Deborah S. Best

22 total papers · 771 total citations
19 papers, 639 citations indexed

About

Deborah S. Best is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Pollution. According to data from OpenAlex, Deborah S. Best has authored 19 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Pollution. Recurrent topics in Deborah S. Best's work include Water Treatment and Disinfection (6 papers), Toxic Organic Pollutants Impact (5 papers) and Chemical Analysis and Environmental Impact (5 papers). Deborah S. Best is often cited by papers focused on Water Treatment and Disinfection (6 papers), Toxic Organic Pollutants Impact (5 papers) and Chemical Analysis and Environmental Impact (5 papers). Deborah S. Best collaborates with scholars based in United States and Ireland. Deborah S. Best's co-authors include Michael G. Narotsky, Ralph L. Cooper, Lillian F. Strader, David J. Dix, Judith E. Schmid, Douglas C. Wolf, Chad R. Blystone, John C Rockett, Hongzu Ren and Amber K. Goetz and has published in prestigious journals such as Environmental Science & Technology, Environmental Health Perspectives and Toxicology and Applied Pharmacology.

In The Last Decade

Deborah S. Best

17 papers receiving 626 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Deborah S. Best	329	123	102	99	63	19	639
Inder P. Kapoor	303 0.9×	162 1.3×	70 0.7×	79 0.8×	40 0.6×	21	565
Parikshit Das	199 0.6×	116 0.9×	137 1.3×	109 1.1×	55 0.9×	20	611
Dayne L. Filer	410 1.2×	112 0.9×	49 0.5×	187 1.9×	70 1.1×	16	772
Christopher J. Borgert	508 1.5×	183 1.5×	87 0.9×	79 0.8×	120 1.9×	37	773
Joop de Knecht	212 0.6×	95 0.8×	73 0.7×	105 1.1×	36 0.6×	16	596
Vladimir S. Turusov	356 1.1×	126 1.0×	119 1.2×	142 1.4×	174 2.8×	15	741
Eiji Katsura	443 1.3×	276 2.2×	94 0.9×	89 0.9×	81 1.3×	19	747
Elise Grignard	441 1.3×	149 1.2×	57 0.6×	76 0.8×	70 1.1×	9	638
Sibylle Ermler	504 1.5×	215 1.7×	87 0.9×	89 0.9×	128 2.0×	23	767
Stephan Koslitz	424 1.3×	99 0.8×	96 0.9×	67 0.7×	102 1.6×	24	672

Countries citing papers authored by Deborah S. Best

Since Specialization

Citations

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

Fields of papers citing papers by Deborah S. Best

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah S. Best. 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 Deborah S. Best. The network helps show where Deborah S. Best may publish in the future.

Co-authorship network of co-authors of Deborah S. Best

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

All Works

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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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