Gehao Liang

41 total papers · 1.4k total citations
29 papers, 1.1k citations indexed

About

Gehao Liang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gehao Liang has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Gehao Liang's work include Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Gehao Liang is often cited by papers focused on Circular RNAs in diseases (7 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Gehao Liang collaborates with scholars based in China, United Kingdom and France. Gehao Liang's co-authors include Chang Gong, Weige Tan, Zihao Liu, Erwei Song, Luyuan Tan, Yun Ling, Wenjing Zhong, You Zhou, Bodu Liu and Shaohua Qu and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Gehao Liang

26 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Gehao Liang 889 840 131 122 43 29 1.1k
Nan Wang 969 1.1× 831 1.0× 113 0.9× 97 0.8× 54 1.3× 33 1.2k
Jing Chen 1.0k 1.2× 790 0.9× 143 1.1× 79 0.6× 31 0.7× 49 1.3k
Barbara Pasculli 840 0.9× 720 0.9× 121 0.9× 87 0.7× 35 0.8× 23 1.0k
Shengjie Wang 803 0.9× 585 0.7× 134 1.0× 74 0.6× 36 0.8× 38 1.0k
Jessica Bowers 959 1.1× 860 1.0× 75 0.6× 95 0.8× 31 0.7× 22 1.2k
Erhu Fang 912 1.0× 659 0.8× 107 0.8× 77 0.6× 36 0.8× 29 1.1k
Huajie Song 1.0k 1.2× 790 0.9× 100 0.8× 64 0.5× 39 0.9× 29 1.2k
Xiyi Lu 780 0.9× 693 0.8× 62 0.5× 82 0.7× 55 1.3× 29 996
Francesca Fanini 877 1.0× 714 0.8× 157 1.2× 89 0.7× 33 0.8× 25 1.1k
David Blanco 1.0k 1.1× 751 0.9× 151 1.2× 157 1.3× 41 1.0× 18 1.3k

Countries citing papers authored by Gehao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Gehao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gehao Liang

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