David Ruble
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Genetics 2
- Genomics and Rare Diseases 2
- BRCA gene mutations in cancer 1
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- Cancer Genomics and Diagnostics 1
- Co-authors
- Jaclyn A. Biegel (2 shared papers)Xiaowu Gai (2 shared papers)Jianling Ji (2 shared papers)Moiz Bootwalla (2 shared papers)Dennis T. Maglinte (2 shared papers)Leo Mascarenhas (3 shared papers)Sayantan Mitra (1 shared paper)David M. Parham (1 shared paper)
- Journals
- EBioMedicine (1 paper)Journal of Molecular Diagnostics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Genetics in Medicine (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- United States
In The Last Decade
David Ruble
6 papers receiving 586 citations
David Ruble's Hit Papers
Peers
Comparison fields: 5 of 47
- Genetics 316
- Infectious Diseases 123
- Clinical Biochemistry 15
- General Dentistry 1
- Pediatrics, Perinatology and Child Health 25
Countries citing papers authored by David Ruble
This map shows the geographic impact of David Ruble'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 Ruble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ruble more than expected).
Fields of papers citing papers by David Ruble
This network shows the impact of papers produced by David Ruble. 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 Ruble. The network helps show where David Ruble may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ruble, 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 | Enhanced utility of family-centered diagnostic exome sequencing with inheritance model–based analysis: results from 500 unselected families with undiagnosed genetic conditions Hit paper breakdown → | 2014 | 396 |
| 2 | 2021 | 140 | |
| 3 | 2012 | 28 | |
| 4 | 2017 | 26 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 3 |
About David Ruble
David Ruble is a scholar working on Genetics, Cancer Research, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 598 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (1 paper), Epigenetics and DNA Methylation (1 paper), Protein Tyrosine Phosphatases (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Genetics (316 citations), Infectious Diseases (123 citations), Clinical Biochemistry (15 citations), General Dentistry (1 citation) and Pediatrics, Perinatology and Child Health (25 citations). David Ruble has collaborated with scholars based in United States. Frequent co-authors include Jaclyn A. Biegel, Xiaowu Gai, Jianling Ji, Moiz Bootwalla, Dennis T. Maglinte, Leo Mascarenhas, Sayantan Mitra, David M. Parham, Sulagna C. Saitta and Matthew D. Falk. Their work appears in journals such as EBioMedicine, Journal of Molecular Diagnostics, Proceedings of the National Academy of Sciences, Genetics in Medicine and Frontiers in Oncology.
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.