Charlene A. McQueen

2.3k citations
66 papers · 1.8k indexed · h-index 24
Topics
Carcinogens and Genotoxicity Assessment (32 papers)Pesticide Exposure and Toxicity (12 papers)Pharmacogenetics and Drug Metabolism (9 papers)

In The Last Decade

Charlene A. McQueen

66 papers receiving 1.7k citations

Peers

Charlene A. McQueen
Comparison fields: 5 of 128
  • Molecular Biology 755
  • Cancer Research 738
  • Health, Toxicology and Mutagenesis 379
  • Plant Science 279
  • Pharmacology 234
Replace John G. DeLuca with:
John G. DeLuca United States
Gregory L. Kedderis United States
Wolfram Parzefall Austria
Matthew Bryant United States
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Charlene A. McQueen relative to John G. DeLuca United States John G. DeLuca's profile →
Citations per field
00.5×2.5×
John G. DeLuca · 1×
Citations per year

Countries citing papers authored by Charlene A. McQueen

Since Specialization
Citations

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

Fields of papers citing papers by Charlene A. McQueen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlene A. McQueen. 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 Charlene A. McQueen. The network helps show where Charlene A. McQueen may publish in the future.

Co-authorship network of co-authors of Charlene A. McQueen

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 31
2 16
3 4
4 15
5 16
6 19
7
Comprehensive toxicology on CD-ROM
1
8 71
9 10
10 3
11 79
12 3
13 12
14 14
15 11
16 43
17 10
18 118
19 18
20 22

About Charlene A. McQueen

Charlene A. McQueen is a scholar working on Cancer Research, Pharmacology and Pharmaceutical Science, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (32 papers), Pesticide Exposure and Toxicity (12 papers) and Pharmacogenetics and Drug Metabolism (9 papers). The work is most often cited by research in Cancer Research (738 citations), Chemical Health and Safety (24 citations) and Health, Toxicology and Mutagenesis (379 citations). Charlene A. McQueen has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Gary M. Williams, Hideki Mori, I.G. Sipes, John‐Michael Sauer, M.E. Meek, Daniel L. Villeneuve, Yu‐Mei Tan, Stephen W. Edwards, Wendell W. Weber and Carol J. Maslansky. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Analytical Biochemistry.

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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