David T. Miller

15.7k citations
138 papers · 11.6k · 7 hit papers · h-index 50

Impact in

  • Genetics top 0.2%
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases
    • Genetics and Neurodevelopmental Disorders
    • BRCA gene mutations in cancer
    • Prenatal Screening and Diagnostics

Papers in

David T. Miller

134 papers receiving 11.2k citations

David T. Miller's Hit Papers

ACMG SF v3.2 list for reporting of secondary findings in clinical exome and genome sequencing: A policy statement of the American College of Medical Genetics and Genomics (ACMG) 2023 · 245 citations
2450+5+10Years since publication50010001.5k2.0k

Peers

David T. Miller
Comparison fields: 5 of 169
  • Genetics 5.6k
  • Pediatrics, Perinatology and Child Health 1.2k
  • Hardware and Architecture 451
  • Cognitive Neuroscience 1.0k
  • Ophthalmology 433
Replace Esti Yeger‐Lotem with:
Esti Yeger‐Lotem Israel
Alfonso Buil United States
A. Viñuela Rodriguez United Kingdom
Abecasis Gb United States
Sebastian Köhler Germany
Hannes Helgason Iceland
Evan K. Maxwell United States
Ichiro Matsuda Japan
Slavé Petrovski United States
Elizabeth J. Rossin United States
David T. Miller relative to Esti Yeger‐Lotem Israel Esti Yeger‐Lotem's profile →
Citations per field
00.5×10×20×32.2×
Esti Yeger‐Lotem · 1×
Citations per year

Countries citing papers authored by David T. Miller

Since Specialization
Citations

This map shows the geographic impact of David T. 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 David T. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Miller more than expected).

Fields of papers citing papers by David T. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. 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 David T. Miller. The network helps show where David T. Miller may publish in the future.

Co-authors

The 25 scholars most cited alongside David T. Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David T. Miller Line = papers co-authored together David T. Miller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Consensus Statement: Chromosomal Microarray Is a First-Tier Clinical Diagnostic Test for Individuals with Developmental Disabilities or Congenital Anomalies
Hit paper breakdown →
20102162
2
Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics
Hit paper breakdown →
20161305
3
Meta-analysis and multidisciplinary consensus statement: exome sequencing is a first-tier clinical diagnostic test for individuals with neurodevelopmental disorders
Hit paper breakdown →
2019477
4
Genetic variants near TIMP3 and high-density lipoprotein–associated loci influence susceptibility to age-related macular degeneration
Hit paper breakdown →
2010452
5
ACMG SF v3.0 list for reporting of secondary findings in clinical exome and genome sequencing: a policy statement of the American College of Medical Genetics and Genomics (ACMG)
Hit paper breakdown →
2021399
6 2008316
7 2010313
8 2012300
9 2010250
10
ACMG SF v3.2 list for reporting of secondary findings in clinical exome and genome sequencing: A policy statement of the American College of Medical Genetics and Genomics (ACMG)
Hit paper breakdown →
2023245
11
ACMG SF v3.1 list for reporting of secondary findings in clinical exome and genome sequencing: A policy statement of the American College of Medical Genetics and Genomics (ACMG)
Hit paper breakdown →
2022200
12 2005197
13 2021191
14 2008180
15 1998163
16 2017163
17 2007159
18 2007158
19 1984151
20 1997148

About David T. Miller

David T. Miller is a scholar working on Genetics, Nuclear and High Energy Physics, Hardware and Architecture, Neurology and Molecular Biology, having authored 138 papers that have together received 11.6k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (26 papers), Genomic variations and chromosomal abnormalities (24 papers), Nuclear physics research studies (12 papers), Congenital heart defects research (12 papers), Neurofibromatosis and Schwannoma Cases (8 papers), VLSI and Analog Circuit Testing (7 papers), Prenatal Screening and Diagnostics (7 papers) and Integrated Circuits and Semiconductor Failure Analysis (6 papers). The work is most often cited by research in Genetics (5.6k citations), Pediatrics, Perinatology and Child Health (1.2k citations), Hardware and Architecture (451 citations), Cognitive Neuroscience (1.0k citations) and Ophthalmology (433 citations). David T. Miller has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Christa Lese Martin, Wendy K. Chung, M. Abramovici, Teri E. Klein, C. Sue Richards, Prem R. Menon, Kent D. McKelvey, Gail E. Herman, Christopher N. Vlangos and Sherri J. Bale. Their work appears in journals such as Genetics in Medicine, Physical Review C, Clinical Chemistry, The American Journal of Human Genetics and Human Mutation.

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.

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