Liping Zhai

68 total papers · 946 total citations
43 papers, 739 citations indexed

About

Liping Zhai is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Liping Zhai has authored 43 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Neurology and 7 papers in Immunology. Recurrent topics in Liping Zhai's work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Tryptophan and brain disorders (6 papers) and Inflammasome and immune disorders (6 papers). Liping Zhai is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Tryptophan and brain disorders (6 papers) and Inflammasome and immune disorders (6 papers). Liping Zhai collaborates with scholars based in China. Liping Zhai's co-authors include Qiaobing Guan, Heping Shen, Chenyang Han, Yongjia Sheng, Hongyan Pei, Yanling Gu, Yanan Hao, Xiaoling Zhang, Chao Yuan and Yi Yang and has published in prestigious journals such as PLANT PHYSIOLOGY, Plant Cell & Environment and Ecotoxicology and Environmental Safety.

In The Last Decade

Liping Zhai

41 papers receiving 734 citations

Author Peers

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

Author Last Decade Papers Cites
Liping Zhai 407 148 147 123 98 43 739
Jianming Liao 441 1.1× 133 0.9× 183 1.2× 131 1.1× 96 1.0× 26 826
Shaowu Cheng 405 1.0× 139 0.9× 184 1.3× 54 0.4× 137 1.4× 41 887
Muhammed A. Saad 318 0.8× 94 0.6× 118 0.8× 69 0.6× 57 0.6× 45 878
Peng Zeng 322 0.8× 109 0.7× 170 1.2× 69 0.6× 63 0.6× 59 881
Qingjie Chen 350 0.9× 120 0.8× 164 1.1× 97 0.8× 53 0.5× 42 862
Shi‐Xun Ma 324 0.8× 78 0.5× 130 0.9× 56 0.5× 80 0.8× 56 901
Shasha Bai 321 0.8× 96 0.6× 141 1.0× 148 1.2× 51 0.5× 38 876
Yi Chang 224 0.6× 144 1.0× 100 0.7× 83 0.7× 65 0.7× 36 824
Zuohui Zhang 355 0.9× 226 1.5× 121 0.8× 80 0.7× 55 0.6× 34 733
Yan Zhou 309 0.8× 181 1.2× 68 0.5× 55 0.4× 107 1.1× 41 783

Countries citing papers authored by Liping Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Liping Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liping Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Liping Zhai. A scholar is included among the top collaborators of Liping Zhai 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 Liping Zhai. Liping Zhai 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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2026