Steven D. Turley

26 total papers · 629 total citations
20 papers, 502 citations indexed

About

Steven D. Turley is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Molecular Biology. According to data from OpenAlex, Steven D. Turley has authored 20 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 8 papers in Pollution and 3 papers in Molecular Biology. Recurrent topics in Steven D. Turley's work include Environmental Toxicology and Ecotoxicology (12 papers), Toxic Organic Pollutants Impact (7 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). Steven D. Turley is often cited by papers focused on Environmental Toxicology and Ecotoxicology (12 papers), Toxic Organic Pollutants Impact (7 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). Steven D. Turley collaborates with scholars based in United States and Iceland. Steven D. Turley's co-authors include Dennis T. Burton, Daniel J. Fisher, Gregory T. Peters, Lance T. Yonkos, Gregory P. Ziegler, Greg Linder, John A. Bantle, Robert A. Finch, James R. Rayburn and Douglas J. Fort and has published in prestigious journals such as Water Research, Chemosphere and Marine Pollution Bulletin.

In The Last Decade

Steven D. Turley

20 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Steven D. Turley 323 227 54 52 49 20 502
Céline Surette 273 0.8× 218 1.0× 68 1.3× 37 0.7× 39 0.8× 21 594
David Rosain 364 1.1× 272 1.2× 54 1.0× 58 1.1× 69 1.4× 19 595
G. Persoone 240 0.7× 182 0.8× 47 0.9× 88 1.7× 33 0.7× 32 501
Daniel Salvito 284 0.9× 352 1.6× 38 0.7× 93 1.8× 48 1.0× 21 569
Kevin H. Reinert 359 1.1× 313 1.4× 50 0.9× 76 1.5× 24 0.5× 27 599
AP Jarvis 284 0.9× 217 1.0× 28 0.5× 122 2.3× 43 0.9× 20 580
Fábio Hermes Pusceddu 290 0.9× 382 1.7× 57 1.1× 71 1.4× 28 0.6× 25 594
Flávia Yoshie Yamamoto 349 1.1× 221 1.0× 35 0.6× 38 0.7× 48 1.0× 29 506
Tommy R. Shedd 255 0.8× 157 0.7× 83 1.5× 35 0.7× 68 1.4× 19 450
Doris E. Vidal‐Dorsch 289 0.9× 297 1.3× 97 1.8× 27 0.5× 46 0.9× 18 604

Countries citing papers authored by Steven D. Turley

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Turley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Turley. 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 Steven D. Turley. The network helps show where Steven D. Turley may publish in the future.

Co-authorship network of co-authors of Steven D. Turley

This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Turley. A scholar is included among the top collaborators of Steven D. Turley 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 Steven D. Turley. Steven D. Turley 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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