Gary LaFleur

19 total papers · 994 total citations
17 papers, 839 citations indexed

About

Gary LaFleur is a scholar working on Pollution, Physiology and Ecology. According to data from OpenAlex, Gary LaFleur has authored 17 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pollution, 5 papers in Physiology and 4 papers in Ecology. Recurrent topics in Gary LaFleur's work include Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Reproductive biology and impacts on aquatic species (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Gary LaFleur is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Reproductive biology and impacts on aquatic species (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Gary LaFleur collaborates with scholars based in United States, Russia and Ghana. Gary LaFleur's co-authors include Raj Boopathy, Rajkumar Nathaniel, Scott Bergeron, Paul W. Sammarco, Peter Thomas, Gary M. Wessel, Joan Cerdà, Nancy D. Denslow, Robin A. Wallace and Walburga Croteau and has published in prestigious journals such as Bioresource Technology, Endocrinology and Biology of Reproduction.

In The Last Decade

Gary LaFleur

17 papers receiving 816 citations

Author Peers

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

Author Last Decade Papers Cites
Gary LaFleur 288 242 185 177 138 17 839
Jean Bachmann 500 1.7× 89 0.4× 41 0.2× 95 0.5× 18 0.1× 24 985
Roberta Sauerborn Klobučar 251 0.9× 46 0.2× 175 0.9× 103 0.6× 7 0.1× 25 875
P. Martel 126 0.4× 207 0.9× 112 0.6× 72 0.4× 9 0.1× 42 832
Meng Long 262 0.9× 32 0.1× 233 1.3× 204 1.2× 9 0.1× 34 1.0k
María Eugenia Valdés 509 1.8× 67 0.3× 45 0.2× 39 0.2× 18 0.1× 20 716
Francesco Ricciardi 414 1.4× 139 0.6× 92 0.5× 176 1.0× 2 0.0× 17 999
Lisa S. Ortego 335 1.2× 74 0.3× 75 0.4× 61 0.3× 4 0.0× 28 791
Angela Krüger 165 0.6× 103 0.4× 49 0.3× 252 1.4× 2 0.0× 23 739
Christopher P. Tatara 96 0.3× 36 0.1× 137 0.7× 151 0.9× 4 0.0× 30 722
Ed Wirth 358 1.2× 35 0.1× 86 0.5× 268 1.5× 4 0.0× 38 938

Countries citing papers authored by Gary LaFleur

Since Specialization
Citations

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

Fields of papers citing papers by Gary LaFleur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary LaFleur. 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 Gary LaFleur. The network helps show where Gary LaFleur may publish in the future.

Co-authorship network of co-authors of Gary LaFleur

This figure shows the co-authorship network connecting the top 25 collaborators of Gary LaFleur. A scholar is included among the top collaborators of Gary LaFleur 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 Gary LaFleur. Gary LaFleur 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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