Xiaoming Wu

68 total papers · 926 total citations
46 papers, 691 citations indexed

About

Xiaoming Wu is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Xiaoming Wu has authored 46 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Oncology and 8 papers in Physiology. Recurrent topics in Xiaoming Wu's work include Cancer-related Molecular Pathways (10 papers), Epigenetics and DNA Methylation (8 papers) and Cancer Cells and Metastasis (6 papers). Xiaoming Wu is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), Epigenetics and DNA Methylation (8 papers) and Cancer Cells and Metastasis (6 papers). Xiaoming Wu collaborates with scholars based in China, United States and Hong Kong. Xiaoming Wu's co-authors include Ying Luo, Wenru Tang, Shuting Jia, Sarah S. Wilson, Xianzhang Bu, Lori Patnaude, Heather Knight, Zhihong Guo, Lucy Phillips and Robert W. Dunstan and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Xiaoming Wu

45 papers receiving 677 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoming Wu 298 128 100 89 88 46 691
Xiangzhou Zeng 389 1.3× 123 1.0× 151 1.5× 47 0.5× 83 0.9× 31 744
Hongbo Zhao 316 1.1× 79 0.6× 84 0.8× 24 0.3× 37 0.4× 66 675
Yoshihiro Nishida 383 1.3× 95 0.7× 226 2.3× 47 0.5× 49 0.6× 59 786
Rajesh Kumar 281 0.9× 183 1.4× 195 1.9× 42 0.5× 18 0.2× 42 763
Yun Yang 255 0.9× 153 1.2× 50 0.5× 41 0.5× 36 0.4× 48 601
Mark K. Haynes 199 0.7× 83 0.6× 139 1.4× 32 0.4× 122 1.4× 28 619
William McDowell 382 1.3× 53 0.4× 73 0.7× 26 0.3× 109 1.2× 25 763
Liheng Yang 274 0.9× 91 0.7× 139 1.4× 70 0.8× 15 0.2× 43 576
Naomi Watanabe 319 1.1× 111 0.9× 76 0.8× 12 0.1× 36 0.4× 63 733
Huilan Wang 292 1.0× 94 0.7× 110 1.1× 78 0.9× 11 0.1× 60 714

Countries citing papers authored by Xiaoming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Wu

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