Shun Liu

102 total papers · 1.1k total citations
83 papers, 782 citations indexed

About

Shun Liu is a scholar working on Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Shun Liu has authored 83 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, Toxicology and Mutagenesis, 13 papers in Pediatrics, Perinatology and Child Health and 12 papers in Molecular Biology. Recurrent topics in Shun Liu's work include Birth, Development, and Health (11 papers), Per- and polyfluoroalkyl substances research (9 papers) and Effects and risks of endocrine disrupting chemicals (9 papers). Shun Liu is often cited by papers focused on Birth, Development, and Health (11 papers), Per- and polyfluoroalkyl substances research (9 papers) and Effects and risks of endocrine disrupting chemicals (9 papers). Shun Liu collaborates with scholars based in China, Singapore and United States. Shun Liu's co-authors include Xiaoqiang Qiu, Dongping Huang, Xiaoyun Zeng, Shenghua Chen, Jun Liang, Peng Tang, Tao Liu, Qian Liao, Xiaoyun Ma and Chao Tan and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Shun Liu

76 papers receiving 771 citations

Author Peers

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

Author						Papers	Cites
Shun Liu	235	135	107	106	104	83	782
Kangkang Liu	92 0.4×	191 1.4×	110 1.0×	47 0.4×	23 0.2×	47	735
Yu Xiong	53 0.2×	221 1.6×	50 0.5×	62 0.6×	154 1.5×	70	903
Ting Jiang	104 0.4×	336 2.5×	44 0.4×	62 0.6×	51 0.5×	44	879
Lan Gao	335 1.4×	272 2.0×	66 0.6×	33 0.3×	203 2.0×	49	900
Minghui Ji	139 0.6×	235 1.7×	44 0.4×	25 0.2×	26 0.3×	54	836
Yuanyuan Li	86 0.4×	84 0.6×	33 0.3×	110 1.0×	65 0.6×	48	667
Yong Pu	305 1.3×	255 1.9×	22 0.2×	70 0.7×	76 0.7×	34	817
Toru Yamauchi	217 0.9×	123 0.9×	42 0.4×	80 0.8×	32 0.3×	52	649
J.C. Calandra	187 0.8×	148 1.1×	37 0.3×	34 0.3×	64 0.6×	55	904
Qingqing Wu	110 0.5×	158 1.2×	22 0.2×	114 1.1×	273 2.6×	80	759

Countries citing papers authored by Shun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Liu

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