M. C. Yu

162 total papers · 979 total citations
17 papers, 572 citations indexed

About

M. C. Yu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. C. Yu has authored 17 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. C. Yu's work include RNA modifications and cancer (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). M. C. Yu is often cited by papers focused on RNA modifications and cancer (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Antioxidant Activity and Oxidative Stress (2 papers). M. C. Yu collaborates with scholars based in China, United States and Singapore. M. C. Yu's co-authors include R K Ross, Brian E. Henderson, Juergen Reichardt, Nick Makridakis, Malcolm C. Pike, Jian‐Min Yuan, Yu‐Tang Gao, Rachael K. Ross, J K McLaughlin and Joseph F. Fraumeni and has published in prestigious journals such as Gut, Neuroscience and Molecular Cancer.

In The Last Decade

M. C. Yu

13 papers receiving 548 citations

Author Peers

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

Author Last Decade Papers Cites
M. C. Yu 240 165 143 106 83 17 572
Sylvie Vass 123 0.5× 252 1.5× 84 0.6× 69 0.7× 92 1.1× 19 606
Eva Zsigmond 277 1.2× 116 0.7× 93 0.7× 166 1.6× 17 0.2× 21 673
Françoise Maupas‐Schwalm 287 1.2× 71 0.4× 66 0.5× 144 1.4× 43 0.5× 21 685
Masaru Hasumi 247 1.0× 139 0.8× 106 0.7× 41 0.4× 26 0.3× 26 640
Stefan Seibold 253 1.1× 53 0.3× 54 0.4× 81 0.8× 70 0.8× 17 633
Reiji Terasaka 133 0.6× 95 0.6× 170 1.2× 217 2.0× 27 0.3× 32 591
Jean‐Paul Boiteux 388 1.6× 106 0.6× 68 0.5× 112 1.1× 25 0.3× 27 643
X N Zou 112 0.5× 127 0.8× 90 0.6× 156 1.5× 143 1.7× 11 553
A Mühlhöfer 231 1.0× 67 0.4× 89 0.6× 119 1.1× 29 0.3× 21 609
Jason Hwang 255 1.1× 71 0.4× 39 0.3× 178 1.7× 75 0.9× 24 672

Countries citing papers authored by M. C. Yu

Since Specialization
Citations

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

Fields of papers citing papers by M. C. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. 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 M. C. Yu. The network helps show where M. C. Yu may publish in the future.

Co-authorship network of co-authors of M. C. Yu

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