Casey E. Reed

429 citations
10 papers · 340 · h-index 6

Impact in

Papers in

Casey E. Reed

8 papers receiving 328 citations

Peers

Casey E. Reed
Comparison fields: 5 of 72
  • Health, Toxicology and Mutagenesis 156
  • Environmental Chemistry 41
  • Reproductive Medicine 28
  • Cancer Research 39
  • Genetics 69
Replace Zina Wen with:
Zina Wen China
Clarisa Guillermina Santamaría Argentina
Tessie Paulose United States
Frances Xin United States
Marijn M. Brouwers Netherlands
Lori Cruze United States
Tung-Chin Chiang United States
M. R. Amezaga United Kingdom
Luka Sever United States
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Casey E. Reed relative to Zina Wen China Zina Wen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Casey E. Reed

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with Casey E. Reed Line = papers co-authored together Casey E. Reed links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2013136
2 201172
3 201357
4 201138
5 201621
6 201312
7 20153
8
Applying phenotypes to operationalize high-yield clinical features derived from a heuristic artificial intelligence model for a rare disease in the EHR.
20201
9 20140
10 20240

About Casey E. Reed

Casey E. Reed is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Genetics, having authored 10 papers that have together received 340 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 (3 papers), Birth, Development, and Health (2 papers), Air Quality and Health Impacts (2 papers), Estrogen and related hormone effects (2 papers), BRCA gene mutations in cancer (1 paper) and Male Breast Health Studies (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (156 citations), Environmental Chemistry (41 citations), Reproductive Medicine (28 citations), Cancer Research (39 citations) and Genetics (69 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 Steven Korach, Patricia S. Stockton, Karina F. Rodriguez, Wendy N. Jefferson, Eugene A. Gibbs-Flournoy, Darlene Dixon and Elizabeth A. Wallace. Their work appears in journals such as Birth Defects Research Part C Embryo Today Reviews, The Annual Review of Pharmacology and Toxicology, Toxicological Sciences, Toxicologic Pathology and Reproductive 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.

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