Chad A. Shaw
Impact in
Papers in
- Co-authors
- Huda Y. ZoghbiJames R. LupskiMaria H. ChahrourJun QinStephen T.C. WongXiaobo ZhouSung Yun JungPaweł Stankiewicz
- Journals
- PLoS Genetics (10 papers)Blood (9 papers)Human Molecular Genetics (9 papers)The American Journal of Human Genetics (8 papers)European Journal of Human Genetics (7 papers)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Chad A. Shaw
191 papers receiving 13.6k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Genetics 5.7k
- Aging 354
- Molecular Biology 7.7k
- Cancer Research 1.5k
- Hematology 1.1k
Countries citing papers authored by Chad A. Shaw
This map shows the geographic impact of Chad A. Shaw'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 Chad A. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad A. Shaw more than expected).
Fields of papers citing papers by Chad A. Shaw
This network shows the impact of papers produced by Chad A. Shaw. 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 Chad A. Shaw. The network helps show where Chad A. Shaw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chad A. Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2021 | 21 | |
| 3 | 2020 | 3 | |
| 4 | 2019 | 8 | |
| 5 | 2012 | 27 | |
| 6 | 2012 | 30 | |
| 7 | 2010 | 200 | |
| 8 | 2010 | 37 | |
| 9 | 2010 | 18 | |
| 10 | 2009 | 156 | |
| 11 | 2009 | 40 | |
| 12 | MeCP2, a Key Contributor to Neurological Disease, Activates and Represses Transcription Hit paper breakdown → | 2008 | 1372 |
| 13 | 2008 | 73 | |
| 14 | 2008 | 142 | |
| 15 | Aging Hematopoietic Stem Cells Decline in Function and Exhibit Epigenetic Dysregulation Hit paper breakdown → | 2007 | 580 |
| 16 | 2007 | 128 | |
| 17 | 2006 | 56 | |
| 18 | 2004 | 266 | |
| 19 | 2004 | 68 | |
| 20 | 2003 | 149 |
About Chad A. Shaw
Chad A. Shaw is a scholar working on Aging, Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 193 papers that have together received 13.9k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (59 papers), Genomics and Rare Diseases (25 papers), Prenatal Screening and Diagnostics (24 papers), Chromosomal and Genetic Variations (21 papers), Genetics and Neurodevelopmental Disorders (18 papers), Congenital heart defects research (17 papers), Epigenetics and DNA Methylation (11 papers) and Genetic Neurodegenerative Diseases (10 papers). The work is most often cited by research in Genetics (5.7k citations), Aging (354 citations), Molecular Biology (7.7k citations), Cancer Research (1.5k citations) and Hematology (1.1k citations). Chad A. Shaw has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Huda Y. Zoghbi, James R. Lupski, Maria H. Chahrour, Jun Qin, Stephen T.C. Wong, Xiaobo Zhou, Sung Yun Jung, Paweł Stankiewicz, Sau Wai Cheung and Margaret A. Goodell. Their work appears in journals such as PLoS Genetics, Blood, Human Molecular Genetics, The American Journal of Human Genetics and European Journal of Human 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.