Mei‐Yung Yu

18 total papers · 665 total citations
16 papers, 497 citations indexed

About

Mei‐Yung Yu is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Obstetrics and Gynecology. According to data from OpenAlex, Mei‐Yung Yu has authored 16 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Epidemiology and 5 papers in Obstetrics and Gynecology. Recurrent topics in Mei‐Yung Yu's work include Cervical Cancer and HPV Research (5 papers), Photodynamic Therapy Research Studies (4 papers) and Uterine Myomas and Treatments (3 papers). Mei‐Yung Yu is often cited by papers focused on Cervical Cancer and HPV Research (5 papers), Photodynamic Therapy Research Studies (4 papers) and Uterine Myomas and Treatments (3 papers). Mei‐Yung Yu collaborates with scholars based in Hong Kong, China and Singapore. Mei‐Yung Yu's co-authors include Tak‐Hong Cheung, Chi Chiu Wang, Jianan Y. Qu, Susan Laird, Xiaoyan Chen, Yingyu Liu, Jin Huang, Tin Chiu Li, Peng Xi and Yicong Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and International Journal of Cancer.

In The Last Decade

Mei‐Yung Yu

16 papers receiving 479 citations

Author Peers

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

Author Last Decade Papers Cites
Mei‐Yung Yu 143 131 130 122 101 16 497
Yuh-Cheng Yang 165 1.2× 132 1.0× 141 1.1× 104 0.9× 115 1.1× 18 575
Aska Toda 118 0.8× 61 0.5× 238 1.8× 75 0.6× 48 0.5× 21 463
Tyler O. Kirby 52 0.4× 140 1.1× 174 1.3× 182 1.5× 129 1.3× 27 607
Sanne Samuels 267 1.9× 103 0.8× 93 0.7× 45 0.4× 83 0.8× 16 525
Maria Elena Guerrieri 62 0.4× 141 1.1× 112 0.9× 164 1.3× 184 1.8× 27 530
Jan Pyman 40 0.3× 134 1.0× 111 0.9× 119 1.0× 87 0.9× 20 523
Cheng-Tao Lin 160 1.1× 84 0.6× 91 0.7× 101 0.8× 73 0.7× 21 458
Paul Mayor 153 1.1× 60 0.5× 69 0.5× 81 0.7× 27 0.3× 23 481
Sandra Kolkman-Uljee 72 0.5× 194 1.5× 208 1.6× 183 1.5× 89 0.9× 11 570
Chan Sun 269 1.9× 84 0.6× 105 0.8× 65 0.5× 125 1.2× 17 497

Countries citing papers authored by Mei‐Yung Yu

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Yung Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Yung Yu. 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 Mei‐Yung Yu. The network helps show where Mei‐Yung Yu may publish in the future.

Co-authorship network of co-authors of Mei‐Yung Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Yung Yu. A scholar is included among the top collaborators of Mei‐Yung Yu 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 Mei‐Yung Yu. Mei‐Yung Yu 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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