Stacey Gabriel
- Genetics top 0.01%
- Genetic Associations and Epidemiology 18
- Genomics and Rare Diseases 9
- Chronic Lymphocytic Leukemia Research 8
- Cancer Research top 0.02%
- Cancer Genomics and Diagnostics 19
- Molecular Biology top 0.05%
- Genomics and Phylogenetic Studies 12
- Oncology top 0.1%
- Pulmonary and Respiratory Medicine top 0.05%
-
- SARS-CoV-2 detection and testing 10
- SARS-CoV-2 and COVID-19 Research 6
-
- Genetic factors in colorectal cancer 8
- Co-authors
- David AltshulerMark J. DalyMark A. DePristoKiran GarimellaEric BanksKristian CibulskisAndrew KernytskyAaron McKenna
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Stacey Gabriel
100 papers receiving 57.0k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Genetics 20.1k
- Cancer Research 10.5k
- Molecular Biology 27.2k
- Oncology 9.0k
- Pulmonary and Respiratory Medicine 8.5k
Countries citing papers authored by Stacey Gabriel
This map shows the geographic impact of Stacey 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 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 Gabriel more than expected).
Fields of papers citing papers by Stacey Gabriel
This network shows the impact of papers produced by Stacey 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 Gabriel. The network helps show where Stacey Gabriel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stacey Gabriel, 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 | 2023 | 23 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 20 | |
| 5 | 2021 | 165 | |
| 6 | 2020 | 96 | |
| 7 | 2019 | 23 | |
| 8 | Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel | 2017 | 20 |
| 9 | 2013 | 110 | |
| 10 | 2013 | 158 | |
| 11 | 2012 | 115 | |
| 12 | 2012 | 183 | |
| 13 | 2011 | 384 | |
| 14 | 2010 | 57 | |
| 15 | The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing databreakdown → | 2010 | 17384 |
| 16 | Integrative Transcriptome Analysis Reveals Common Molecular Subclasses of Human Hepatocellular Carcinomabreakdown → | 2009 | 872 |
| 17 | Information for Action: Developing the Victorian Child and Adolescent Monitoring System (VCAMS) | 2008 | 2 |
| 18 | 2005 | 280 | |
| 19 | EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapybreakdown → | 2004 | 7539 |
| 20 | 2002 | 21 |
About Stacey Gabriel
Stacey Gabriel is a scholar working on Cancer Research, Genetics and Genetics, having authored 100 papers that have together received 57.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (19 papers), Genetic Associations and Epidemiology (18 papers), Genomics and Phylogenetic Studies (12 papers), SARS-CoV-2 detection and testing (10 papers), Genomics and Rare Diseases (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Genetic factors in colorectal cancer (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Genetics (20.1k citations), Cancer Research (10.5k citations) and Molecular Biology (27.2k citations). Stacey Gabriel has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David Altshuler, Mark J. Daly, Mark A. DePristo, Kiran Garimella, Eric Banks, Kristian Cibulskis, Andrew Kernytsky, Aaron McKenna, Andrey Sivachenko and Matthew G. Hanna. Their work appears in journals such as Nature Genetics, Blood, Nature, Science 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.