Doris Smith

817 total citations
7 papers, 326 citations indexed

About

Doris Smith is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Physical and Theoretical Chemistry. According to data from OpenAlex, Doris Smith has authored 7 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 4 papers in Computational Theory and Mathematics and 3 papers in Physical and Theoretical Chemistry. Recurrent topics in Doris Smith's work include Computational Drug Discovery Methods (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and History and advancements in chemistry (3 papers). Doris Smith is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and History and advancements in chemistry (3 papers). Doris Smith collaborates with scholars based in United States, Denmark and Netherlands. Doris Smith's co-authors include James T. Vail, Richard Judson, Sumit Gangwal, Peter Egeghy, Elaine A. Cohen Hubal, Alicia M. Frame, Tommy Cathey, Alexi Ernstoff, Kathie L. Dionisio and Peter Fantke and has published in prestigious journals such as The Science of The Total Environment, International Journal of Molecular Sciences and Toxicological Sciences.

In The Last Decade

Doris Smith

6 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Doris Smith United States	4	189	93	49	44	44	7	326
Elton Zvinavashe Netherlands	8	139 0.7×	170 1.8×	48 1.0×	48 1.1×	44 1.0×	8	318
Paul S. Price United States	12	324 1.7×	63 0.7×	69 1.4×	54 1.2×	43 1.0×	23	530
Tommy Cathey United States	7	211 1.1×	163 1.8×	77 1.6×	156 3.5×	44 1.0×	8	467
James T. Vail United States	8	187 1.0×	92 1.0×	48 1.0×	97 2.2×	42 1.0×	10	436
Michael Comber United Kingdom	8	191 1.0×	184 2.0×	59 1.2×	65 1.5×	57 1.3×	10	544
Robert Diderich France	4	102 0.5×	150 1.6×	59 1.2×	53 1.2×	55 1.3×	5	309
Prachi Pradeep United States	14	192 1.0×	166 1.8×	127 2.6×	60 1.4×	68 1.5×	23	442
Sid Hunter United States	4	207 1.1×	133 1.4×	97 2.0×	105 2.4×	31 0.7×	5	419
Alexander Böhme Germany	13	205 1.1×	59 0.6×	26 0.5×	101 2.3×	60 1.4×	27	559
Alina Efremenko United States	11	172 0.9×	52 0.6×	59 1.2×	72 1.6×	49 1.1×	20	316

Countries citing papers authored by Doris Smith

Since Specialization

Citations

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

Fields of papers citing papers by Doris Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doris Smith

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

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.

2.

Weitekamp, Chelsea A., Katie Paul Friedman, Alison H. Harrill, et al.. (2025). Quantitative and qualitative concordance between clinical and nonclinical toxicity data. Toxicological Sciences. 206(2). 253–272. 1 indexed citations

3.

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

4.

Dionisio, Kathie L., Alicia M. Frame, John F. Wambaugh, et al.. (2015). Exploring consumer exposure pathways and patterns of use for chemicals in the environment. Toxicology Reports. 2. 228–237. 92 indexed citations

5.

Judson, Richard, Matthew T. Martin, Peter Egeghy, et al.. (2012). Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System. International Journal of Molecular Sciences. 13(2). 1805–1831. 73 indexed citations

6.

Egeghy, Peter, Richard Judson, Sumit Gangwal, et al.. (2011). The exposure data landscape for manufactured chemicals. The Science of The Total Environment. 414. 159–166. 151 indexed citations

7.

Smith, Doris, et al.. (1980). Cytotoxicity of oxymetholone to endothelial cells in vitro.. PubMed. 104(8). 405–8. 6 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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