David S. McLagan

75 total papers · 1.0k total citations
30 papers, 755 citations indexed

About

David S. McLagan is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Ecology. According to data from OpenAlex, David S. McLagan has authored 30 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Health, Toxicology and Mutagenesis, 8 papers in Pollution and 4 papers in Ecology. Recurrent topics in David S. McLagan's work include Mercury impact and mitigation studies (24 papers), Toxic Organic Pollutants Impact (12 papers) and Air Quality and Health Impacts (12 papers). David S. McLagan is often cited by papers focused on Mercury impact and mitigation studies (24 papers), Toxic Organic Pollutants Impact (12 papers) and Air Quality and Health Impacts (12 papers). David S. McLagan collaborates with scholars based in Canada, Germany and Switzerland. David S. McLagan's co-authors include Carl P. J. Mitchell, Frank Wania, Ying Duan Lei, Haiyong Huang, Harald Biester, A. Steffen, Susan Bengtson Nash, Roger Cropp, Fabrizio Monaci and Martin Schlabach and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Water Research.

In The Last Decade

David S. McLagan

27 papers receiving 741 citations

Author Peers

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

Author Last Decade Papers Cites
David S. McLagan 617 181 156 117 77 30 755
Greg Lawson 396 0.6× 326 1.8× 133 0.9× 115 1.0× 112 1.5× 24 848
Matteo Dalla Valle 435 0.7× 299 1.7× 145 0.9× 157 1.3× 117 1.5× 18 873
David A. Roth 430 0.7× 296 1.6× 148 0.9× 144 1.2× 73 0.9× 32 907
Kohji Marumoto 662 1.1× 180 1.0× 145 0.9× 96 0.8× 69 0.9× 34 759
Alyssa E. Shiel 262 0.4× 338 1.9× 181 1.2× 72 0.6× 75 1.0× 24 818
A. N. Subramanian 662 1.1× 352 1.9× 123 0.8× 59 0.5× 46 0.6× 17 854
Sigurd Rognerud 373 0.6× 347 1.9× 214 1.4× 63 0.5× 45 0.6× 40 750
Daniel F. Araújo 418 0.7× 610 3.4× 210 1.3× 83 0.7× 90 1.2× 47 874
Claudio Bilos 511 0.8× 471 2.6× 119 0.8× 94 0.8× 82 1.1× 21 836
Jukka Särkkä 352 0.6× 154 0.9× 212 1.4× 27 0.2× 71 0.9× 36 713

Countries citing papers authored by David S. McLagan

Since Specialization
Citations

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

Fields of papers citing papers by David S. McLagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. McLagan. 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 David S. McLagan. The network helps show where David S. McLagan may publish in the future.

Co-authorship network of co-authors of David S. McLagan

This figure shows the co-authorship network connecting the top 25 collaborators of David S. McLagan. A scholar is included among the top collaborators of David S. McLagan 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 David S. McLagan. David S. McLagan 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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