Casey E. Reed
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
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- Per- and polyfluoroalkyl substances research
Papers in
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- Effects and risks of endocrine disrupting chemicals 4
- Toxic Organic Pollutants Impact 4
- Air Quality and Health Impacts 1
- Health, Environment, Cognitive Aging 1
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- Per- and polyfluoroalkyl substances research 2
- Co-authors
- Suzanne E. Fenton (5 shared papers)Retha R. Newbold (2 shared papers)Katherine J. Hamilton (3 shared papers)Kenneth S. Korach (3 shared papers)Patricia Stockton (2 shared papers)Karina F. Rodriguez (2 shared papers)Yi Lu (1 shared paper)Eugene A. Gibbs-Flournoy (1 shared paper)
- Journals
- Toxicological Sciences (1 paper)Toxicologic Pathology (1 paper)Reproductive Toxicology (1 paper)Endocrinology (1 paper)The Annual Review of Pharmacology and Toxicology (1 paper)
- Partner nations
- United States
In The Last Decade
Casey E. Reed
8 papers receiving 292 citations
Peers
Comparison fields: 5 of 70
- Health, Toxicology and Mutagenesis 134
- Environmental Chemistry 34
- Reproductive Medicine 25
- Physiology 11
- Cancer Research 32
Countries citing papers authored by Casey E. Reed
This map shows the geographic impact of Casey E. Reed'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 Casey E. Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey E. Reed more than expected).
Fields of papers citing papers by Casey E. Reed
This network shows the impact of papers produced by Casey E. Reed. 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 Casey E. Reed. The network helps show where Casey E. Reed may publish in the future.
Co-authors
The 24 scholars most cited alongside Casey E. Reed, 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 | 2013 | 120 | |
| 2 | 2011 | 62 | |
| 3 | 2013 | 54 | |
| 4 | 2011 | 31 | |
| 5 | 2016 | 17 | |
| 6 | 2013 | 12 | |
| 7 | Applying phenotypes to operationalize high-yield clinical features derived from a heuristic artificial intelligence model for a rare disease in the EHR. | 2020 | 1 |
| 8 | 2011 | 1 | |
| 9 | 2024 | 0 |
About Casey E. Reed
Casey E. Reed is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry, Molecular Biology, Pediatrics, Perinatology and Child Health and Oncology, having authored 9 papers that have together received 298 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (4 papers), Toxic Organic Pollutants Impact (4 papers), Per- and polyfluoroalkyl substances research (2 papers), Estrogen and related hormone effects (1 paper), Biomedical Text Mining and Ontologies (1 paper), Air Quality and Health Impacts (1 paper), Health, Environment, Cognitive Aging (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (134 citations), Environmental Chemistry (34 citations), Reproductive Medicine (25 citations), Physiology (11 citations) and Cancer Research (32 citations). Casey E. Reed has collaborated with scholars based in United States. Frequent co-authors include Suzanne E. Fenton, Retha R. Newbold, Katherine J. Hamilton, Kenneth S. Korach, Patricia Stockton, Karina F. Rodriguez, Yi Lu, Eugene A. Gibbs-Flournoy, Erin P. Hines and Jason P. Stanko. Their work appears in journals such as Toxicological Sciences, Toxicologic Pathology, Reproductive Toxicology, Endocrinology and The Annual Review of Pharmacology and Toxicology.
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.