William T. Beaudry

58 total papers · 1.0k total citations
28 papers, 861 citations indexed

About

William T. Beaudry is a scholar working on Organic Chemistry, Pollution and Plant Science. According to data from OpenAlex, William T. Beaudry has authored 28 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 10 papers in Pollution and 10 papers in Plant Science. Recurrent topics in William T. Beaudry's work include Pesticide and Herbicide Environmental Studies (10 papers), Pesticide Exposure and Toxicity (10 papers) and Chemical Reaction Mechanisms (5 papers). William T. Beaudry is often cited by papers focused on Pesticide and Herbicide Environmental Studies (10 papers), Pesticide Exposure and Toxicity (10 papers) and Chemical Reaction Mechanisms (5 papers). William T. Beaudry collaborates with scholars based in United States, Switzerland and France. William T. Beaudry's co-authors include Linda L. Szafraniec, Yu Chu Yang, J. Richard Ward, D. K. Rohrbaugh, Clifford A. Bunton, Yu-Chu Yang, Steven P. Harvey, Joseph DeFrank, Frederic J. Berg and Anurag Kumar and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry and Chemico-Biological Interactions.

In The Last Decade

William T. Beaudry

28 papers receiving 803 citations

Author Peers

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

Author Last Decade Papers Cites
William T. Beaudry 468 322 285 183 102 28 861
Linda L. Szafraniec 478 1.0× 322 1.0× 356 1.2× 190 1.0× 107 1.0× 38 1.0k
Ishay Columbus 280 0.6× 124 0.4× 328 1.2× 96 0.5× 75 0.7× 54 837
Meehir Palit 283 0.6× 115 0.4× 110 0.4× 139 0.8× 85 0.8× 40 703
Steven R. Caldwell 290 0.6× 516 1.6× 215 0.8× 206 1.1× 62 0.6× 13 915
Michael Elliott 339 0.7× 163 0.5× 225 0.8× 63 0.3× 303 3.0× 58 883
Marc‐Michael Blum 257 0.5× 178 0.6× 136 0.5× 109 0.6× 42 0.4× 31 768
Jane M. Kuo 276 0.6× 449 1.4× 205 0.7× 129 0.7× 23 0.2× 13 1.0k
Azar Shahpiri 269 0.6× 99 0.3× 125 0.4× 120 0.7× 35 0.3× 46 770
Stanisław Popiel 212 0.5× 124 0.4× 50 0.2× 232 1.3× 45 0.4× 49 702
John E. Franz 419 0.9× 329 1.0× 346 1.2× 39 0.2× 29 0.3× 25 996

Countries citing papers authored by William T. Beaudry

Since Specialization
Citations

This map shows the geographic impact of William T. Beaudry'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 William T. Beaudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Beaudry more than expected).

Fields of papers citing papers by William T. Beaudry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William T. Beaudry. 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 William T. Beaudry. The network helps show where William T. Beaudry may publish in the future.

Co-authorship network of co-authors of William T. Beaudry

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Beaudry. A scholar is included among the top collaborators of William T. Beaudry 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 William T. Beaudry. William T. Beaudry 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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