Danny E. Miller
Impact in
Papers in
-
- CRISPR and Genetic Engineering 12
- Genomics and Phylogenetic Studies 9
- DNA Repair Mechanisms 9
- Genetics 22
- Genomics and Rare Diseases 13
- Genomic variations and chromosomal abnormalities 7
- Co-authors
- R. Scott Hawley (19 shared papers)Fuki M. Hisama (2 shared papers)Monica R. McClain (1 shared paper)Jennifer Malinowski (1 shared paper)Hutton M. Kearney (1 shared paper)Lauren Massingham (1 shared paper)Kandamurugu Manickam (1 shared paper)Laurie Demmer (1 shared paper)
- Journals
- Genetics (8 papers)G3 Genes Genomes Genetics (8 papers)Proceedings of the National Academy of Sciences (4 papers)PLoS Genetics (4 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Danny E. Miller
59 papers receiving 1.3k citations
Danny E. Miller's Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 615
- Aging 34
- Molecular Biology 799
- Plant Science 403
- Cell Biology 102
Countries citing papers authored by Danny E. Miller
This map shows the geographic impact of Danny E. Miller'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 Danny E. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny E. Miller more than expected).
Fields of papers citing papers by Danny E. Miller
This network shows the impact of papers produced by Danny E. Miller. 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 Danny E. Miller. The network helps show where Danny E. Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny E. Miller, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exome and genome sequencing for pediatric patients with congenital anomalies or intellectual disability: an evidence-based clinical guideline of the American College of Medical Genetics and Genomics (ACMG) Hit paper breakdown → | 2021 | 288 |
| 2 | 2018 | 94 | |
| 3 | 2018 | 86 | |
| 4 | 2018 | 64 | |
| 5 | 2016 | 60 | |
| 6 | 2018 | 59 | |
| 7 | 2023 | 50 | |
| 8 | 2012 | 43 | |
| 9 | 2014 | 42 | |
| 10 | 2020 | 40 | |
| 11 | 2015 | 39 | |
| 12 | 2019 | 32 | |
| 13 | 2014 | 29 | |
| 14 | 2016 | 28 | |
| 15 | 2011 | 27 | |
| 16 | 2014 | 26 | |
| 17 | 2013 | 25 | |
| 18 | 2018 | 21 | |
| 19 | 2016 | 21 | |
| 20 | 2020 | 19 |
About Danny E. Miller
Danny E. Miller is a scholar working on Molecular Biology, Genetics, Plant Science, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (20 papers), Genomics and Rare Diseases (13 papers), CRISPR and Genetic Engineering (12 papers), Genomics and Phylogenetic Studies (9 papers), DNA Repair Mechanisms (9 papers), Genomic variations and chromosomal abnormalities (7 papers), Plant Disease Resistance and Genetics (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Genetics (615 citations), Aging (34 citations), Molecular Biology (799 citations), Plant Science (403 citations) and Cell Biology (102 citations). Danny E. Miller has collaborated with scholars based in United States, Japan and France. Frequent co-authors include R. Scott Hawley, Fuki M. Hisama, Monica R. McClain, Jennifer Malinowski, Hutton M. Kearney, Lauren Massingham, Kandamurugu Manickam, Laurie Demmer, Sawona Biswas and Timothy W. Yu. Their work appears in journals such as Genetics, G3 Genes Genomes Genetics, Proceedings of the National Academy of Sciences, PLoS Genetics and Nucleic Acids Research.
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.