Xuesen Wu

41 total papers · 773 total citations
26 papers, 571 citations indexed

About

Xuesen Wu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xuesen Wu has authored 26 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xuesen Wu's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (3 papers). Xuesen Wu is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic Associations and Epidemiology (3 papers). Xuesen Wu collaborates with scholars based in China, United States and Australia. Xuesen Wu's co-authors include Huaqing Liu, John Hall, Xiaoyue Xu, Momiao Xiong, Xue Chen, Jie Zhang, Julie Byles, Jing Mi, Jin Li and Xianjie Jia and has published in prestigious journals such as PLoS ONE, PLoS Genetics and Applied Surface Science.

In The Last Decade

Xuesen Wu

24 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
Xuesen Wu 129 114 81 74 73 26 571
Ruotong Yang 77 0.6× 60 0.5× 60 0.7× 93 1.3× 166 2.3× 35 589
Jianzhong Yin 54 0.4× 34 0.3× 24 0.3× 103 1.4× 46 0.6× 39 548
Jinyan Lu 54 0.4× 47 0.4× 23 0.3× 26 0.4× 54 0.7× 25 626
Junxiu Liu 74 0.6× 66 0.6× 24 0.3× 167 2.3× 57 0.8× 51 595
Xingqi Cao 32 0.2× 28 0.2× 23 0.3× 97 1.3× 41 0.6× 52 560
Jiayang Lin 98 0.8× 31 0.3× 31 0.4× 73 1.0× 74 1.0× 26 592
Li Yan 83 0.6× 183 1.6× 21 0.3× 48 0.6× 46 0.6× 20 682
Mohammad J. Alkhatatbeh 94 0.7× 44 0.4× 35 0.4× 70 0.9× 122 1.7× 38 582
Massimiliano Sansone 181 1.4× 14 0.1× 42 0.5× 98 1.3× 87 1.2× 23 693
Benjamin C. Johnson 100 0.8× 166 1.5× 48 0.6× 124 1.7× 25 0.3× 20 617

Countries citing papers authored by Xuesen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xuesen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuesen Wu

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