Scott W. Behie

22 total papers · 2.0k total citations
17 papers, 1.3k citations indexed

About

Scott W. Behie is a scholar working on Plant Science, Insect Science and Molecular Biology. According to data from OpenAlex, Scott W. Behie has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Insect Science and 3 papers in Molecular Biology. Recurrent topics in Scott W. Behie's work include Nematode management and characterization studies (9 papers), Entomopathogenic Microorganisms in Pest Control (7 papers) and Mycorrhizal Fungi and Plant Interactions (6 papers). Scott W. Behie is often cited by papers focused on Nematode management and characterization studies (9 papers), Entomopathogenic Microorganisms in Pest Control (7 papers) and Mycorrhizal Fungi and Plant Interactions (6 papers). Scott W. Behie collaborates with scholars based in Canada, United States and Brazil. Scott W. Behie's co-authors include Michael Bidochka, Paul M. Zelisko, Larissa Barelli, Samantha Jones, Soumya Moonjely, Matthew F. Traxler, Vineetha M. Zacharia, Alison S. Waller, Rita de Cássia Pessotti and Allen H. Goldstein and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Scott W. Behie

17 papers receiving 1.3k 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 W. Behie 820 720 321 213 168 17 1.3k
Bamisope Steve Bamisile 752 0.9× 868 1.2× 410 1.3× 187 0.9× 145 0.9× 37 1.3k
Surendra K. Dara 691 0.8× 693 1.0× 269 0.8× 281 1.3× 75 0.4× 43 1.2k
Christine Delaruelle 1.1k 1.3× 266 0.4× 356 1.1× 133 0.6× 347 2.1× 22 1.2k
Andrii P. Gryganskyi 1.2k 1.4× 394 0.5× 299 0.9× 228 1.1× 500 3.0× 26 1.6k
Tiina Rajala 816 1.0× 712 1.0× 115 0.4× 392 1.8× 219 1.3× 18 1.1k
Jean‐Claude Debaud 1.1k 1.3× 435 0.6× 260 0.8× 199 0.9× 279 1.7× 35 1.3k
Ryan M. Kepler 1.0k 1.3× 1.1k 1.6× 399 1.2× 247 1.2× 436 2.6× 28 1.8k
H.T. Tribe 1.1k 1.3× 243 0.3× 152 0.5× 146 0.7× 426 2.5× 33 1.3k
Reza Sohrabi 1.1k 1.3× 195 0.3× 566 1.8× 231 1.1× 163 1.0× 13 1.5k
G. Gay 1.5k 1.8× 211 0.3× 308 1.0× 141 0.7× 140 0.8× 42 1.6k

Countries citing papers authored by Scott W. Behie

Since Specialization
Citations

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

Fields of papers citing papers by Scott W. Behie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott W. Behie

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