William T. Hay

38 total papers · 638 total citations
36 papers, 485 citations indexed

About

William T. Hay is a scholar working on Plant Science, Food Science and Biomaterials. According to data from OpenAlex, William T. Hay has authored 36 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 10 papers in Food Science and 7 papers in Biomaterials. Recurrent topics in William T. Hay's work include Plant responses to elevated CO2 (7 papers), Mycotoxins in Agriculture and Food (5 papers) and Insect Pest Control Strategies (5 papers). William T. Hay is often cited by papers focused on Plant responses to elevated CO2 (7 papers), Mycotoxins in Agriculture and Food (5 papers) and Insect Pest Control Strategies (5 papers). William T. Hay collaborates with scholars based in United States, Canada and United Kingdom. William T. Hay's co-authors include Gordon W. Selling, George F. Fanta, Bruce F. Cullen, Ken Mackie, Frederick W. Cheney, Susan P. McCormick, Frederick C. Felker, Steven C. Peterson, Martha Vaughan and Robert W. Behle and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

William T. Hay

33 papers receiving 471 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. Hay 196 99 85 73 64 36 485
Marilene Oliveira da Rocha Borges 139 0.7× 69 0.7× 57 0.7× 28 0.4× 108 1.7× 26 483
Jie Xu 182 0.9× 91 0.9× 50 0.6× 20 0.3× 77 1.2× 32 473
Behzad Ebrahimi 56 0.3× 158 1.6× 159 1.9× 12 0.2× 112 1.8× 27 456
Mehtap Kara 70 0.4× 30 0.3× 20 0.2× 46 0.6× 87 1.4× 46 520
Ying Li 34 0.2× 58 0.6× 136 1.6× 52 0.7× 72 1.1× 27 533
Anna Taglienti 133 0.7× 79 0.8× 111 1.3× 18 0.2× 110 1.7× 33 469
Xiaoyun Ren 167 0.9× 80 0.8× 57 0.7× 29 0.4× 201 3.1× 22 472
Juliana de Oliveira 202 1.0× 42 0.4× 21 0.2× 26 0.4× 158 2.5× 40 548
Jue Wang 108 0.6× 71 0.7× 38 0.4× 15 0.2× 119 1.9× 22 496
Yung-Kai Lin 52 0.3× 48 0.5× 76 0.9× 42 0.6× 87 1.4× 43 420

Countries citing papers authored by William T. Hay

Since Specialization
Citations

This map shows the geographic impact of William T. Hay'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. Hay 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. Hay more than expected).

Fields of papers citing papers by William T. Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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