Wayne L. Smith

39 papers receiving 785 citations

Peers

Wayne L. Smith
Comparison fields: 5 of 114
  • Agronomy and Crop Science 221
  • Microbiology 94
  • Food Science 136
  • Biotechnology 64
  • Small Animals 53
Replace Eeva‐Liisa Syväoja with:
Eeva‐Liisa Syväoja Finland
Xiaoliang Li China
A.C.M. van Hooijdonk Netherlands
Xiaoli Xia China
Bo Hyun Yoon South Korea
Zengshan Liu China
Lulu Wang China
María C. Apella Argentina
R.J. Miles United Kingdom
Guangxu Xing China
Wayne L. Smith relative to Eeva‐Liisa Syväoja Finland Eeva‐Liisa Syväoja's profile →
Citations per field
00.5×6.3×
Eeva‐Liisa Syväoja · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Wayne L. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wayne L. Smith Line = papers co-authored together Wayne L. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000117
2 200373
3 199555
4 199349
5 197747
6 200240
7 200237
8 199031
9 200027
10 200724
11 200624
12 198624
13 200521
14 199221
15 197721
16 200521
17 201018
18 199018
19 199416
20 197614

About Wayne L. Smith

Wayne L. Smith is a scholar working on Molecular Biology, Agronomy and Crop Science, Microbiology, Organic Chemistry and Epidemiology, having authored 40 papers that have together received 835 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Microbial infections and disease research (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Antimicrobial Peptides and Activities (3 papers), Organometallic Complex Synthesis and Catalysis (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Agronomy and Crop Science (221 citations), Microbiology (94 citations), Food Science (136 citations), Biotechnology (64 citations) and Small Animals (53 citations). Wayne L. Smith has collaborated with scholars based in United States, Saudi Arabia and Sudan. Frequent co-authors include James S. Cullor, Christian M. Leutenegger, Ahmed M. Alluwaimi, Manuel C. Lagunas-Solar, Bennie I. Osburn, J. D. Dellinger, Paul V. Rossitto, W. S. Spielman, T. B. Farver and J. S. Cullor. Their work appears in journals such as Foodborne Pathogens and Disease, Organometallics, Veterinary Immunology and Immunopathology, Journal of Food Protection and American Journal of Veterinary Research.

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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