Mengyao Wu

104 total papers · 1.6k total citations
69 papers, 1.1k citations indexed

About

Mengyao Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mengyao Wu has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Oncology and 20 papers in Cancer Research. Recurrent topics in Mengyao Wu's work include Inflammatory Biomarkers in Disease Prognosis (10 papers), MicroRNA in disease regulation (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Mengyao Wu is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (10 papers), MicroRNA in disease regulation (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Mengyao Wu collaborates with scholars based in China, United States and Taiwan. Mengyao Wu's co-authors include Fei‐Ran Gong, Mengdan Xu, Meng Shen, Kai Chen, Min Tao, Weiming Duan, Min Tao, Qiaoming Zhi, Liu‐Mei Shou and Min Tao and has published in prestigious journals such as Journal of Biological Chemistry, ACS Nano and Oncogene.

In The Last Decade

Mengyao Wu

63 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Mengyao Wu 511 363 259 207 147 69 1.1k
Xiaodong Xu 640 1.3× 272 0.7× 258 1.0× 210 1.0× 107 0.7× 58 1.2k
Xi Yu 543 1.1× 262 0.7× 242 0.9× 136 0.7× 115 0.8× 63 1.3k
She Chen 686 1.3× 306 0.8× 201 0.8× 265 1.3× 156 1.1× 52 1.3k
Yue Meng 617 1.2× 373 1.0× 255 1.0× 170 0.8× 92 0.6× 77 1.4k
Yuka Sasaki 433 0.8× 308 0.8× 180 0.7× 319 1.5× 126 0.9× 108 1.4k
Richard Edwards 580 1.1× 253 0.7× 202 0.8× 156 0.8× 104 0.7× 55 1.5k
Armel Hervé Nwabo Kamdje 685 1.3× 348 1.0× 270 1.0× 161 0.8× 120 0.8× 46 1.4k
Shiquan Liu 740 1.4× 244 0.7× 259 1.0× 144 0.7× 189 1.3× 72 1.3k
Bowen Xie 684 1.3× 282 0.8× 386 1.5× 186 0.9× 80 0.5× 57 1.3k
Huan Xu 629 1.2× 329 0.9× 373 1.4× 185 0.9× 86 0.6× 56 1.3k

Countries citing papers authored by Mengyao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mengyao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengyao Wu

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