Chao-Wu Xiao

32 total papers · 951 total citations
24 papers, 757 citations indexed

About

Chao-Wu Xiao is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chao-Wu Xiao has authored 24 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 6 papers in Molecular Biology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chao-Wu Xiao's work include Phytoestrogen effects and research (12 papers), Diet, Metabolism, and Disease (6 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Chao-Wu Xiao is often cited by papers focused on Phytoestrogen effects and research (12 papers), Diet, Metabolism, and Disease (6 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Chao-Wu Xiao collaborates with scholars based in Canada, China and Nigeria. Chao-Wu Xiao's co-authors include Cynthia Chatterjee, S. Gleddie, A.K. Goff, Jean Sirois, Carla M. Wood, G. Sarwar Gilani, Nora Lee, Jesse Bertinato, Yulong Yin and Xiaoxue Yuan and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Chao-Wu Xiao

24 papers receiving 735 citations

Hit Papers

Soybean Bioactive Peptide... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Chao-Wu Xiao 265 149 144 125 118 24 757
Hasan Akşit 134 0.5× 53 0.4× 79 0.5× 53 0.4× 54 0.5× 53 803
Simrinder Singh Sodhi 241 0.9× 86 0.6× 45 0.3× 42 0.3× 106 0.9× 58 823
Rajaneesh Anupam 335 1.3× 85 0.6× 29 0.2× 166 1.3× 78 0.7× 21 738
G P Roberts 295 1.1× 113 0.8× 23 0.2× 100 0.8× 42 0.4× 25 708
Ann Walsh 155 0.6× 82 0.6× 18 0.1× 126 1.0× 75 0.6× 24 755
Xiaoxiao Gao 369 1.4× 81 0.5× 17 0.1× 125 1.0× 150 1.3× 71 853
Fan Wan 306 1.2× 64 0.4× 25 0.2× 49 0.4× 75 0.6× 25 640
Qiang Dong 411 1.6× 38 0.3× 105 0.7× 57 0.5× 91 0.8× 49 898
Holger Kluge 344 1.3× 45 0.3× 67 0.5× 21 0.2× 34 0.3× 40 898
Zhan‐Qing Yang 328 1.2× 68 0.5× 35 0.2× 272 2.2× 90 0.8× 67 873

Countries citing papers authored by Chao-Wu Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Wu Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao-Wu Xiao

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