Risa Sayre

495 total citations
16 papers, 182 citations indexed

About

Risa Sayre is a scholar working on Health, Toxicology and Mutagenesis, Small Animals and Environmental Chemistry. According to data from OpenAlex, Risa Sayre has authored 16 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 3 papers in Small Animals and 3 papers in Environmental Chemistry. Recurrent topics in Risa Sayre's work include Effects and risks of endocrine disrupting chemicals (9 papers), Health, Environment, Cognitive Aging (5 papers) and Air Quality and Health Impacts (4 papers). Risa Sayre is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (9 papers), Health, Environment, Cognitive Aging (5 papers) and Air Quality and Health Impacts (4 papers). Risa Sayre collaborates with scholars based in United States, Switzerland and Italy. Risa Sayre's co-authors include John F. Wambaugh, Chris Grulke, Kristin Isaacs, R. Woodrow Setzer, Richard Judson, Christopher Lau, Daniel E. Dawson, Rogelio Tornero‐Velez, Prachi Pradeep and Steven D. Webb and has published in prestigious journals such as Environmental Science & Technology, Environmental Health Perspectives and Environment International.

In The Last Decade

Risa Sayre

15 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Risa Sayre United States	8	100	38	36	30	28	16	182
Ryan Lougee United States	4	60 0.6×	30 0.8×	36 1.0×	11 0.4×	50 1.8×	6	180
Lukas Linden Germany	7	112 1.1×	29 0.8×	31 0.9×	22 0.7×	39 1.4×	10	343
Dustin F. Kapraun United States	9	164 1.6×	23 0.6×	50 1.4×	26 0.9×	11 0.4×	24	288
Kristie Sullivan United States	9	84 0.8×	45 1.2×	11 0.3×	21 0.7×	76 2.7×	26	316
Doris Smith United States	4	189 1.9×	49 1.3×	44 1.2×	22 0.7×	93 3.3×	7	326
Chandrika Moudgal United States	6	93 0.9×	19 0.5×	23 0.6×	31 1.0×	102 3.6×	11	251
F. Gautier France	4	62 0.6×	90 2.4×	40 1.1×	16 0.5×	76 2.7×	7	205
M.M.M. Rasenberg United States	5	79 0.8×	54 1.4×	21 0.6×	34 1.1×	51 1.8×	12	177
Nicoleta Sp̂înu United Kingdom	9	106 1.1×	65 1.7×	26 0.7×	24 0.8×	102 3.6×	15	281
Martin Spendiff United Kingdom	5	111 1.1×	30 0.8×	12 0.3×	71 2.4×	40 1.4×	7	242

Countries citing papers authored by Risa Sayre

Since Specialization

Citations

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

Fields of papers citing papers by Risa Sayre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Risa Sayre

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

All Works

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16 of 16 papers shown

Sayre, Risa, Doris Smith, Jayne C. Hope, et al.. (2025). Development of the toxicity values database, ToxValDB: A curated resource for experimental and derived human health-relevant toxicity data. Computational Toxicology. 35. 100365–100365.

Setzer, R. Woodrow, et al.. (2024). Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data. Environmental Health Perspectives. 132(1). 17009–17009. 16 indexed citations

Phillips, Katherine A., Alex Chao, Kristin Favela, et al.. (2024). Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS. Environmental Science & Technology. 58(4). 1802–1812. 10 indexed citations

Judson, Richard, Doris Smith, Michael J. DeVito, et al.. (2024). A Comparison of In Vitro Points of Departure with Human Blood Levels for Per- and Polyfluoroalkyl Substances (PFAS). Toxics. 12(4). 271–271. 3 indexed citations

Kenyon, Elaina M., Robert G. Pearce, Risa Sayre, et al.. (2024). Impact of gut permeability on estimation of oral bioavailability for chemicals in commerce and the environment. ALTEX. 42(1). 56–74. 5 indexed citations

Dawson, Daniel E., Christopher Lau, Prachi Pradeep, et al.. (2023). A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species. Toxics. 11(2). 98–98. 31 indexed citations

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

Setzer, R. Woodrow, et al.. (2022). Bayesian inference of chemical exposures from NHANES urine biomonitoring data. Journal of Exposure Science & Environmental Epidemiology. 32(6). 833–846. 16 indexed citations

Sayre, Risa, R. Woodrow Setzer, Marc L. Serre, & John F. Wambaugh. (2022). Characterizing surface water concentrations of hundreds of organic chemicals in United States for environmental risk prioritization. Journal of Exposure Science & Environmental Epidemiology. 33(4). 610–619. 4 indexed citations

10.

Firman, James W., Michael R. Goldsmith, Chris Grulke, et al.. (2021). A Systematic Review of Published Physiologically-based Kinetic Models and an Assessment of their Chemical Space Coverage. Alternatives to Laboratory Animals. 49(5). 197–208. 25 indexed citations

11.

Sayre, Risa, John F. Wambaugh, & Chris Grulke. (2020). Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals. Scientific Data. 7(1). 122–122. 42 indexed citations

12.

Sayre, Risa, et al.. (2020). Development and evaluation of a high throughput inhalation model for organic chemicals. Journal of Exposure Science & Environmental Epidemiology. 30(5). 866–877. 16 indexed citations

13.

Sayre, Risa, et al.. (2019). Development of a Generalized Inhalation Model for use with the High-Throughput Toxicokinetics (httk) Package in R. Figshare. 1 indexed citations

14.

Sayre, Risa, John F. Wambaugh, & Chris Grulke. (2019). Database of Pharmacokinetic Time-Series Data and Parameters for Evaluating the Safety of Environmental Chemicals. Figshare. 1 indexed citations

15.

Sayre, Risa, et al.. (2018). A public database supporting evidence-based metabolomics. Figshare. 1 indexed citations

16.

Sayre, Risa, Woodrow Setzer, John F. Wambaugh, & Chris Grulke. (2018). A Method to Quantify Reproducibility in PBPK Model Methods and Results. Figshare. 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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