Brandon Sit
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 13
- Escherichia coli research studies 7
-
- Aquaculture disease management and microbiota 7
- Co-authors
- Matthew K. Waldor (17 shared papers)Felipe Cava (4 shared papers)Emilio Cendejas‐Bueno (3 shared papers)Karthik Hullahalli (2 shared papers)Marianne Koritzinsky (1 shared paper)Hailong Zhang (2 shared papers)Carole J. Kuehl (2 shared papers)Abdelrahim Zoued (2 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Infection and Immunity (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Chemical Biology (1 paper)Cellular Microbiology (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Brandon Sit
25 papers receiving 465 citations
Peers
Comparison fields: 5 of 90
- Endocrinology 178
- Molecular Medicine 54
- Immunology 93
- Infectious Diseases 57
- Food Science 59
Countries citing papers authored by Brandon Sit
This map shows the geographic impact of Brandon Sit'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 Brandon Sit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Sit more than expected).
Fields of papers citing papers by Brandon Sit
This network shows the impact of papers produced by Brandon Sit. 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 Brandon Sit. The network helps show where Brandon Sit may publish in the future.
Co-authors
The 25 scholars most cited alongside Brandon Sit, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 47 | |
| 2 | 2018 | 44 | |
| 3 | 2022 | 44 | |
| 4 | 2018 | 37 | |
| 5 | 2013 | 36 | |
| 6 | 2019 | 29 | |
| 7 | 2015 | 26 | |
| 8 | 2019 | 24 | |
| 9 | 2016 | 24 | |
| 10 | 2020 | 20 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 16 | |
| 13 | 2024 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2021 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2022 | 7 | |
| 20 | 2021 | 6 |
About Brandon Sit
Brandon Sit is a scholar working on Endocrinology, Immunology, Genetics, Molecular Biology and Ecology, having authored 25 papers that have together received 469 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (13 papers), Escherichia coli research studies (7 papers), Aquaculture disease management and microbiota (7 papers), Bacterial Genetics and Biotechnology (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Bacteriophages and microbial interactions (3 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Endocrinology (178 citations), Molecular Medicine (54 citations), Immunology (93 citations), Infectious Diseases (57 citations) and Food Science (59 citations). Brandon Sit has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Matthew K. Waldor, Felipe Cava, Emilio Cendejas‐Bueno, Karthik Hullahalli, Marianne Koritzinsky, Hailong Zhang, Carole J. Kuehl, Abdelrahim Zoued, Dan Cojocari and Ravi N. Vellanki. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Proceedings of the National Academy of Sciences, Nature Chemical Biology and Cellular Microbiology.
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.