Brian E. McCarry

98 papers receiving 4.7k citations

Peers

Brian E. McCarry
Comparison fields: 5 of 109
  • Health, Toxicology and Mutagenesis 1.7k
  • Cancer Research 223
  • Water Science and Technology 276
  • Atmospheric Science 183
  • Immunology and Allergy 53
Replace Leonard Stephen Levy with:
Leonard Stephen Levy United Kingdom
Kazuichi Hayakawa Japan
Edo D. Pellizzari United States
Albrecht Paschke Germany
Dwayne J. Sutton United States
Guangke Li China
Glen R Shaw Australia
Jingchuan Xue United States
Ruijin Li China
Bruce A. Fowler United States
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Citations per field
00.5×10×20×26.5×
Leonard Stephen Levy · 1×
Citations per year

Countries citing papers authored by Brian E. McCarry

Since Specialization
Citations

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

Fields of papers citing papers by Brian E. McCarry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian E. McCarry. 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 Brian E. McCarry. The network helps show where Brian E. McCarry may publish in the future.

Co-authors

The 25 scholars most cited alongside Brian E. McCarry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian E. McCarry Line = papers co-authored together Brian E. McCarry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011343
2 2008320
3 2004268
4 2007198
5 1998174
6 2008162
7 1995159
8 2000144
9 2001141
10 2001130
11 2003116
12 1971110
13 199587
14 201686
15 199784
16 199984
17 200983
18 201079
19 200078
20 201574

About Brian E. McCarry

Brian E. McCarry is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology, Cancer Research, Biochemistry and Immunology and Allergy, having authored 98 papers that have together received 4.9k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (27 papers), Membrane Separation Technologies (8 papers), Carcinogens and Genotoxicity Assessment (7 papers), Lipid metabolism and biosynthesis (4 papers), Steroid Chemistry and Biochemistry (2 papers), Food Allergy and Anaphylaxis Research (2 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Petroleum Processing and Analysis (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.7k citations), Cancer Research (223 citations), Water Science and Technology (276 citations), Atmospheric Science (183 citations) and Immunology and Allergy (53 citations). Brian E. McCarry has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Chris H. Märvin, Christopher H. Marvin, Uwayemi M. Sofowote, Douglas W. Bryant, James M. Dickson, Ronald F. Childs, Ed Sverko, Eric J. Reiner, Laurie M. Allan and James S. Quinn. Their work appears in journals such as Environmental Science & Technology, Journal of the American Chemical Society, The Science of The Total Environment, Journal of Membrane Science and Polycyclic aromatic compounds.

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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