Danny E. Miller
Impact in
Papers in
-
- CRISPR and Genetic Engineering 11
- DNA Repair Mechanisms 9
- Genomics and Phylogenetic Studies 8
- Genetics 20
- Genomics and Rare Diseases 12
- Genomic variations and chromosomal abnormalities 6
- Co-authors
- R. Scott Hawley (19 shared papers)Fuki M. Hisama (2 shared papers)Timothy W. Yu (1 shared paper)Lauren Massingham (1 shared paper)Jennifer Malinowski (1 shared paper)Sawona Biswas (1 shared paper)Kandamurugu Manickam (1 shared paper)Hutton M. Kearney (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 StatesFranceJapan
In The Last Decade
Danny E. Miller
60 papers receiving 1.4k citations
Danny E. Miller's Hit Papers
Peers
Comparison fields: 5 of 103
- Genetics 573
- Aging 33
- Molecular Biology 754
- Plant Science 395
- 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 64 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 | 317 |
| 2 | 2018 | 97 | |
| 3 | 2018 | 90 | |
| 4 | 2018 | 67 | |
| 5 | 2016 | 62 | |
| 6 | 2018 | 61 | |
| 7 | 2023 | 52 | |
| 8 | 2012 | 44 | |
| 9 | 2014 | 43 | |
| 10 | 2020 | 41 | |
| 11 | 2015 | 40 | |
| 12 | 2019 | 33 | |
| 13 | 2014 | 30 | |
| 14 | 2016 | 29 | |
| 15 | 2014 | 28 | |
| 16 | 2011 | 27 | |
| 17 | 2013 | 25 | |
| 18 | 2018 | 21 | |
| 19 | 2016 | 21 | |
| 20 | 2020 | 20 |
About Danny E. Miller
Danny E. Miller is a scholar working on Molecular Biology, Genetics, Plant Science, Pediatrics, Perinatology and Child Health and Cell Biology, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (19 papers), Genomics and Rare Diseases (12 papers), CRISPR and Genetic Engineering (11 papers), DNA Repair Mechanisms (9 papers), Genomics and Phylogenetic Studies (8 papers), Genomic variations and chromosomal abnormalities (6 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 (573 citations), Aging (33 citations), Molecular Biology (754 citations), Plant Science (395 citations) and Cell Biology (102 citations). Danny E. Miller has collaborated with scholars based in United States, France and Japan. Frequent co-authors include R. Scott Hawley, Fuki M. Hisama, Timothy W. Yu, Lauren Massingham, Jennifer Malinowski, Sawona Biswas, Kandamurugu Manickam, Hutton M. Kearney, Monica R. McClain and Laurie Demmer. 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.