Wayne McLaughlin

999 total citations
50 papers, 736 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 736 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, Ngeh J. Toyang, D. P. Maxwell, Megan L. Grove, M. K. Nakhla, Manouchehr Hessabi, Maureen Samms‐Vaughan, Jan Bressler and Sydonnie Shakespeare‐Pellington 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 686 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wayne McLaughlin Jamaica 15 311 100 89 79 79 50 736
Muhammad Naveed Aslam Pakistan 16 585 1.9× 21 0.2× 50 0.6× 93 1.2× 16 0.2× 48 812
Gang Zhang China 19 591 1.9× 70 0.7× 64 0.7× 473 6.0× 39 0.5× 81 1.1k
Mohiéddine Moumni Morocco 16 260 0.8× 23 0.2× 51 0.6× 158 2.0× 44 0.6× 47 747
Andrea Barbarossa Italy 16 228 0.7× 70 0.7× 201 2.3× 167 2.1× 14 0.2× 58 874
Wajiha Khan Pakistan 14 283 0.9× 61 0.6× 33 0.4× 259 3.3× 42 0.5× 31 692
Stephen Gross United States 14 765 2.5× 12 0.1× 22 0.2× 411 5.2× 13 0.2× 30 1.3k
Vesna Furtula Canada 12 51 0.2× 72 0.7× 51 0.6× 127 1.6× 24 0.3× 22 523
R. P. Singh India 16 290 0.9× 21 0.2× 49 0.6× 150 1.9× 9 0.1× 127 1.0k
Ertuğrul Terzi Türkiye 19 84 0.3× 68 0.7× 107 1.2× 63 0.8× 26 0.3× 51 799
Charles Viau Canada 13 120 0.4× 24 0.2× 46 0.5× 434 5.5× 30 0.4× 20 962

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

20 of 20 papers shown
1.
Rahbar, Mohammad H., Maureen Samms‐Vaughan, MinJae Lee, et al.. (2020). Interaction between a mixture of heavy metals (lead, mercury, arsenic, cadmium, manganese, aluminum) and GSTP1, GSTT1, and GSTM1 in relation to autism spectrum disorder. Research in autism spectrum disorders. 79. 101681–101681. 22 indexed citations
2.
Rahbar, Mohammad H., Maureen Samms‐Vaughan, MinJae Lee, et al.. (2018). Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium. Research in autism spectrum disorders. 55. 50–63. 17 indexed citations
3.
Toyang, Ngeh J., et al.. (2017). Potential of cannabidiol for the treatment of viral hepatitis. Pharmacognosy Research. 9(1). 116–116. 50 indexed citations
4.
McLaughlin, Wayne, et al.. (2016). The common weed Macroptilium lathyroides is not a source of cropinfecting geminiviruses from Jamaica 256. Tropical Agriculture. 76(4). 256–262. 3 indexed citations
5.
Rahbar, Mohammad H., Maureen Samms‐Vaughan, Jianzhong Ma, et al.. (2015). Interaction between GSTT1 and GSTP1 allele variants as a risk modulating-factor for autism spectrum disorders. Research in autism spectrum disorders. 12. 1–9. 20 indexed citations
6.
Rahbar, Mohammad H., Maureen Samms‐Vaughan, Jianzhong Ma, et al.. (2014). Role of Metabolic Genes in Blood Arsenic Concentrations of Jamaican Children with and without Autism Spectrum Disorder. International Journal of Environmental Research and Public Health. 11(8). 7874–7895. 32 indexed citations
7.
Harrison, N. A., et al.. (2014). First report of lethal yellowing disease associated with subgroup 16SrIV‐A phytoplasmas in Antigua, West Indies. New Disease Reports. 29(1). 12–12. 8 indexed citations
8.
Fisher, L., Paula Tennant, & Wayne McLaughlin. (2013). Diversity of Citrus tristeza virus in Jamaica.. Journal of Plant Pathology. 95(1). 201–206. 2 indexed citations
9.
Harrison, N. A., et al.. (2012). First report of lethal yellowing disease associated with subgroup 16SrIV, a phytoplasma on St. Kitts in the Lesser Antilles. New Disease Reports. 26(1). 25–25. 3 indexed citations
10.
Mills, James L., et al.. (2010). Multigenerational inheritance and clinical characteristics of three large pedigrees with early-onset type 2 diabetes in Jamaica. Revista Panamericana de Salud Pública. 27(6). 435–41. 5 indexed citations
11.
McLaughlin, Wayne, et al.. (2008). Identification of Begomoviruses Infecting Crops and Weeds in Belize.. PubMed. 2(1). 58–63. 9 indexed citations
12.
Irving, Rachael, et al.. (2007). Depressive Symptoms in Children of Women With Newly Diagnosed Type 2 Diabetes. The Primary Care Companion to The Journal of Clinical Psychiatry. 9(1). 21–24. 3 indexed citations
13.
McLaughlin, Wayne, et al.. (2006). Antimicrobial resistance of Escherichia coliisolates from broiler chickens and humans. BMC Veterinary Research. 2(1). 7–7. 149 indexed citations
14.
McLaughlin, Wayne, et al.. (2002). Identification and distribution of Bemisia tabaci (Gennadius) (Homoptera: Aleyrodidae) haplotypes in Jamaica.. Tropical Agriculture. 79(3). 140–149. 4 indexed citations
15.
16.
Ames, R. N., et al.. (1991). Co-selection of compatible rhizobia and vesicular-arbuscular mycorrhizal fungi for cowpea in sterilized and non-sterilized soils. Biology and Fertility of Soils. 12(2). 112–116. 16 indexed citations
17.
McLaughlin, Wayne. (1987). Characterization of Tn5-induced symbiotically defective mutants of cowpea rhizobia. FEMS Microbiology Letters. 41(3). 331–336.
18.
Ahmad, M. H. & Wayne McLaughlin. (1985). Ecology and genetics of tropical rhizobia species. Biotechnology Advances. 3(2). 155–170. 12 indexed citations
19.
Ahmad, M. H., et al.. (1984). Characterization of indigenous rhizobia from wild legumes. FEMS Microbiology Letters. 24(2-3). 197–203. 23 indexed citations
20.
McLaughlin, Wayne & M. H. Ahmad. (1984). Intrinsic antibiotic resistance and streptomycin uptake in cowpea rhizobia. FEMS Microbiology Letters. 21(3). 299–303. 18 indexed citations

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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