Matthew A. Deardorff
- Genetics top 1%
- Genomic variations and chromosomal abnormalities 16
- Genetic Syndromes and Imprinting 15
- Genomics and Rare Diseases 9
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 24
- Cancer-related gene regulation 11
- Epigenetics and DNA Methylation 11
- Wnt/β-catenin signaling in development and cancer 9
- Developmental Biology top 5%
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- Prenatal Screening and Diagnostics 13
- Cell Biology top 5%
- Co-authors
- Peter S. KleinIan D. KrantzChange TanElaine H. ZackaiNancy B. SpinnerLaura K. ConlinHåkon HåkonarsonManinder Kaur
- Journals
- American Journal of Medical Genetics Part C Seminars in Medical Genetics (4 papers)American Journal of Medical Genetics Part A (35 papers)Human Molecular Genetics (3 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Matthew A. Deardorff
102 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 132
- Genetics 1.4k
- Molecular Biology 2.7k
- Developmental Biology 69
- Pediatrics, Perinatology and Child Health 442
- Cell Biology 289
Countries citing papers authored by Matthew A. Deardorff
This map shows the geographic impact of Matthew A. Deardorff'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 Matthew A. Deardorff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Deardorff more than expected).
Fields of papers citing papers by Matthew A. Deardorff
This network shows the impact of papers produced by Matthew A. Deardorff. 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 Matthew A. Deardorff. The network helps show where Matthew A. Deardorff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew A. Deardorff, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 14 | |
| 6 | 2019 | 10 | |
| 7 | 2018 | 54 | |
| 8 | 2017 | 13 | |
| 9 | 2015 | 11 | |
| 10 | 2013 | 59 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 19 | |
| 13 | 2013 | 8 | |
| 14 | 2012 | 18 | |
| 15 | 2012 | 22 | |
| 16 | 2011 | 73 | |
| 17 | 2009 | 18 | |
| 18 | 2009 | 68 | |
| 19 | 2009 | 15 | |
| 20 | 1998 | 43 |
About Matthew A. Deardorff
Matthew A. Deardorff is a scholar working on Genetics, Developmental Biology and Molecular Biology, having authored 109 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (24 papers), Genomic variations and chromosomal abnormalities (16 papers), Genetic Syndromes and Imprinting (15 papers), Prenatal Screening and Diagnostics (13 papers), Cancer-related gene regulation (11 papers), Epigenetics and DNA Methylation (11 papers), Genomics and Rare Diseases (9 papers) and Wnt/β-catenin signaling in development and cancer (9 papers). The work is most often cited by research in Genetics (1.4k citations), Molecular Biology (2.7k citations) and Developmental Biology (69 citations). Matthew A. Deardorff has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Peter S. Klein, Ian D. Krantz, Change Tan, Elaine H. Zackai, Nancy B. Spinner, Laura K. Conlin, Håkon Håkonarson, Maninder Kaur, Dinah Clark and Brian Thiel. Their work appears in journals such as American Journal of Medical Genetics Part C Seminars in Medical Genetics, American Journal of Medical Genetics Part A, Human Molecular Genetics, Genetics in Medicine and The American 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.