Liqun Gu

107 total papers · 911 total citations
26 papers, 670 citations indexed

About

Liqun Gu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Liqun Gu has authored 26 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Oncology. Recurrent topics in Liqun Gu's work include Cancer-related molecular mechanisms research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Reproductive tract infections research (2 papers). Liqun Gu is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Reproductive tract infections research (2 papers). Liqun Gu collaborates with scholars based in United States, China and Canada. Liqun Gu's co-authors include Zhangui Tang, Samuel R. Newcom, Qian Peng, Hao Pan, Margaret A. Shipp, Jon C. Aster, Jeffery L. Kutok, Kunihiko Takeyama, Gordon J. Freeman and Ricardo C.T. Aguiar and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Liqun Gu

24 papers receiving 657 citations

Author Peers

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

Author Last Decade Papers Cites
Liqun Gu 360 203 103 102 64 26 670
Samuel D. Balk 426 1.2× 128 0.6× 67 0.7× 56 0.5× 45 0.7× 24 790
Smita Misra 366 1.0× 128 0.6× 94 0.9× 36 0.4× 65 1.0× 31 565
V. K. Hopsu‐Havu 232 0.6× 186 0.9× 91 0.9× 71 0.7× 64 1.0× 39 640
Andreas P. Kyriazis 271 0.8× 317 1.6× 150 1.5× 62 0.6× 94 1.5× 32 744
Sébastien de Feraudy 278 0.8× 173 0.9× 114 1.1× 75 0.7× 96 1.5× 32 653
Lenka Kubiczková 476 1.3× 216 1.1× 157 1.5× 106 1.0× 56 0.9× 17 776
Manish Kumar 356 1.0× 196 1.0× 170 1.7× 92 0.9× 80 1.3× 32 735
Evan H. Baugh 444 1.2× 218 1.1× 153 1.5× 36 0.4× 78 1.2× 14 710
Patrick B. Lappin 291 0.8× 174 0.9× 92 0.9× 136 1.3× 88 1.4× 26 672
Joseph Briggs 411 1.1× 175 0.9× 79 0.8× 61 0.6× 95 1.5× 17 652

Countries citing papers authored by Liqun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Liqun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqun Gu

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