Stacey B. Gabriel
- Molecular Biology top 5%
- Genetics top 1%
- Cancer Research top 5%
- Cellular and Molecular Neuroscience top 5%
- Plant Science top 10%
- Co-authors
- Liuda ZiaugraDiana TabbaaDavid AltshulerMark J. DalySteven A. McCarrollCharles LeeGeorge H. PerryMichael C. Zody
- Topics
- Genetic Associations and Epidemiology (4 papers)Genomics and Rare Diseases (3 papers)RNA and protein synthesis mechanisms (3 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Stacey B. Gabriel
13 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.7k
- Genetics 1.6k
- Cancer Research 418
- Cellular and Molecular Neuroscience 374
- Plant Science 295
Countries citing papers authored by Stacey B. Gabriel
This map shows the geographic impact of Stacey B. Gabriel'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 Stacey B. Gabriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stacey B. Gabriel more than expected).
Fields of papers citing papers by Stacey B. Gabriel
This network shows the impact of papers produced by Stacey B. Gabriel. 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 Stacey B. Gabriel. The network helps show where Stacey B. Gabriel may publish in the future.
Co-authorship network of co-authors of Stacey B. Gabriel
This figure shows the co-authorship network connecting the top 25 collaborators of Stacey B. Gabriel. A scholar is included among the top collaborators of Stacey B. Gabriel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stacey B. Gabriel. Stacey B. Gabriel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 130 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | De novo somatic mutations in components of the PI3K-AKT3-mTOR pathway cause hemimegalencephalybreakdown → | 463 |
| 6 | 279 | |
| 7 | SNP Genotyping Using the Sequenom MassARRAY iPLEX Platformbreakdown → | 814 |
| 8 | Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVsbreakdown → | 507 |
| 9 | Common deletion polymorphisms in the human genomebreakdown → | 527 |
| 10 | 22 | |
| 11 | 142 | |
| 12 | 468 | |
| 13 | 219 |
About Stacey B. Gabriel
Stacey B. Gabriel is a scholar working on Genetics, Clinical Biochemistry and Psychiatry and Mental health, having authored 13 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Genomics and Rare Diseases (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Genetics (1.6k citations), Developmental Neuroscience (151 citations) and Cancer Research (418 citations). Stacey B. Gabriel has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Liuda Ziaugra, Diana Tabbaa, David Altshuler, Mark J. Daly, Steven A. McCarroll, Charles Lee, George H. Perry, Michael C. Zody, Stephanie Dallaire and Jeffrey C. Barrett. Their work appears in journals such as Circulation, Nature Genetics and Journal of Clinical 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.