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
- Co-authors
- Matthew K. Waldor (17 shared papers)Felipe Cava (4 shared papers)Emilio Cendejas‐Bueno (3 shared papers)Karthik Hullahalli (2 shared papers)Bradly G. Wouters (1 shared paper)David Uehling (1 shared paper)Gabriel Billings (2 shared papers)Marianne Koritzinsky (1 shared paper)
- Journals
- Journal of Bacteriology (3 papers)Infection and Immunity (2 papers)Proceedings of the National Academy of Sciences (2 papers)iScience (1 paper)Radiotherapy and Oncology (1 paper)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Brandon Sit
25 papers receiving 432 citations
Peers
Comparison fields: 5 of 89
- Endocrinology 171
- Molecular Medicine 53
- Immunology 93
- Food Science 59
- Biotechnology 27
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 | 45 | |
| 2 | 2018 | 42 | |
| 3 | 2022 | 40 | |
| 4 | 2018 | 35 | |
| 5 | 2013 | 35 | |
| 6 | 2019 | 28 | |
| 7 | 2015 | 24 | |
| 8 | 2019 | 23 | |
| 9 | 2016 | 23 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2024 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2020 | 6 |
About Brandon Sit
Brandon Sit is a scholar working on Endocrinology, Molecular Medicine, Immunology, Parasitology and Food Science, having authored 25 papers that have together received 434 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), Bacteriophages and microbial interactions (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Endocrinology (171 citations), Molecular Medicine (53 citations), Immunology (93 citations), Food Science (59 citations) and Biotechnology (27 citations). Brandon Sit has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Matthew K. Waldor, Felipe Cava, Emilio Cendejas‐Bueno, Karthik Hullahalli, Bradly G. Wouters, David Uehling, Gabriel Billings, Marianne Koritzinsky, Dan Cojocari and Franz G. Zingl. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Proceedings of the National Academy of Sciences, iScience and Radiotherapy and Oncology.
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.