Chang‐En Yu

72 total papers · 11.1k total citations
30 papers, 1.5k citations indexed

About

Chang‐En Yu is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Chang‐En Yu has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Physiology and 10 papers in Genetics. Recurrent topics in Chang‐En Yu's work include Alzheimer's disease research and treatments (15 papers), Dementia and Cognitive Impairment Research (6 papers) and Epigenetics and DNA Methylation (5 papers). Chang‐En Yu is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Dementia and Cognitive Impairment Research (6 papers) and Epigenetics and DNA Methylation (5 papers). Chang‐En Yu collaborates with scholars based in United States, Denmark and Canada. Chang‐En Yu's co-authors include Lynn M. Bekris, Debby W. Tsuang, Thomas D. Bird, Sunny Chen, Gerard D. Schellenberg, Lesley Leong, C. Dirk Keene, Steven P. Millard, Zachary Thomson and Lynn M. Bekris and has published in prestigious journals such as PLoS ONE, Annals of Neurology and Brain Research.

In The Last Decade

Chang‐En Yu

30 papers receiving 1.5k citations

Hit Papers

Review Article: Genetics ... 2010 2026 2015 2020 2010 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Chang‐En Yu 835 709 254 248 240 30 1.5k
Karolien Bettens 840 1.0× 616 0.9× 261 1.0× 189 0.8× 159 0.7× 24 1.4k
Olivia Belbin 868 1.0× 547 0.8× 161 0.6× 172 0.7× 260 1.1× 50 1.4k
Britto P. Nathan 1.0k 1.2× 760 1.1× 212 0.8× 486 2.0× 179 0.7× 32 2.0k
Caroline Van Cauwenberghe 856 1.0× 700 1.0× 220 0.9× 189 0.8× 149 0.6× 22 1.6k
Jacqueline Rimmler 1.2k 1.4× 709 1.0× 271 1.1× 307 1.2× 476 2.0× 17 2.3k
Martine Vercelletto 942 1.1× 635 0.9× 368 1.4× 250 1.0× 408 1.7× 46 1.8k
Charlotte Forsell 1.3k 1.6× 882 1.2× 156 0.6× 226 0.9× 180 0.8× 35 1.7k
Gerard D. Schellenberg 840 1.0× 484 0.7× 217 0.9× 179 0.7× 438 1.8× 30 1.7k
Janet Johnston 914 1.1× 822 1.2× 115 0.5× 298 1.2× 171 0.7× 62 1.7k
Steven G. Younkin 1.0k 1.2× 615 0.9× 223 0.9× 260 1.0× 204 0.8× 14 1.4k

Countries citing papers authored by Chang‐En Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐En Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐En Yu

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