Kyle J. Wayne
- Microbiology top 2%
- Molecular Medicine top 5%
- Epidemiology top 10%
- Pneumonia and Respiratory Infections 9
- Respiratory viral infections research 1
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 3
- Endocrinology top 10%
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- Bacterial Genetics and Biotechnology 5
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- Streptococcal Infections and Treatments 2
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- RNA and protein synthesis mechanisms 2
- Mitochondrial Function and Pathology 1
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- Bacteriophages and microbial interactions 1
- Co-authors
- Malcolm E. WinklerKrystyna M. KazmierczakLok‐To ShamWai‐Leung NgTanja M. DavidsenJohn I. GlassHervé TettelinHo‐Ching Tiffany Tsui
- Journals
- Journal of Bacteriology (4 papers)Molecular Microbiology (3 papers)Frontiers in Cellular and Infection Microbiology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Kyle J. Wayne
11 papers receiving 848 citations
Peers
Comparison fields: 5 of 73
- Microbiology 176
- Molecular Medicine 112
- Epidemiology 454
- Infectious Diseases 152
- Endocrinology 40
Countries citing papers authored by Kyle J. Wayne
This map shows the geographic impact of Kyle J. Wayne'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 Kyle J. Wayne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle J. Wayne more than expected).
Fields of papers citing papers by Kyle J. Wayne
This network shows the impact of papers produced by Kyle J. Wayne. 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 Kyle J. Wayne. The network helps show where Kyle J. Wayne may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyle J. Wayne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 25 | |
| 2 | 2017 | 51 | |
| 3 | 2016 | 28 | |
| 4 | 2012 | 56 | |
| 5 | 2011 | 58 | |
| 6 | 2010 | 19 | |
| 7 | 2010 | 43 | |
| 8 | 2010 | 65 | |
| 9 | 2009 | 68 | |
| 10 | 2007 | 85 | |
| 11 | 2006 | 357 |
About Kyle J. Wayne
Kyle J. Wayne is a scholar working on Epidemiology, Molecular Medicine, Endocrinology, Genetics and Infectious Diseases, having authored 11 papers that have together received 855 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (9 papers), Bacterial Genetics and Biotechnology (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Streptococcal Infections and Treatments (2 papers), RNA and protein synthesis mechanisms (2 papers), Respiratory viral infections research (1 paper), Bacteriophages and microbial interactions (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Microbiology (176 citations), Molecular Medicine (112 citations), Epidemiology (454 citations), Infectious Diseases (152 citations) and Endocrinology (40 citations). Kyle J. Wayne has collaborated with scholars based in United States and Canada. Frequent co-authors include Malcolm E. Winkler, Krystyna M. Kazmierczak, Lok‐To Sham, Wai‐Leung Ng, Tanja M. Davidsen, John I. Glass, Hervé Tettelin, Ho‐Ching Tiffany Tsui, Alina D. Gutu and Andreas Rechtsteiner. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Frontiers in Cellular and Infection Microbiology, Molecular Cell and American Journal of Physiology-Heart and Circulatory Physiology.
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.