Julia Brodt-Eppley
Impact in
- Pharmacology top 10%
- Inflammatory mediators and NSAID effects
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- Preterm Birth and Chorioamnionitis
Papers in
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- Inflammatory mediators and NSAID effects 3
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- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Diet, Metabolism, and Disease 1
- Co-authors
- Leslie Myatt (3 shared papers)David Y. Hui (3 shared papers)Phillip J. White (1 shared paper)Sarah Howard Jenkins (1 shared paper)Donna M. Slater (1 shared paper)Stephen J. Lye (1 shared paper)Scott D. Moore (1 shared paper)Scott Burk (1 shared paper)
- Journals
- Biology of Reproduction (2 papers)Obstetrics and Gynecology (2 papers)American Journal of Obstetrics and Gynecology (1 paper)Journal of Lipid Research (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Julia Brodt-Eppley
9 papers receiving 389 citations
Peers
Comparison fields: 5 of 55
- Pharmacology 100
- Epidemiology 140
- Immunology 84
- Reproductive Medicine 33
- Public Health, Environmental and Occupational Health 107
Countries citing papers authored by Julia Brodt-Eppley
This map shows the geographic impact of Julia Brodt-Eppley'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 Julia Brodt-Eppley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Brodt-Eppley more than expected).
Fields of papers citing papers by Julia Brodt-Eppley
This network shows the impact of papers produced by Julia Brodt-Eppley. 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 Julia Brodt-Eppley. The network helps show where Julia Brodt-Eppley may publish in the future.
Co-authors
The 11 scholars most cited alongside Julia Brodt-Eppley, 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 | 1999 | 129 | |
| 2 | 1998 | 79 | |
| 3 | 1995 | 68 | |
| 4 | 1999 | 33 | |
| 5 | 1999 | 31 | |
| 6 | 2001 | 28 | |
| 7 | 1994 | 19 | |
| 8 | 1995 | 4 | |
| 9 | 1998 | 1 |
About Julia Brodt-Eppley
Julia Brodt-Eppley is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 392 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (3 papers), Estrogen and related hormone effects (3 papers), Endometriosis Research and Treatment (2 papers), Cholesterol and Lipid Metabolism (2 papers), Neuropeptides and Animal Physiology (2 papers), Pregnancy-related medical research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Pharmacology (100 citations), Epidemiology (140 citations), Immunology (84 citations), Reproductive Medicine (33 citations) and Public Health, Environmental and Occupational Health (107 citations). Julia Brodt-Eppley has collaborated with scholars based in United States and Canada. Frequent co-authors include Leslie Myatt, David Y. Hui, Phillip J. White, Sarah Howard Jenkins, Donna M. Slater, Stephen J. Lye, Scott D. Moore, Scott Burk, Annie Eis and Daniel J. MacPhee. Their work appears in journals such as Biology of Reproduction, Obstetrics and Gynecology, American Journal of Obstetrics and Gynecology, Journal of Lipid Research and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.