Cameron A. Brown
Impact in
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- Antibiotic Resistance in Bacteria
Papers in
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- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 2
- Genetics 4
- Bacterial Genetics and Biotechnology 2
- Virus-based gene therapy research 2
- Co-authors
- Timothy Palzkill (4 shared papers)Fong Lam (4 shared papers)Liya Hu (2 shared papers)Miguel A. Crúz (2 shared papers)Banumathi Sankaran (2 shared papers)Zhizeng Sun (2 shared papers)B. V. Venkataram Prasad (2 shared papers)Jill A. Kreiling (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)The FASEB Journal (1 paper)Scientific Reports (1 paper)Journal of the Pediatric Infectious Diseases Society (1 paper)Future Microbiology (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Cameron A. Brown
13 papers receiving 111 citations
Peers
Comparison fields: 5 of 60
- Molecular Medicine 26
- Applied Microbiology and Biotechnology 3
- Endocrinology 7
- Infectious Diseases 25
- Cell Biology 17
Countries citing papers authored by Cameron A. Brown
This map shows the geographic impact of Cameron A. Brown'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 Cameron A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron A. Brown more than expected).
Fields of papers citing papers by Cameron A. Brown
This network shows the impact of papers produced by Cameron A. Brown. 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 Cameron A. Brown. The network helps show where Cameron A. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Cameron A. Brown, 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 | 2018 | 18 | |
| 2 | 2020 | 17 | |
| 3 | 2020 | 15 | |
| 4 | 2020 | 14 | |
| 5 | 2022 | 14 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2021 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2024 | 0 |
About Cameron A. Brown
Cameron A. Brown is a scholar working on Infectious Diseases, Genetics, Animal Science and Zoology, Cell Biology and Molecular Biology, having authored 14 papers that have together received 113 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Animal Virus Infections Studies (3 papers), Bacterial Genetics and Biotechnology (2 papers), Virus-based gene therapy research (2 papers), SARS-CoV-2 detection and testing (2 papers), Antibiotic Resistance in Bacteria (2 papers), Signaling Pathways in Disease (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Molecular Medicine (26 citations), Applied Microbiology and Biotechnology (3 citations), Endocrinology (7 citations), Infectious Diseases (25 citations) and Cell Biology (17 citations). Cameron A. Brown has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Timothy Palzkill, Fong Lam, Liya Hu, Miguel A. Crúz, Banumathi Sankaran, Zhizeng Sun, B. V. Venkataram Prasad, Jill A. Kreiling, Robbert Créton and Carolyn J. Adamski. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Scientific Reports, Journal of the Pediatric Infectious Diseases Society and Future 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.