John W. Cameron

907 total citations · 1 hit paper
3 papers, 863 citations indexed

About

John W. Cameron is a scholar working on Oncology, Pharmacology and Molecular Biology. According to data from OpenAlex, John W. Cameron has authored 3 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 2 papers in Pharmacology and 1 paper in Molecular Biology. Recurrent topics in John W. Cameron's work include Drug Transport and Resistance Mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Glutathione Transferases and Polymorphisms (1 paper). John W. Cameron is often cited by papers focused on Drug Transport and Resistance Mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Glutathione Transferases and Polymorphisms (1 paper). John W. Cameron collaborates with scholars based in United States and United Kingdom. John W. Cameron's co-authors include Ronald A. Lubet, Raymond W. Nims, Richard T. Mayer, F. Peter Guengerich, M.D. Burke, Thomas Wolff, Leonard M. Schechtman and Cindy E. McKinney and has published in prestigious journals such as Archives of Biochemistry and Biophysics, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Mutation Research Letters.

In The Last Decade

John W. Cameron

3 papers receiving 838 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dealkylation of pentoxyresorufin: A rapid and sensitive assay for measuring induction of cytochrome(s) P-450 by phenobarbital and other xenobiotics in the rat

1985 621 citations Ronald A. Lubet, Richard T. Mayer et al. Archives of Biochemistry and Biophysics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John W. Cameron United States	3	532	251	220	183	183	3	863
Guengerich Fp United States	13	558 1.0×	436 1.7×	207 0.9×	335 1.8×	147 0.8×	24	1.1k
G. F. Kahl Germany	16	418 0.8×	343 1.4×	219 1.0×	261 1.4×	282 1.5×	47	1.1k
Patricia Linko United States	18	587 1.1×	355 1.4×	229 1.0×	303 1.7×	325 1.8×	26	1.1k
J.A. Beamand United Kingdom	20	532 1.0×	566 2.3×	225 1.0×	263 1.4×	241 1.3×	34	1.4k
David A. Haugen United States	10	366 0.7×	343 1.4×	162 0.7×	172 0.9×	92 0.5×	23	760
J. Van Cantfort Belgium	15	352 0.7×	270 1.1×	204 0.9×	179 1.0×	138 0.8×	33	864
Janet C. Leutz United States	8	384 0.7×	243 1.0×	132 0.6×	276 1.5×	127 0.7×	11	696
Roberta J. Pohl United States	9	463 0.9×	298 1.2×	175 0.8×	258 1.4×	462 2.5×	11	1.2k
Stephen Murray United Kingdom	12	307 0.6×	202 0.8×	166 0.8×	178 1.0×	103 0.6×	16	641
M. Lang Finland	19	777 1.5×	443 1.8×	324 1.5×	238 1.3×	136 0.7×	36	1.3k

Countries citing papers authored by John W. Cameron

Since Specialization

Citations

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

Fields of papers citing papers by John W. Cameron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Cameron. 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 John W. Cameron. The network helps show where John W. Cameron may publish in the future.

Co-authorship network of co-authors of John W. Cameron

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

All Works

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3 of 3 papers shown

1.

Lubet, Ronald A., Cindy E. McKinney, John W. Cameron, F. Peter Guengerich, & Raymond W. Nims. (1989). Preferential activation of 6-aminochrysene and 2-aminoanthracene to mutagenic moieties by different forms of cytochrome P450 in hepatic 9000 × g supernatants from the rat. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 212(2). 275–284. 14 indexed citations

2.

Lubet, Ronald A., Richard T. Mayer, John W. Cameron, et al.. (1985). Dealkylation of pentoxyresorufin: A rapid and sensitive assay for measuring induction of cytochrome(s) P-450 by phenobarbital and other xenobiotics in the rat. Archives of Biochemistry and Biophysics. 238(1). 43–48. 621 indexed citations breakdown →

3.

Lubet, Ronald A., Raymond W. Nims, Richard T. Mayer, John W. Cameron, & Leonard M. Schechtman. (1985). Measurement of cytochrome P-450 dependent dealkylation of alkoxy-phenoxazones in hepatic S9s and hepatocyte homogenates: effects of dicumarol. Mutation Research Letters. 142(3). 127–131. 228 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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