Li‐Xing Feng

51 total papers · 1.0k total citations
29 papers, 850 citations indexed

About

Li‐Xing Feng is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Li‐Xing Feng has authored 29 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Physiology. Recurrent topics in Li‐Xing Feng's work include Ubiquitin and proteasome pathways (4 papers), Nutrition and Health in Aging (3 papers) and Circular RNAs in diseases (3 papers). Li‐Xing Feng is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Nutrition and Health in Aging (3 papers) and Circular RNAs in diseases (3 papers). Li‐Xing Feng collaborates with scholars based in China and United States. Li‐Xing Feng's co-authors include Baohong Jiang, Min Yang, Wanying Wu, De‐an Guo, Shuhong Guan, Xiongwen Zhang, Xuan Liu, Qing‐Xi Yue, Xuan Liu and Xiaofan Gu and has published in prestigious journals such as PLoS ONE, European Journal of Pharmacology and Journal of Cellular Physiology.

In The Last Decade

Li‐Xing Feng

28 papers receiving 843 citations

Author Peers

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

Author Last Decade Papers Cites
Li‐Xing Feng 577 147 121 120 114 29 850
Hsi-Hsien Hsu 466 0.8× 99 0.7× 180 1.5× 135 1.1× 81 0.7× 33 951
Youn Kyung Choi 437 0.8× 151 1.0× 133 1.1× 92 0.8× 59 0.5× 36 946
Ying Li 466 0.8× 76 0.5× 106 0.9× 145 1.2× 72 0.6× 42 931
Varadharajan Thiyagarajan 488 0.8× 190 1.3× 96 0.8× 78 0.7× 166 1.5× 27 912
Vikram Khedgikar 598 1.0× 184 1.3× 94 0.8× 112 0.9× 58 0.5× 34 1.0k
Peng Pu 578 1.0× 105 0.7× 142 1.2× 42 0.3× 101 0.9× 39 1.0k
Marietta Kaszkin 514 0.9× 90 0.6× 131 1.1× 56 0.5× 59 0.5× 34 954
Zhong-Yan Zhou 426 0.7× 89 0.6× 81 0.7× 167 1.4× 49 0.4× 31 810
Xiangyang Yao 497 0.9× 161 1.1× 137 1.1× 75 0.6× 78 0.7× 24 944
Yingdong Lu 456 0.8× 71 0.5× 113 0.9× 73 0.6× 59 0.5× 28 843

Countries citing papers authored by Li‐Xing Feng

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Xing Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Xing Feng. 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 Li‐Xing Feng. The network helps show where Li‐Xing Feng may publish in the future.

Co-authorship network of co-authors of Li‐Xing Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Xing Feng. A scholar is included among the top collaborators of Li‐Xing Feng 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 Li‐Xing Feng. Li‐Xing Feng 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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