Liang Gu

43 total papers · 1.1k total citations
36 papers, 880 citations indexed

About

Liang Gu is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Liang Gu has authored 36 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Organic Chemistry. Recurrent topics in Liang Gu's work include Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (5 papers) and MicroRNA in disease regulation (4 papers). Liang Gu is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (5 papers) and MicroRNA in disease regulation (4 papers). Liang Gu collaborates with scholars based in China, South Africa and United States. Liang Gu's co-authors include Thomas R. Ziegler, Dean P. Jones, Carolyn R. Jonas, Mandeep Kaur, Xu Xu, Decheng Bi, Parvesh Singh, Sourav Saha, Hong Xu and Vipan Kumar and has published in prestigious journals such as Gastroenterology, Journal of Agricultural and Food Chemistry and Free Radical Biology and Medicine.

In The Last Decade

Liang Gu

34 papers receiving 875 citations

Author Peers

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

Author Last Decade Papers Cites
Liang Gu 412 149 104 96 85 36 880
Hye‐Eun Choi 420 1.0× 119 0.8× 104 1.0× 79 0.8× 31 0.4× 33 855
Jin Won Yang 594 1.4× 53 0.4× 50 0.5× 123 1.3× 44 0.5× 37 1.0k
G Bartolini 418 1.0× 132 0.9× 54 0.5× 78 0.8× 44 0.5× 45 891
Francisco J.G. Muriana 249 0.6× 131 0.9× 122 1.2× 51 0.5× 246 2.9× 40 953
Mario D’Ambrosio 342 0.8× 103 0.7× 46 0.4× 39 0.4× 49 0.6× 44 948
Wentao Liu 346 0.8× 151 1.0× 127 1.2× 61 0.6× 131 1.5× 47 1.0k
Naveena B. Janakiram 317 0.8× 57 0.4× 44 0.4× 168 1.8× 28 0.3× 28 796
Irma Colombo 555 1.3× 43 0.3× 70 0.7× 87 0.9× 75 0.9× 36 984
R. von Hugo 281 0.7× 82 0.6× 83 0.8× 50 0.5× 33 0.4× 37 966
Changfeng Hu 450 1.1× 245 1.6× 47 0.5× 35 0.4× 73 0.9× 38 992

Countries citing papers authored by Liang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Gu

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