Wayne McLaughlin

85 total papers · 995 total citations
50 papers, 735 citations indexed

About

Wayne McLaughlin is a scholar working on Plant Science, Horticulture and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Wayne McLaughlin has authored 50 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 11 papers in Horticulture and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Wayne McLaughlin's work include Cocoa and Sweet Potato Agronomy (11 papers), Plant Pathogenic Bacteria Studies (10 papers) and Plant Virus Research Studies (10 papers). Wayne McLaughlin is often cited by papers focused on Cocoa and Sweet Potato Agronomy (11 papers), Plant Pathogenic Bacteria Studies (10 papers) and Plant Virus Research Studies (10 papers). Wayne McLaughlin collaborates with scholars based in Jamaica, United States and Mexico. Wayne McLaughlin's co-authors include Paul Brown, M. H. Ahmad, Henry Lowe, Ngeh J. Toyang, D. P. Maxwell, Manouchehr Hessabi, Megan L. Grove, Maureen Samms‐Vaughan, Jan Bressler and M. K. Nakhla and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Biotechnology Advances.

In The Last Decade

Wayne McLaughlin

48 papers receiving 685 citations

Author Peers

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

Author Last Decade Papers Cites
Wayne McLaughlin 310 100 89 80 79 50 735
Muhammad Naveed Aslam 575 1.9× 21 0.2× 50 0.6× 16 0.2× 92 1.2× 48 797
Ved Prakash 565 1.8× 24 0.2× 33 0.4× 43 0.5× 122 1.5× 47 790
Yuanyuan Wang 335 1.1× 55 0.6× 19 0.2× 13 0.2× 287 3.6× 42 817
Julián Rafael Dib 289 0.9× 36 0.4× 43 0.5× 20 0.3× 301 3.8× 36 768
Yun Li 212 0.7× 316 3.2× 82 0.9× 99 1.2× 127 1.6× 43 804
Chao Liu 251 0.8× 80 0.8× 11 0.1× 48 0.6× 399 5.1× 70 758
Hui Li 346 1.1× 10 0.1× 64 0.7× 12 0.1× 211 2.7× 50 776
Jing Lv 287 0.9× 4 0.0× 45 0.5× 25 0.3× 302 3.8× 56 896
Yuxiu Zhai 125 0.4× 34 0.3× 177 2.0× 87 1.1× 181 2.3× 53 744
Martin Day 213 0.7× 82 0.8× 38 0.4× 67 0.8× 176 2.2× 38 757

Countries citing papers authored by Wayne McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Wayne McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne McLaughlin

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