Katie B. Paul

847 total citations
8 papers, 717 citations indexed

About

Katie B. Paul is a scholar working on Health, Toxicology and Mutagenesis, Endocrinology, Diabetes and Metabolism and Pollution. According to data from OpenAlex, Katie B. Paul has authored 8 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 5 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Pollution. Recurrent topics in Katie B. Paul's work include Thyroid Disorders and Treatments (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). Katie B. Paul is often cited by papers focused on Thyroid Disorders and Treatments (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). Katie B. Paul collaborates with scholars based in United States. Katie B. Paul's co-authors include Kevin M. Crofton, Joan M. Hedge, Michael J. DeVito, Steven O. Simmons, Michael W. Hornung, Robert Peter, Ruby Bansal, R. Thomas Zoeller, Daniel M. Rotroff and John P. Vanden Heuvel and has published in prestigious journals such as Toxicological Sciences, Environmental Toxicology and Chemistry and Toxicology.

In The Last Decade

Katie B. Paul

8 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katie B. Paul United States	8	415	200	129	128	86	8	717
Joan M. Hedge United States	17	762 1.8×	233 1.2×	163 1.3×	250 2.0×	116 1.3×	22	1.2k
Daniel R. Hallinger United States	12	175 0.4×	54 0.3×	119 0.9×	129 1.0×	39 0.5×	17	548
Hai-Yen Man Netherlands	9	329 0.8×	202 1.0×	147 1.1×	26 0.2×	31 0.4×	10	564
Christy Lite India	13	318 0.8×	109 0.5×	172 1.3×	18 0.1×	46 0.5×	15	702
Nicolas J. Cabaton France	12	776 1.9×	205 1.0×	177 1.4×	14 0.1×	61 0.7×	18	994
Kristina Pogrmic‐Majkic Serbia	16	367 0.9×	176 0.9×	152 1.2×	22 0.2×	21 0.2×	42	765
Dayne L. Filer United States	11	412 1.0×	112 0.6×	188 1.5×	49 0.4×	51 0.6×	16	778
Woodrow Setzer United States	4	223 0.5×	109 0.5×	70 0.5×	25 0.2×	35 0.4×	6	440
Emily K. Gibson United States	4	287 0.7×	157 0.8×	71 0.6×	35 0.3×	56 0.7×	7	439
Mats Allmyr Sweden	5	328 0.8×	292 1.5×	125 1.0×	21 0.2×	78 0.9×	7	635

Countries citing papers authored by Katie B. Paul

Since Specialization

Citations

This map shows the geographic impact of Katie B. Paul'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 Katie B. Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katie B. Paul more than expected).

Fields of papers citing papers by Katie B. Paul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katie B. Paul. 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 Katie B. Paul. The network helps show where Katie B. Paul may publish in the future.

Co-authorship network of co-authors of Katie B. Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Katie B. Paul. A scholar is included among the top collaborators of Katie B. Paul 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 Katie B. Paul. Katie B. Paul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Paul, Katie B., Joan M. Hedge, Daniel M. Rotroff, et al.. (2014). Development of a Thyroperoxidase Inhibition Assay for High-Throughput Screening. Chemical Research in Toxicology. 27(3). 387–399. 89 indexed citations

Paul, Katie B., Jerry T. Thompson, Steven O. Simmons, John P. Vanden Heuvel, & Kevin M. Crofton. (2013). Evidence for triclosan-induced activation of human and rodent xenobiotic nuclear receptors. Toxicology in Vitro. 27(7). 2049–2060. 47 indexed citations

Paul, Katie B., Joan M. Hedge, Dayne L. Filer, et al.. (2013). Cross-species analysis of thyroperoxidase inhibition by xenobiotics demonstrates conservation of response between pig and rat. Toxicology. 312. 97–107. 41 indexed citations

Paul, Katie B., Joan M. Hedge, Ruby Bansal, et al.. (2012). Developmental triclosan exposure decreases maternal, fetal, and early neonatal thyroxine: A dynamic and kinetic evaluation of a putative mode-of-action. Toxicology. 300(1-2). 31–45. 103 indexed citations

Kleinstreuer, Nicole, David J. Dix, Keith A. Houck, et al.. (2012). In Vitro Perturbations of Targets in Cancer Hallmark Processes Predict Rodent Chemical Carcinogenesis. Toxicological Sciences. 131(1). 40–55. 52 indexed citations

Paul, Katie B., Joan M. Hedge, Michael J. DeVito, & Kevin M. Crofton. (2010). Developmental triclosan exposure decreases maternal and neonatal thyroxine in rats. Environmental Toxicology and Chemistry. 29(12). 2840–2844. 67 indexed citations

Paul, Katie B., Joan M. Hedge, Michael J. DeVito, & Kevin M. Crofton. (2009). Short-term Exposure to Triclosan Decreases Thyroxine In Vivo via Upregulation of Hepatic Catabolism in Young Long-Evans Rats. Toxicological Sciences. 113(2). 367–379. 118 indexed citations

Crofton, Kevin M., Katie B. Paul, Michael J. DeVito, & Joan M. Hedge. (2007). Short-term in vivo exposure to the water contaminant triclosan: Evidence for disruption of thyroxine. Environmental Toxicology and Pharmacology. 24(2). 194–197. 200 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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