Lynette Ekunwe
Impact in
- Genetics top 10%
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
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- Cardiovascular Disease and Adiposity
- Cardiovascular Function and Risk Factors
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 3
- BRCA gene mutations in cancer 2
- Evolution and Genetic Dynamics 2
- Nutrition, Genetics, and Disease 2
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- Health, Environment, Cognitive Aging 2
- Co-authors
- Santiago F. Elena (2 shared papers)Neerja Hajela (2 shared papers)Richard E. Lenski (2 shared papers)Herman A. Taylor (3 shared papers)Daniel F. Sarpong (2 shared papers)DeMarc A. Hickson (2 shared papers)Sharon B. Wyatt (2 shared papers)J. Jeffrey Carr (1 shared paper)
- Journals
- Annals of Epidemiology (1 paper)JACC Basic to Translational Science (1 paper)Genetics (1 paper)Bioinformatics (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- United States
In The Last Decade
Lynette Ekunwe
10 papers receiving 513 citations
Peers
Comparison fields: 5 of 87
- Genetics 226
- Cardiology and Cardiovascular Medicine 138
- Pollution 40
- Molecular Medicine 17
- Health 25
Countries citing papers authored by Lynette Ekunwe
This map shows the geographic impact of Lynette Ekunwe'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 Lynette Ekunwe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynette Ekunwe more than expected).
Fields of papers citing papers by Lynette Ekunwe
This network shows the impact of papers produced by Lynette Ekunwe. 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 Lynette Ekunwe. The network helps show where Lynette Ekunwe may publish in the future.
Co-authors
The 25 scholars most cited alongside Lynette Ekunwe, 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 | 1998 | 110 | |
| 2 | 2010 | 109 | |
| 3 | 1998 | 101 | |
| 4 | Study design for genetic analysis in the Jackson Heart Study. | 2005 | 78 |
| 5 | 2011 | 55 | |
| 6 | 2005 | 41 | |
| 7 | 2019 | 11 | |
| 8 | 2015 | 9 | |
| 9 | 2019 | 9 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 0 |
About Lynette Ekunwe
Lynette Ekunwe is a scholar working on Genetics, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Molecular Biology and Sociology and Political Science, having authored 11 papers that have together received 525 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), BRCA gene mutations in cancer (2 papers), Health, Environment, Cognitive Aging (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Evolution and Genetic Dynamics (2 papers), Nutrition, Genetics, and Disease (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Genetics (226 citations), Cardiology and Cardiovascular Medicine (138 citations), Pollution (40 citations), Molecular Medicine (17 citations) and Health (25 citations). Lynette Ekunwe has collaborated with scholars based in United States. Frequent co-authors include Santiago F. Elena, Neerja Hajela, Richard E. Lenski, Herman A. Taylor, Daniel F. Sarpong, DeMarc A. Hickson, Sharon B. Wyatt, J. Jeffrey Carr, Jiankang Liu and Caroline S. Fox. Their work appears in journals such as Annals of Epidemiology, JACC Basic to Translational Science, Genetics, Bioinformatics and International Journal of Environmental Research and Public Health.
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.