Carter G. Naylor

30 total papers · 1.0k total citations
24 papers, 888 citations indexed

About

Carter G. Naylor is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Chemistry. According to data from OpenAlex, Carter G. Naylor has authored 24 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Health, Toxicology and Mutagenesis, 14 papers in Pollution and 10 papers in Environmental Chemistry. Recurrent topics in Carter G. Naylor's work include Pharmaceutical and Antibiotic Environmental Impacts (13 papers), Effects and risks of endocrine disrupting chemicals (13 papers) and Toxic Organic Pollutants Impact (12 papers). Carter G. Naylor is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (13 papers), Effects and risks of endocrine disrupting chemicals (13 papers) and Toxic Organic Pollutants Impact (12 papers). Carter G. Naylor collaborates with scholars based in United States and India. Carter G. Naylor's co-authors include Charles A. Staples, John Weeks, Frank J. Castaldi, James P. Mieure, William J. Adams, John P. Giesy, Shane A. Snyder, Kurunthachalam Kannan, William E. Gledhill and Gary M. Kleĉka and has published in prestigious journals such as Environmental Science & Technology, The Journal of Organic Chemistry and Environmental Toxicology and Chemistry.

In The Last Decade

Carter G. Naylor

24 papers receiving 826 citations

Author Peers

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

Author Last Decade Papers Cites
Carter G. Naylor 665 533 224 141 60 24 888
R. Toy 609 0.9× 485 0.9× 234 1.0× 116 0.8× 77 1.3× 20 926
James P. Mieure 481 0.7× 271 0.5× 197 0.9× 76 0.5× 91 1.5× 15 734
Haruna Watanabe 461 0.7× 377 0.7× 73 0.3× 90 0.6× 37 0.6× 40 904
Taizo Tsuda 731 1.1× 437 0.8× 155 0.7× 47 0.3× 103 1.7× 52 980
L. Karbe 574 0.9× 393 0.7× 56 0.3× 129 0.9× 60 1.0× 33 915
Sander C. van der Linden 658 1.0× 458 0.9× 67 0.3× 77 0.5× 54 0.9× 13 972
J. Besse 447 0.7× 690 1.3× 111 0.5× 82 0.6× 145 2.4× 8 969
Ulrike Bolz 612 0.9× 581 1.1× 53 0.2× 131 0.9× 86 1.4× 8 994
Rolf Ekelund 613 0.9× 363 0.7× 126 0.6× 100 0.7× 25 0.4× 18 768
Leo Puijker 592 0.9× 602 1.1× 64 0.3× 77 0.5× 96 1.6× 17 929

Countries citing papers authored by Carter G. Naylor

Since Specialization
Citations

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

Fields of papers citing papers by Carter G. Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carter G. Naylor. 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 Carter G. Naylor. The network helps show where Carter G. Naylor may publish in the future.

Co-authorship network of co-authors of Carter G. Naylor

This figure shows the co-authorship network connecting the top 25 collaborators of Carter G. Naylor. A scholar is included among the top collaborators of Carter G. Naylor 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 Carter G. Naylor. Carter G. Naylor 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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