Kayla Sylvester
- Molecular Biology
- Food Science top 2%
- Plant Science top 10%
- Public Health, Environmental and Occupational Health
- Cell Biology
- Co-authors
- Chris Todd HittingerDiego LibkindDavid PerisGuillaume CharronChristian R. LandryEmily R. DerbyshireJosé Paulo SampaioQuinn K. Langdon
- Topics
- Fermentation and Sensory Analysis (7 papers)Malaria Research and Control (6 papers)Yeasts and Rust Fungi Studies (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsChemical Communications
- Partner nations
- United StatesArgentinaPortugal
In The Last Decade
Kayla Sylvester
22 papers receiving 793 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 511
- Food Science 360
- Plant Science 304
- Public Health, Environmental and Occupational Health 116
- Cell Biology 86
Countries citing papers authored by Kayla Sylvester
This map shows the geographic impact of Kayla Sylvester'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 Kayla Sylvester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayla Sylvester more than expected).
Fields of papers citing papers by Kayla Sylvester
This network shows the impact of papers produced by Kayla Sylvester. 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 Kayla Sylvester. The network helps show where Kayla Sylvester may publish in the future.
Co-authorship network of co-authors of Kayla Sylvester
This figure shows the co-authorship network connecting the top 25 collaborators of Kayla Sylvester. A scholar is included among the top collaborators of Kayla Sylvester 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 Kayla Sylvester. Kayla Sylvester is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 16 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 25 | |
| 7 | 17 | |
| 8 | 33 | |
| 9 | 28 | |
| 10 | 58 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 49 | |
| 15 | 52 | |
| 16 | 122 | |
| 17 | 81 | |
| 18 | 64 | |
| 19 | 108 | |
| 20 | 3 |
About Kayla Sylvester
Kayla Sylvester is a scholar working on Tourism, Leisure and Hospitality Management, Food Science and Hepatology, having authored 22 papers that have together received 804 indexed citations. Recurring topics across this work include Fermentation and Sensory Analysis (7 papers), Malaria Research and Control (6 papers) and Yeasts and Rust Fungi Studies (5 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (36 citations), Food Science (360 citations) and Plant Science (304 citations). Kayla Sylvester has collaborated with scholars based in United States, Argentina and Portugal. Frequent co-authors include Chris Todd Hittinger, Diego Libkind, David Peris, Guillaume Charron, Christian R. Landry, Emily R. Derbyshire, José Paulo Sampaio, Quinn K. Langdon, Jean‐Baptiste Leducq and Ryan V. Moriarty. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Chemical Communications.
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.