Caroline Ring

1.4k total citations
39 papers, 845 citations indexed

About

Caroline Ring is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Small Animals. According to data from OpenAlex, Caroline Ring has authored 39 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Health, Toxicology and Mutagenesis, 9 papers in Cancer Research and 6 papers in Small Animals. Recurrent topics in Caroline Ring's work include Effects and risks of endocrine disrupting chemicals (16 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Computational Drug Discovery Methods (6 papers). Caroline Ring is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (16 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Computational Drug Discovery Methods (6 papers). Caroline Ring collaborates with scholars based in United States, Canada and South Africa. Caroline Ring's co-authors include John F. Wambaugh, R. Woodrow Setzer, Barbara A. Wetmore, Robert G. Pearce, Katherine A. Phillips, Nisha S. Sipes, Julia E. Rager, Mina Suh, Dustin F. Kapraun and Chad M. Thompson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Caroline Ring

37 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Ring United States 15 519 171 157 143 132 39 845
Emiel Rorije Netherlands 22 449 0.9× 167 1.0× 153 1.0× 191 1.3× 201 1.5× 72 1.1k
Andrew J. Shapiro United States 11 465 0.9× 135 0.8× 109 0.7× 100 0.7× 115 0.9× 19 773
Bette Meek Canada 12 480 0.9× 98 0.6× 181 1.2× 108 0.8× 174 1.3× 18 1.2k
Andrea-Nicole Richarz United Kingdom 17 310 0.6× 181 1.1× 44 0.3× 232 1.6× 102 0.8× 28 822
Michelle Angrish United States 19 402 0.8× 102 0.6× 97 0.6× 210 1.5× 332 2.5× 31 1.1k
Miyoung Yoon United States 20 797 1.5× 172 1.0× 186 1.2× 127 0.9× 128 1.0× 69 1.5k
Tara S. Barton‐Maclaren Canada 18 623 1.2× 284 1.7× 232 1.5× 326 2.3× 314 2.4× 35 1.3k
Hisham El‐Masri United States 24 597 1.2× 91 0.5× 287 1.8× 212 1.5× 226 1.7× 56 1.2k
Kimberly Freeman United States 14 301 0.6× 159 0.9× 110 0.7× 147 1.0× 110 0.8× 19 749
Rebecca A. Clewell United States 26 947 1.8× 205 1.2× 346 2.2× 154 1.1× 475 3.6× 63 1.7k

Countries citing papers authored by Caroline Ring

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Ring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Ring. 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 Caroline Ring. The network helps show where Caroline Ring may publish in the future.

Co-authorship network of co-authors of Caroline Ring

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

All Works

20 of 20 papers shown
1.
Zurlinden, Todd J., et al.. (2025). Estimation of species- and sex-specific PFAS pharmacokinetics in mice, rats, and non-human primates using a Bayesian hierarchical methodology. Toxicology and Applied Pharmacology. 499. 117336–117336. 2 indexed citations
2.
Wambaugh, John F., et al.. (2025). A Simple Physiologically Based Toxicokinetic Model for Multi-Route In Vitro–In Vivo Extrapolation. Environmental Science & Technology Letters. 12(3). 261–268. 1 indexed citations
3.
Hamid, Noorashrina A., Caroline Ring, & Muaz Mohd Zaini Makhtar. (2025). Comparative assessment of hydrochars derived from chicken manure and sewage sludge via hydrothermal carbonization: Combustion behavior and kinetic analysis using the Coats–Redfern method. Journal of the Indian Chemical Society. 103(1). 102354–102354.
4.
Roell, Kyle R., Lauren A. Eaves, Chih‐Ping Chou, et al.. (2025). TAME 2.0: expanding and improving online data science training for environmental health research. Frontiers in Toxicology. 7. 1535098–1535098.
5.
Nelms, Mark, Caroline Ring, Danni L. Harris, et al.. (2024). Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models. SHILAP Revista de lepidopterología. 6. 1346767–1346767. 1 indexed citations
6.
Edwards, Stephen W., Mark Nelms, Caroline Ring, et al.. (2024). Optimizing androgen receptor prioritization using high-throughput assay-based activity models. SHILAP Revista de lepidopterología. 6. 1347364–1347364. 2 indexed citations
7.
Blanchette, Robert A., Laurie C. Haws, Kevin W. Franke, et al.. (2024). Systematic update to the mammalian relative potency estimate database and development of best estimate toxic equivalency factors for dioxin-like compounds. Regulatory Toxicology and Pharmacology. 147. 105571–105571. 1 indexed citations
8.
Ring, Caroline, Alexander D. Blanchette, William D. Klaren, et al.. (2023). A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds. Regulatory Toxicology and Pharmacology. 143. 105464–105464. 3 indexed citations
9.
Wikoff, Daniele, Caroline Ring, Michael J. DeVito, et al.. (2023). Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment. Regulatory Toxicology and Pharmacology. 145. 105500–105500. 6 indexed citations
10.
Buckley, Timothy J., Peter Egeghy, Kristin Isaacs, et al.. (2023). Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency. Environment International. 178. 108097–108097. 10 indexed citations
11.
Roell, Kyle R., Rebecca Boyles, Grace Patlewicz, et al.. (2022). Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research. SHILAP Revista de lepidopterología. 4. 893924–893924. 6 indexed citations
12.
Isaacs, Kristin, Peter Egeghy, Kathie L. Dionisio, et al.. (2022). The chemical landscape of high-throughput new approach methodologies for exposure. Journal of Exposure Science & Environmental Epidemiology. 32(6). 820–832. 25 indexed citations
13.
Ring, Caroline, Nisha S. Sipes, Jui‐Hua Hsieh, et al.. (2021). Predictive modeling of biological responses in the rat liver using in vitro Tox21 bioactivity: Benefits from high-throughput toxicokinetics. Computational Toxicology. 18. 100166–100166. 34 indexed citations
14.
Breen, Miyuki, et al.. (2021). High-throughput PBTK models for in vitro to in vivo extrapolation. Expert Opinion on Drug Metabolism & Toxicology. 17(8). 903–921. 53 indexed citations
15.
Pinto, Caroline, et al.. (2020). High-throughput screening tools facilitate calculation of a combined exposure-bioactivity index for chemicals with endocrine activity. Environment International. 137. 105470–105470. 13 indexed citations
16.
Wambaugh, John F., Barbara A. Wetmore, Caroline Ring, et al.. (2019). Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization. Toxicological Sciences. 172(2). 235–251. 51 indexed citations
17.
Wikoff, Daniele, Laurie C. Haws, Caroline Ring, & Robert A. Budinsky. (2019). Application of qualitative and quantitative uncertainty assessment tools in developing ranges of plausible toxicity values for 2,3,7,8‐tetrachlorodibenzo‐p‐dioxin. Journal of Applied Toxicology. 39(9). 1293–1310. 3 indexed citations
18.
Wambaugh, John F., Michael F. Hughes, Caroline Ring, et al.. (2018). Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics. Toxicological Sciences. 163(1). 152–169. 99 indexed citations
19.
Ring, Caroline, Jon A. Arnot, Deborah H. Bennett, et al.. (2018). Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways. Environmental Science & Technology. 53(2). 719–732. 94 indexed citations
20.
Urban, Jonathan D., Daniele Wikoff, Laurie C. Haws, et al.. (2018). Systematic review and meta-regression to characterize the dose-response relationship between exposure to dioxin-like compounds during sensitive windows of development and reduced sperm count. Zenodo (CERN European Organization for Nuclear Research). 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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