Chad Laing
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 23
- Vibrio bacteria research studies 4
-
- Viral gastroenteritis research and epidemiology 13
- Co-authors
- Victor P. J. Gannon (31 shared papers)Eduardo N. Taboada (13 shared papers)Yongxiang Zhang (11 shared papers)John J. Nash (3 shared papers)Peter Kruczkiewicz (3 shared papers)Erika J. Lingohr (1 shared paper)James E. Thomas (8 shared papers)Kim Ziebell (13 shared papers)
- Journals
- PLoS ONE (4 papers)Applied and Environmental Microbiology (4 papers)Frontiers in Microbiology (3 papers)BMC Genomics (3 papers)Microbial Genomics (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Chad Laing
40 papers receiving 1.6k citations
Chad Laing's Hit Papers
Peers
Comparison fields: 5 of 69
- Endocrinology 713
- Molecular Medicine 243
- Food Science 824
- Biotechnology 275
- Infectious Diseases 423
Countries citing papers authored by Chad Laing
This map shows the geographic impact of Chad Laing'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 Chad Laing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Laing more than expected).
Fields of papers citing papers by Chad Laing
This network shows the impact of papers produced by Chad Laing. 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 Chad Laing. The network helps show where Chad Laing may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Laing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Salmonella In Silico Typing Resource (SISTR): An Open Web-Accessible Tool for Rapidly Typing and Subtyping Draft Salmonella Genome Assemblies Hit paper breakdown → | 2016 | 412 |
| 2 | 2010 | 205 | |
| 3 | 2007 | 123 | |
| 4 | 2017 | 117 | |
| 5 | 2010 | 82 | |
| 6 | 2021 | 81 | |
| 7 | 2009 | 56 | |
| 8 | 2017 | 49 | |
| 9 | 2012 | 49 | |
| 10 | 2009 | 46 | |
| 11 | 2008 | 43 | |
| 12 | 2012 | 41 | |
| 13 | 2015 | 39 | |
| 14 | 2016 | 38 | |
| 15 | 2011 | 29 | |
| 16 | 2008 | 25 | |
| 17 | 2017 | 17 | |
| 18 | 2016 | 17 | |
| 19 | 2016 | 15 | |
| 20 | 2018 | 14 |
About Chad Laing
Chad Laing is a scholar working on Endocrinology, Infectious Diseases, Food Science, Molecular Biology and Ecology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Escherichia coli research studies (23 papers), Viral gastroenteritis research and epidemiology (13 papers), Salmonella and Campylobacter epidemiology (11 papers), Bacteriophages and microbial interactions (10 papers), Genomics and Phylogenetic Studies (8 papers), Vibrio bacteria research studies (4 papers), Mycobacterium research and diagnosis (3 papers) and Listeria monocytogenes in Food Safety (3 papers). The work is most often cited by research in Endocrinology (713 citations), Molecular Medicine (243 citations), Food Science (824 citations), Biotechnology (275 citations) and Infectious Diseases (423 citations). Chad Laing has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Victor P. J. Gannon, Eduardo N. Taboada, Yongxiang Zhang, John J. Nash, Peter Kruczkiewicz, Erika J. Lingohr, James E. Thomas, Kim Ziebell, Roger P. Johnson and Cody Buchanan. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology, Frontiers in Microbiology, BMC Genomics and Microbial Genomics.
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.