Liqun Ren

66 total papers · 929 total citations
35 papers, 645 citations indexed

About

Liqun Ren is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Liqun Ren has authored 35 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Surgery and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Liqun Ren's work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Liqun Ren is often cited by papers focused on Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Liqun Ren collaborates with scholars based in China, Denmark and United States. Liqun Ren's co-authors include Naifeng Liu, Naifeng Liu, Wei Qin, Long Chen, Hua Shao, Xiaomei Ren, Dengyu Chen, Yinghong Zhu, Zhongqun Wang and Yanli An and has published in prestigious journals such as Nature Communications, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Liqun Ren

31 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
Liqun Ren 240 130 111 101 99 35 645
Hu Xu 239 1.0× 91 0.7× 80 0.7× 61 0.6× 112 1.1× 39 661
Changwu Xu 341 1.4× 152 1.2× 70 0.6× 76 0.8× 118 1.2× 33 753
Eman Salah 197 0.8× 61 0.5× 64 0.6× 78 0.8× 80 0.8× 35 696
Jon Norseth 304 1.3× 151 1.2× 105 0.9× 161 1.6× 171 1.7× 35 764
Maria Warwas 143 0.6× 130 1.0× 50 0.5× 72 0.7× 88 0.9× 59 621
Saeed Nazari Soltan Ahmad 292 1.2× 63 0.5× 120 1.1× 41 0.4× 74 0.7× 32 750
Andrea Hodgkinson 264 1.1× 145 1.1× 56 0.5× 91 0.9× 41 0.4× 28 707
Hong Du 352 1.5× 136 1.0× 113 1.0× 147 1.5× 31 0.3× 35 710
Sayaka Arakawa 183 0.8× 97 0.7× 71 0.6× 216 2.1× 138 1.4× 35 728
L. Selmeci 174 0.7× 53 0.4× 122 1.1× 84 0.8× 122 1.2× 51 699

Countries citing papers authored by Liqun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Liqun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqun Ren

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