Li Liao

47 total papers · 717 total citations
33 papers, 211 citations indexed

About

Li Liao is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Li Liao has authored 33 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Ecology, Evolution, Behavior and Systematics and 10 papers in Plant Science. Recurrent topics in Li Liao's work include Genetic diversity and population structure (7 papers), Plant Taxonomy and Phylogenetics (4 papers) and Turfgrass Adaptation and Management (4 papers). Li Liao is often cited by papers focused on Genetic diversity and population structure (7 papers), Plant Taxonomy and Phylogenetics (4 papers) and Turfgrass Adaptation and Management (4 papers). Li Liao collaborates with scholars based in China, United States and Pakistan. Li Liao's co-authors include Zhiyong Wang, Zuozhou Li, Yuanyuan Chen, Jianxiu Liu, Wei Li, Hailin Guo, Zaibiao Zhu, Huibo Luo, Dan Huang and Yong‐Ming Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Li Liao

30 papers receiving 210 citations

Author Peers

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

Author						Papers	Cites
Li Liao	79	53	36	33	26	33	211
R. Krishnan	160 2.0×	80 1.5×	26 0.7×	46 1.4×	21 0.8×	51	280
Yukai Chen	32 0.4×	51 1.0×	10 0.3×	14 0.4×	9 0.3×	26	157
Meiling Liu	79 1.0×	85 1.6×	7 0.2×	12 0.4×	24 0.9×	17	215
Zhihui Chang	197 2.5×	85 1.6×	16 0.4×	18 0.5×	4 0.2×	23	255
Alvin V. Beatty	165 2.1×	115 2.2×	15 0.4×	30 0.9×	29 1.1×	32	285
Md. Saiful Islam	155 2.0×	45 0.8×	6 0.2×	15 0.5×	5 0.2×	22	267
Fuchun Xie	178 2.3×	48 0.9×	4 0.1×	13 0.4×	31 1.2×	24	241
А. Б. Холина	130 1.6×	115 2.2×	111 3.1×	168 5.1×	20 0.8×	40	283
Zhumei Li	104 1.3×	68 1.3×	36 1.0×	43 1.3×	2 0.1×	26	287
И. А. Максимова	81 1.0×	122 2.3×	21 0.6×	50 1.5×	3 0.1×	35	281

Countries citing papers authored by Li Liao

Since Specialization

Citations

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

Fields of papers citing papers by Li Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Li Liao. A scholar is included among the top collaborators of Li Liao 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 Li Liao. Li Liao 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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