Hai Liao

77 total papers · 909 total citations
50 papers, 647 citations indexed

About

Hai Liao is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hai Liao has authored 50 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Oncology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hai Liao's work include Plant biochemistry and biosynthesis (7 papers), Insect Resistance and Genetics (5 papers) and Colorectal Cancer Treatments and Studies (4 papers). Hai Liao is often cited by papers focused on Plant biochemistry and biosynthesis (7 papers), Insect Resistance and Genetics (5 papers) and Colorectal Cancer Treatments and Studies (4 papers). Hai Liao collaborates with scholars based in China, United States and Taiwan. Hai Liao's co-authors include Jiayu Zhou, Danke Su, Qiankun Zhu, Tao Wu, Shufen Han, Xiaodong Duan, Jian Zhang, Songjie Shen, Run Huang and Qiang Sun and has published in prestigious journals such as Journal of Clinical Oncology, Chemical Engineering Journal and International Journal of Molecular Sciences.

In The Last Decade

Hai Liao

47 papers receiving 639 citations

Author Peers

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

Author Last Decade Papers Cites
Hai Liao 261 128 114 84 71 50 647
Jinghui Lu 225 0.9× 109 0.9× 36 0.3× 51 0.6× 92 1.3× 44 659
Xia Huang 348 1.3× 87 0.7× 47 0.4× 46 0.5× 37 0.5× 51 781
Ruiping Liu 344 1.3× 70 0.5× 51 0.4× 22 0.3× 27 0.4× 57 787
Yousef M. Hawsawi 300 1.1× 129 1.0× 33 0.3× 56 0.7× 28 0.4× 49 702
Yulan Zeng 191 0.7× 190 1.5× 45 0.4× 134 1.6× 112 1.6× 39 623
Yuna Park 351 1.3× 172 1.3× 40 0.4× 93 1.1× 68 1.0× 63 746
Hongbo Zhao 316 1.2× 79 0.6× 40 0.4× 51 0.6× 31 0.4× 66 675
Qian Feng 364 1.4× 103 0.8× 71 0.6× 104 1.2× 35 0.5× 51 770
Deepu Alex 219 0.8× 193 1.5× 55 0.5× 247 2.9× 24 0.3× 30 755
Xiaoyong Shen 207 0.8× 140 1.1× 79 0.7× 124 1.5× 149 2.1× 45 598

Countries citing papers authored by Hai Liao

Since Specialization
Citations

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

Fields of papers citing papers by Hai Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Liao

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