). Fine mapping and candidate gene analysis of LM3, a novel lesion mimic gene in rice. Biologia. 68(1). 82–90. 6 indexed citations

15.

Ji, Zhijuan, et al.. (2012). Comparison of physiological and yield traits between purple- and white-pericarp rice using SLs. Breeding Science. 62(1). 71–77. 12 indexed citations

16.

Ji, Zhijuan, et al.. (2010). Identification of QTLs for Rice Cold Tolerance at Plumule and 3-Leaf-Seedling Stages by Using QTLNetwork Software. Rice Science. 17(4). 282–287. 15 indexed citations

17.

Ma, Liangyong, Changdeng Yang, Dali Zeng, et al.. (2009). Mapping QTLs for heading synchrony in a doubled haploid population of rice in two environments. Journal of genetics and genomics. 36(5). 297–304. 17 indexed citations

18.

Ma, Liangyong, Jinsong Bao, Longbiao Guo, et al.. (2009). Quantitative Trait Loci for Panicle Layer Uniformity Identified in Doubled Haploid Lines of Rice in Two Environments. Journal of Integrative Plant Biology. 51(9). 818–824. 21 indexed citations

19.

Wang, Xiaoguang, Zhijuan Ji, Jing Cai, et al.. (2009). Construction of Near Isogenic Lines for Pericarp Color and Evaluation on Their Near isogenicity in Rice. Rice Science. 16(4). 261–266. 9 indexed citations

20.

Ma, Liangyong, Zhijuan Ji, Jinsong Bao, et al.. (2008). Responses of Rice Genotypes Carrying Different Dwarf Genes toFusarium moniliformeand Gibberellic Acid. Plant Production Science. 11(1). 134–138. 24 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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