Casey E. Reed

425 total citations
9 papers, 294 citations indexed

About

Casey E. Reed is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Molecular Biology. According to data from OpenAlex, Casey E. Reed has authored 9 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 2 papers in Environmental Chemistry and 1 paper in Molecular Biology. Recurrent topics in Casey E. Reed's work include Toxic Organic Pollutants Impact (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Per- and polyfluoroalkyl substances research (2 papers). Casey E. Reed is often cited by papers focused on Toxic Organic Pollutants Impact (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Per- and polyfluoroalkyl substances research (2 papers). Casey E. Reed collaborates with scholars based in United States. Casey E. Reed's co-authors include Suzanne E. Fenton, Retha R. Newbold, Kenneth S. Korach, Katherine J. Hamilton, Patricia Stockton, Karina F. Rodriguez, Jason P. Stanko, Darlene Dixon, Erin P. Hines and Alicia B. Moore and has published in prestigious journals such as Endocrinology, The Annual Review of Pharmacology and Toxicology and Biology of Reproduction.

In The Last Decade

Casey E. Reed

8 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Casey E. Reed United States 6 146 71 59 50 45 9 294
Tessie Paulose United States 8 179 1.2× 55 0.8× 47 0.8× 63 1.3× 41 0.9× 10 328
Gabriela A. Altamirano Argentina 12 201 1.4× 49 0.7× 43 0.7× 34 0.7× 15 0.3× 17 351
Clarisa Guillermina Santamaría Argentina 11 314 2.2× 45 0.6× 45 0.8× 86 1.7× 55 1.2× 17 446
Alison M. Neff United States 11 156 1.1× 35 0.5× 44 0.7× 39 0.8× 28 0.6× 18 335
Tung-Chin Chiang United States 10 84 0.6× 89 1.3× 166 2.8× 44 0.9× 43 1.0× 20 398
Frances Xin United States 10 390 2.7× 66 0.9× 151 2.6× 39 0.8× 142 3.2× 13 612
Jessica Belmonte United States 5 151 1.0× 44 0.6× 69 1.2× 35 0.7× 29 0.6× 7 302
Richard Morrissey United States 9 225 1.5× 55 0.8× 54 0.9× 30 0.6× 22 0.5× 11 465
Dany Plourde Canada 10 64 0.4× 46 0.6× 115 1.9× 113 2.3× 19 0.4× 13 281
Nikola Sekulovski United States 12 277 1.9× 31 0.4× 118 2.0× 52 1.0× 40 0.9× 21 524

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-authorship network of co-authors of Casey E. Reed

This figure shows the co-authorship network connecting the top 25 collaborators of Casey E. Reed. A scholar is included among the top collaborators of Casey E. Reed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Casey E. Reed. Casey E. Reed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Bruno, Marianna, et al.. (2020). Applying phenotypes to operationalize high-yield clinical features derived from a heuristic artificial intelligence model for a rare disease in the EHR.. AMIA. 1 indexed citations
3.
Foley, Julie F., Bentley R. Midkiff, Casey E. Reed, et al.. (2016). Mammary Gland Evaluation in Juvenile Toxicity Studies. Toxicologic Pathology. 44(7). 1034–1058. 17 indexed citations
4.
Burns, Katherine A., Leah M. Zorrilla, Katherine J. Hamilton, et al.. (2013). A Single Gestational Exposure to 2,3,7,8-Tetrachlorodibenzo-p-dioxin Disrupts the Adult Uterine Response to Estradiol in Mice. Toxicological Sciences. 136(2). 514–526. 12 indexed citations
5.
Rodriguez, Karina F., et al.. (2013). The Absence of ER-β Results in Altered Gene Expression in Ovarian Granulosa Cells Isolated From In Vivo Preovulatory Follicles. Endocrinology. 154(6). 2174–2187. 51 indexed citations
6.
Reed, Casey E. & Suzanne E. Fenton. (2013). Exposure to diethylstilbestrol during sensitive life stages: A legacy of heritable health effects. Birth Defects Research Part C Embryo Today Reviews. 99(2). 134–146. 119 indexed citations
7.
Dixon, Darlene, Casey E. Reed, Alicia B. Moore, et al.. (2011). Histopathologic changes in the uterus, cervix and vagina of immature CD-1 mice exposed to low doses of perfluorooctanoic acid (PFOA) in a uterotrophic assay. Reproductive Toxicology. 33(4). 506–512. 31 indexed citations
8.
Fenton, Suzanne E., Casey E. Reed, & Retha R. Newbold. (2011). Perinatal Environmental Exposures Affect Mammary Development, Function, and Cancer Risk in Adulthood. The Annual Review of Pharmacology and Toxicology. 52(1). 455–479. 62 indexed citations
9.
Rodriguez, Karina F., Patricia Stockton, Katherine J. Hamilton, Casey E. Reed, & Kenneth S. Korach. (2011). The Absence of ERbeta Results in Altered Gene Expression in Ovarian Granulosa and Theca Cells from In-Vivo Preovulatory Follicles.. Biology of Reproduction. 85(Suppl_1). 707–707. 1 indexed citations

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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