Ruxing Zhao

53 total papers · 1.0k total citations
28 papers, 591 citations indexed

About

Ruxing Zhao is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Ruxing Zhao has authored 28 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Surgery. Recurrent topics in Ruxing Zhao's work include Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Ruxing Zhao is often cited by papers focused on Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Ruxing Zhao collaborates with scholars based in China, United States and Czechia. Ruxing Zhao's co-authors include Li Chen, Xinguo Hou, Wenjuan Li, Lingshu Wang, Tianyi He, Zheng Sun, Jun Song, Kai Liang, Qin He and Lei Sun and has published in prestigious journals such as PLoS ONE, Trends in Neurosciences and Frontiers in Immunology.

In The Last Decade

Ruxing Zhao

27 papers receiving 585 citations

Author Peers

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

Author Last Decade Papers Cites
Ruxing Zhao 181 143 125 117 110 28 591
Liang‐Yi Si 179 1.0× 169 1.2× 77 0.6× 75 0.6× 52 0.5× 29 659
Machiko Kambayashi 175 1.0× 138 1.0× 92 0.7× 70 0.6× 235 2.1× 23 586
Elettra Mancuso 213 1.2× 154 1.1× 119 1.0× 74 0.6× 110 1.0× 24 671
Lourdes Garrido‐Sánchez 219 1.2× 251 1.8× 170 1.4× 85 0.7× 127 1.2× 31 680
Alberto Zullo 295 1.6× 112 0.8× 75 0.6× 103 0.9× 55 0.5× 32 653
Jing-Cheng Li 185 1.0× 86 0.6× 155 1.2× 93 0.8× 49 0.4× 27 632
Giuseppe Labruna 230 1.3× 208 1.5× 144 1.2× 81 0.7× 45 0.4× 27 679
Qianhui Shang 170 0.9× 160 1.1× 85 0.7× 96 0.8× 60 0.5× 30 601
Laura Braud 275 1.5× 131 0.9× 129 1.0× 95 0.8× 58 0.5× 18 684
Quan Pan 337 1.9× 140 1.0× 109 0.9× 98 0.8× 134 1.2× 34 644

Countries citing papers authored by Ruxing Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ruxing Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruxing Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ruxing Zhao. A scholar is included among the top collaborators of Ruxing Zhao 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 Ruxing Zhao. Ruxing Zhao 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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2026