Mengxia Fu

34 total papers · 494 total citations
26 papers, 291 citations indexed

About

Mengxia Fu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mengxia Fu has authored 26 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mengxia Fu's work include Cardiovascular Disease and Adiposity (7 papers), Adipose Tissue and Metabolism (4 papers) and Global Cancer Incidence and Screening (4 papers). Mengxia Fu is often cited by papers focused on Cardiovascular Disease and Adiposity (7 papers), Adipose Tissue and Metabolism (4 papers) and Global Cancer Incidence and Screening (4 papers). Mengxia Fu collaborates with scholars based in China, United States and Switzerland. Mengxia Fu's co-authors include Lian Xu, Cheng‐Chao Ruan, Maoqing Ye, Pingjin Gao, Xiaohong Chen, Jiangping Song, Dongrui Chen, Weiqing Han, Songren Shu and Ling‐Ran Kong and has published in prestigious journals such as Nature Communications, Diabetes and Journal of Neurochemistry.

In The Last Decade

Mengxia Fu

22 papers receiving 288 citations

Author Peers

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

Author Last Decade Papers Cites
Mengxia Fu 148 83 68 63 48 26 291
Heng-Chen Yao 121 0.8× 93 1.1× 57 0.8× 32 0.5× 51 1.1× 36 328
Yu Han 96 0.6× 76 0.9× 76 1.1× 59 0.9× 33 0.7× 25 298
Ana Devesa 112 0.8× 57 0.7× 55 0.8× 33 0.5× 50 1.0× 29 316
Ben Ma 101 0.7× 148 1.8× 28 0.4× 60 1.0× 29 0.6× 20 323
Guangyu Hu 55 0.4× 163 2.0× 55 0.8× 93 1.5× 34 0.7× 21 322
Xin-zheng Lu 109 0.7× 124 1.5× 53 0.8× 35 0.6× 26 0.5× 31 319
Kay Maeda 72 0.5× 91 1.1× 54 0.8× 40 0.6× 19 0.4× 20 310
Julia Pohl 129 0.9× 42 0.5× 57 0.8× 34 0.5× 27 0.6× 21 307
Simone Gorreßen 132 0.9× 114 1.4× 45 0.7× 54 0.9× 24 0.5× 26 324
Konstantin Balonov 65 0.4× 50 0.6× 44 0.6× 39 0.6× 45 0.9× 15 200

Countries citing papers authored by Mengxia Fu

Since Specialization
Citations

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

Fields of papers citing papers by Mengxia Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengxia Fu

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