Liangyong Ma

26 total papers · 463 total citations
19 papers, 254 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 19 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 19 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 and Latvia. Liangyong Ma's co-authors include Changdeng Yang, Huali Zhang, Zhijuan Ji, Jie‐Yun Zhuang, Jinsong Bao, Ximing Li, Junyu Chen, Yingwu Xia, Ruifang Yang 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 248 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Liangyong Ma	232	132	64	20	13	19	254
Tao Wu	229 1.0×	85 0.6×	169 2.6×	14 0.7×	7 0.5×	22	314
Nihat Guner	285 1.2×	164 1.2×	75 1.2×	14 0.7×	5 0.4×	19	324
Yun Long	220 0.9×	64 0.5×	194 3.0×	11 0.6×	5 0.4×	19	300
Abdelkader Morsli	197 0.8×	71 0.5×	74 1.2×	10 0.5×	10 0.8×	19	261
Hongping Yi	205 0.9×	98 0.7×	81 1.3×	10 0.5×	12 0.9×	15	257
Fernanda Leal	148 0.6×	55 0.4×	154 2.4×	9 0.5×	11 0.8×	23	331
Ranjita Thapa	187 0.8×	76 0.6×	39 0.6×	32 1.6×	4 0.3×	14	227
R. MacCormack	274 1.2×	86 0.7×	106 1.7×	13 0.7×	12 0.9×	11	300
Haikuo Fan	190 0.8×	65 0.5×	137 2.1×	7 0.3×	6 0.5×	20	332
Sung‐Hwan Jo	265 1.1×	47 0.4×	119 1.9×	14 0.7×	6 0.5×	19	319

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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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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