Scott M. Weir

48 total papers · 870 total citations
27 papers, 376 citations indexed

About

Scott M. Weir is a scholar working on Health, Toxicology and Mutagenesis, Global and Planetary Change and Pollution. According to data from OpenAlex, Scott M. Weir has authored 27 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Health, Toxicology and Mutagenesis, 12 papers in Global and Planetary Change and 10 papers in Pollution. Recurrent topics in Scott M. Weir's work include Environmental Toxicology and Ecotoxicology (15 papers), Amphibian and Reptile Biology (11 papers) and Insect and Pesticide Research (8 papers). Scott M. Weir is often cited by papers focused on Environmental Toxicology and Ecotoxicology (15 papers), Amphibian and Reptile Biology (11 papers) and Insect and Pesticide Research (8 papers). Scott M. Weir collaborates with scholars based in United States and Japan. Scott M. Weir's co-authors include Christopher J. Salice, Jamie G. Suski, Larry G. Talent, Todd A. Anderson, Shuangying Yu, Jonathan D. Maul, Donald W. Sparling, Kimberly J. Wooten, Philip N. Smith and David E. Scott and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Scott M. Weir

26 papers receiving 369 citations

Author Peers

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

Author Last Decade Papers Cites
Scott M. Weir 180 112 102 97 97 27 376
Holly J. Puglis 134 0.7× 58 0.5× 52 0.5× 96 1.0× 71 0.7× 21 337
S. V. Krishnamurthy 155 0.9× 78 0.7× 67 0.7× 77 0.8× 214 2.2× 34 391
Marc Roucaute 143 0.8× 93 0.8× 89 0.9× 101 1.0× 31 0.3× 17 350
María Teresa Sandoval 183 1.0× 45 0.4× 36 0.4× 154 1.6× 106 1.1× 23 346
Andrés Egea‐Serrano 153 0.8× 129 1.2× 61 0.6× 104 1.1× 227 2.3× 16 402
Giuseppina Messina 86 0.5× 122 1.1× 29 0.3× 82 0.8× 98 1.0× 28 415
Norman L. Anderson 162 0.9× 183 1.6× 46 0.5× 68 0.7× 39 0.4× 21 390
Josefina Vera-Candioti 236 1.3× 50 0.4× 63 0.6× 182 1.9× 79 0.8× 15 383
Cândida Shinn 235 1.3× 65 0.6× 26 0.3× 171 1.8× 65 0.7× 14 352
Charles L. McKenney 254 1.4× 149 1.3× 38 0.4× 75 0.8× 92 0.9× 18 421

Countries citing papers authored by Scott M. Weir

Since Specialization
Citations

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

Fields of papers citing papers by Scott M. Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott M. Weir. 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 Scott M. Weir. The network helps show where Scott M. Weir may publish in the future.

Co-authorship network of co-authors of Scott M. Weir

This figure shows the co-authorship network connecting the top 25 collaborators of Scott M. Weir. A scholar is included among the top collaborators of Scott M. Weir 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 Scott M. Weir. Scott M. Weir 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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