Jennifer Daugherty
Impact in
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- Hormonal Regulation and Hypertension
- Genetics top 10%
- Estrogen and related hormone effects
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Papers in
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- Hormonal Regulation and Hypertension 3
- Genetics 3
- Estrogen and related hormone effects 3
- Co-authors
- H. Eric Xu (4 shared papers)Yong Li (1 shared paper)Yong Li (2 shared papers)Mihwa Choi (2 shared papers)Steven A. Kliewer (2 shared papers)Amanda Kovach (2 shared papers)Nathan C. Bingham (1 shared paper)Ermanno Gherardi (1 shared paper)
- Journals
- Molecular Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Proceedings (1 paper)AGU Fall Meeting Abstracts (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jennifer Daugherty
6 papers receiving 455 citations
Peers
Comparison fields: 5 of 63
- Endocrinology, Diabetes and Metabolism 136
- Genetics 200
- Hepatology 30
- Molecular Biology 284
- Cellular and Molecular Neuroscience 55
Countries citing papers authored by Jennifer Daugherty
This map shows the geographic impact of Jennifer Daugherty'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 Jennifer Daugherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Daugherty more than expected).
Fields of papers citing papers by Jennifer Daugherty
This network shows the impact of papers produced by Jennifer Daugherty. 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 Jennifer Daugherty. The network helps show where Jennifer Daugherty may publish in the future.
Co-authors
The 15 scholars most cited alongside Jennifer Daugherty, 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 | 2005 | 185 | |
| 2 | 2005 | 147 | |
| 3 | 2005 | 85 | |
| 4 | 2007 | 44 | |
| 5 | Microseismic Monitoring of a Carbon Sequestration Field Test | 2009 | 3 |
| 6 | 2009 | 2 |
About Jennifer Daugherty
Jennifer Daugherty is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Geophysics and Molecular Biology, having authored 6 papers that have together received 466 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Hormonal Regulation and Hypertension (3 papers), Cholesterol and Lipid Metabolism (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Geological Modeling and Analysis (1 paper), Seismology and Earthquake Studies (1 paper) and Drilling and Well Engineering (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (136 citations), Genetics (200 citations), Hepatology (30 citations), Molecular Biology (284 citations) and Cellular and Molecular Neuroscience (55 citations). Jennifer Daugherty has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include H. Eric Xu, Yong Li, Yong Li, Mihwa Choi, Steven A. Kliewer, Amanda Kovach, Nathan C. Bingham, Ermanno Gherardi, Qian Xie and William D. Tolbert. Their work appears in journals such as Molecular Cell, Proceedings of the National Academy of Sciences, Proceedings and AGU Fall Meeting Abstracts.
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.