Chang-En Yu
Impact in
- Aging top 1%
- Physiology top 0.5%
- Alzheimer's disease research and treatments
Papers in
-
- DNA Repair Mechanisms 7
- Bioinformatics and Genomic Networks 3
- S100 Proteins and Annexins 2
- Physiology 12
- Alzheimer's disease research and treatments 12
- Co-authors
- Gerard D. Schellenberg (16 shared papers)Ellen M. Wijsman (9 shared papers)Junko Oshima (6 shared papers)Ying‐Hui Fu (3 shared papers)Thomas D. Bird (4 shared papers)Fuki M. Hisama (4 shared papers)George M. Martin (3 shared papers)John Mulligan (2 shared papers)
- Journals
- Genomics (8 papers)JAMA Neurology (3 papers)Science (2 papers)Neurobiology of Aging (2 papers)Human Molecular Genetics (2 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Chang-En Yu
34 papers receiving 4.6k citations
Chang-En Yu's Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 214
- Physiology 2.2k
- Neurology 371
- Molecular Biology 2.7k
- Biological Psychiatry 85
Countries citing papers authored by Chang-En Yu
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
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-authors
The 25 scholars most cited alongside Chang-En Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Candidate Gene for the Chromosome 1 Familial Alzheimer's Disease Locus Hit paper breakdown → | 1995 | 1964 |
| 2 | Positional Cloning of the Werner's Syndrome Gene Hit paper breakdown → | 1996 | 1368 |
| 3 | 1999 | 146 | |
| 4 | 2002 | 144 | |
| 5 | 2007 | 123 | |
| 6 | 2009 | 117 | |
| 7 | 2015 | 114 | |
| 8 | 1994 | 79 | |
| 9 | 2011 | 77 | |
| 10 | 2012 | 74 | |
| 11 | 2008 | 71 | |
| 12 | 2013 | 53 | |
| 13 | 2002 | 48 | |
| 14 | 2006 | 45 | |
| 15 | 1996 | 42 | |
| 16 | 2017 | 38 | |
| 17 | 2015 | 31 | |
| 18 | 1991 | 30 | |
| 19 | 2014 | 30 | |
| 20 | 2012 | 25 |
About Chang-En Yu
Chang-En Yu is a scholar working on Molecular Biology, Physiology, Genetics, Psychiatry and Mental health and Plant Science, having authored 34 papers that have together received 4.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), DNA Repair Mechanisms (7 papers), Dementia and Cognitive Impairment Research (4 papers), Chromosomal and Genetic Variations (3 papers), Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (3 papers), S100 Proteins and Annexins (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Aging (214 citations), Physiology (2.2k citations), Neurology (371 citations), Molecular Biology (2.7k citations) and Biological Psychiatry (85 citations). Chang-En Yu has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Gerard D. Schellenberg, Ellen M. Wijsman, Junko Oshima, Ying‐Hui Fu, Thomas D. Bird, Fuki M. Hisama, George M. Martin, John Mulligan, Tetsuro Miki and Reid S. Alisch. Their work appears in journals such as Genomics, JAMA Neurology, Science, Neurobiology of Aging and Human Molecular Genetics.
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.