Gai Liang

38 total papers · 958 total citations
25 papers, 729 citations indexed

About

Gai Liang is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Gai Liang has authored 25 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Oncology. Recurrent topics in Gai Liang's work include Birth, Development, and Health (7 papers), Pregnancy and preeclampsia studies (3 papers) and Cancer-related molecular mechanisms research (3 papers). Gai Liang is often cited by papers focused on Birth, Development, and Health (7 papers), Pregnancy and preeclampsia studies (3 papers) and Cancer-related molecular mechanisms research (3 papers). Gai Liang collaborates with scholars based in China, France and United States. Gai Liang's co-authors include Hui Wang, Dan Xu, Jacques Magdalou, Hao Kou, Liaobin Chen, Jie Ping, Man Chen, Xiaojun Li, Benjian Zhang and Jiang Zheng and has published in prestigious journals such as PLoS ONE, Toxicology and Applied Pharmacology and Ageing Research Reviews.

In The Last Decade

Gai Liang

24 papers receiving 723 citations

Author Peers

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

Author Last Decade Papers Cites
Gai Liang 296 164 104 93 88 25 729
Valerie Jansen 194 0.7× 196 1.2× 72 0.7× 129 1.4× 45 0.5× 28 680
Li Li 112 0.4× 208 1.3× 109 1.0× 211 2.3× 51 0.6× 35 798
Teresa Vilariño‐García 153 0.5× 152 0.9× 266 2.6× 196 2.1× 64 0.7× 26 899
Xie Wu 62 0.2× 123 0.8× 92 0.9× 92 1.0× 311 3.5× 17 846
Alison Davies 147 0.5× 310 1.9× 252 2.4× 105 1.1× 207 2.4× 18 868
Paula Díaz 196 0.7× 349 2.1× 88 0.8× 190 2.0× 27 0.3× 23 867
Liliya M. Yamaleyeva 136 0.5× 154 0.9× 75 0.7× 199 2.1× 247 2.8× 38 826
Jianrong Yao 139 0.5× 155 0.9× 91 0.9× 102 1.1× 106 1.2× 32 634
Emõke Endreffy 104 0.4× 142 0.9× 67 0.6× 23 0.2× 47 0.5× 38 693
Efthymios Deligeoroglou 133 0.4× 136 0.8× 44 0.4× 139 1.5× 133 1.5× 37 891

Countries citing papers authored by Gai Liang

Since Specialization
Citations

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

Fields of papers citing papers by Gai Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gai Liang

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