Wayne L. Smith

1.1k total citations
40 papers, 835 citations indexed

About

Wayne L. Smith is a scholar working on Molecular Biology, Agronomy and Crop Science and Microbiology. According to data from OpenAlex, Wayne L. Smith has authored 40 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Agronomy and Crop Science and 7 papers in Microbiology. Recurrent topics in Wayne L. Smith's work include Mycobacterium research and diagnosis (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers) and Microbial infections and disease research (4 papers). Wayne L. Smith is often cited by papers focused on Mycobacterium research and diagnosis (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers) and Microbial infections and disease research (4 papers). Wayne L. Smith collaborates with scholars based in United States, Saudi Arabia and France. Wayne L. Smith's co-authors include James S. Cullor, Ahmed M. Alluwaimi, Christian M. Leutenegger, Manuel C. Lagunas-Solar, Bennie I. Osburn, J. D. Dellinger, Paul V. Rossitto, W. S. Spielman, J. S. Cullor and T. B. Farver and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Physics Letters and Inorganic Chemistry.

In The Last Decade

Wayne L. Smith

39 papers receiving 785 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 L. Smith United States 18 221 172 136 94 91 40 835
Xiaoli Xia China 17 86 0.4× 213 1.2× 54 0.4× 32 0.3× 66 0.7× 66 875
Xiaoliang Li China 16 80 0.4× 105 0.6× 167 1.2× 34 0.4× 19 0.2× 57 804
Eeva‐Liisa Syväoja Finland 17 98 0.4× 298 1.7× 291 2.1× 15 0.2× 108 1.2× 40 913
Lulu Wang China 19 522 2.4× 420 2.4× 73 0.5× 51 0.5× 30 0.3× 74 1.6k
Dehui Sun China 17 186 0.8× 252 1.5× 39 0.3× 14 0.1× 55 0.6× 29 1.0k
Deirdre Fitzgerald‐Hughes Ireland 19 42 0.2× 339 2.0× 142 1.0× 300 3.2× 111 1.2× 63 1.1k
Feng Shi China 17 50 0.2× 278 1.6× 64 0.5× 34 0.4× 39 0.4× 91 838
Xuepeng Cai China 14 122 0.6× 164 1.0× 46 0.3× 25 0.3× 46 0.5× 47 849
Jarosław Król Poland 17 79 0.4× 113 0.7× 31 0.2× 42 0.4× 207 2.3× 51 878
A.C.M. van Hooijdonk Netherlands 18 576 2.6× 441 2.6× 747 5.5× 48 0.5× 56 0.6× 24 1.8k

Countries citing papers authored by Wayne L. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Wayne L. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne L. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne L. Smith. A scholar is included among the top collaborators of Wayne L. Smith 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 L. Smith. Wayne L. Smith 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.
Rossitto, Paul V., R.G.S. Bruno, Myra T. Blanchard, et al.. (2010). Differential levels of mRNA transcripts encoding immunologic mediators in mammary gland secretions from dairy cows with subclinical environmental Streptococci infections. Veterinary Immunology and Immunopathology. 138(1-2). 15–24. 18 indexed citations
2.
Ruzante, Juliana, Ian A. Gardner, James S. Cullor, et al.. (2008). Isolation of Mycobacterium avium subsp. paratuberculosis from Waste Milk Delivered to California Calf Ranches. Foodborne Pathogens and Disease. 5(5). 681–686. 11 indexed citations
3.
Smith, Wayne L., et al.. (2007). Survey of Ground Beef for The Detection of Mycobacterium avium paratuberculosis. Foodborne Pathogens and Disease. 4(1). 103–106. 24 indexed citations
4.
5.
Smith, Wayne L., et al.. (2006). Antimicrobial Properties of the Chelating Agent EDTA on Streptococcal Bovine Mastitis Isolates. Journal of Food Protection. 69(6). 1460–1462. 24 indexed citations
6.
Smith, Wayne L., et al.. (2006). Detection of Mycobacterium avium subsp. paratuberculosis in Bovine Manure Using Whatman FTA Card Technology and Lightcycler Real-Time PCR. Foodborne Pathogens and Disease. 3(2). 212–215. 7 indexed citations
7.
Ruzante, Juliana, Wayne L. Smith, Ian A. Gardner, Charles G. Thornton, & James S. Cullor. (2006). Modified Culture Protocol for Isolation of Mycobacterium avium subsp. paratuberculosis from Raw Milk. Foodborne Pathogens and Disease. 3(4). 457–460. 5 indexed citations
8.
Lagunas-Solar, Manuel C., et al.. (2005). Disinfection of Dairy and Animal Farm Wastewater with Radiofrequency Power. Journal of Dairy Science. 88(11). 4120–4131. 21 indexed citations
9.
Smith, Wayne L., et al.. (2003). The use of spiral plating and microscopic colony counting for the rapid quantitation of Mycobacterium paratuberculosis. Letters in Applied Microbiology. 36(5). 293–296. 7 indexed citations
10.
Alluwaimi, Ahmed M., Christian M. Leutenegger, T. B. Farver, et al.. (2003). The Cytokine Markers inStaphylococcus aureusMastitis of Bovine Mammary Gland. Journal of Veterinary Medicine Series B. 50(3). 105–111. 73 indexed citations
11.
Aradaib, Imadeldin E., Wayne L. Smith, Bennie I. Osburn, & James S. Cullor. (2002). A multiplex PCR for simultaneous detection and differentiation of North American serotypes of bluetongue and epizootic hemorrhagic disease viruses. Comparative Immunology Microbiology and Infectious Diseases. 26(2). 77–87. 40 indexed citations
12.
Leutenegger, Christian M., et al.. (2000). Quantitation of bovine cytokine mRNA in milk cells of healthy cattle by real-time TaqMan® polymerase chain reaction. Veterinary Immunology and Immunopathology. 77(3-4). 275–287. 117 indexed citations
13.
14.
Mannis, Mark J., James S. Cullor, Ivan R. Schwab, et al.. (1994). In Vitro Antimicrobial Activity of Shiva-11 Against Ocular Pathogens. Cornea. 13(3). 237–242. 11 indexed citations
15.
Tyler, Jeff W., James S. Cullor, Ronald J. Erskine, et al.. (1992). Milk antimicrobial drug residue assay results in cattle with experimental, endotoxin-induced mastitis. Journal of the American Veterinary Medical Association. 201(9). 1378–1384. 21 indexed citations
16.
Tyler, J. W., et al.. (1989). Ontogeny of the third component of complement in neonatal swine. American Journal of Veterinary Research. 50(7). 1141–1144. 7 indexed citations
17.
Tyler, J. W., et al.. (1989). Preferential decay of passively acquired immunoglobulins recognizing shared gram-negative core antigens in neonatal swine. American Journal of Veterinary Research. 50(4). 480–482. 7 indexed citations
18.
Gardner, R. J. M., James W. Hanson, Holly H Ardinger, et al.. (1987). Dominantly inherited dilated cardiomyopathy. American Journal of Medical Genetics. 27(1). 61–73. 13 indexed citations
19.
Spielman, W. S., W. K. Sonnenburg, Margaret L. Allen, et al.. (1986). Immunodissection and culture of rabbit cortical collecting tubule cells. American Journal of Physiology-Renal Physiology. 251(2). F348–F357. 24 indexed citations
20.

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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