Connor Brown
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- Genomics and Phylogenetic Studies 5
- Bacterial biofilms and quorum sensing 2
-
- Antibiotic Resistance in Bacteria 7
- Co-authors
- Amy Pruden (14 shared papers)Peter J. Vikesland (9 shared papers)Ishi Keenum (4 shared papers)Liqing Zhang (5 shared papers)Suraj Gupta (3 shared papers)Min‐Young Choi (1 shared paper)Dongjuan Dai (2 shared papers)Carl‐Fredrik Flach (1 shared paper)
- Journals
- Scientific Reports (1 paper)Health Affairs (1 paper)Nature Communications (1 paper)Emerging infectious diseases (1 paper)ACS ES&T Water (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Connor Brown
19 papers receiving 526 citations
Connor Brown's Hit Papers
Peers
Comparison fields: 5 of 72
- Molecular Medicine 170
- Pollution 231
- Applied Microbiology and Biotechnology 28
- Endocrinology 67
- Ecology 157
Countries citing papers authored by Connor Brown
This map shows the geographic impact of Connor 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 Connor Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connor Brown more than expected).
Fields of papers citing papers by Connor Brown
This network shows the impact of papers produced by Connor 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 Connor Brown. The network helps show where Connor Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Connor 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 | mobileOG-db: a Manually Curated Database of Protein Families Mediating the Life Cycle of Bacterial Mobile Genetic Elements Hit paper breakdown → | 2022 | 234 |
| 2 | 2022 | 108 | |
| 3 | 2021 | 54 | |
| 4 | 2023 | 38 | |
| 5 | 2024 | 35 | |
| 6 | 2024 | 16 | |
| 7 | 2019 | 16 | |
| 8 | 2023 | 8 | |
| 9 | 2025 | 7 | |
| 10 | 2020 | 5 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2025 | 0 |
About Connor Brown
Connor Brown is a scholar working on Molecular Biology, Molecular Medicine, Pollution, Clinical Biochemistry and Ecology, having authored 20 papers that have together received 531 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Genomics and Phylogenetic Studies (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Legionella and Acanthamoeba research (3 papers), Antibiotic Use and Resistance (3 papers), Water Treatment and Disinfection (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Molecular Medicine (170 citations), Pollution (231 citations), Applied Microbiology and Biotechnology (28 citations), Endocrinology (67 citations) and Ecology (157 citations). Connor Brown has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Amy Pruden, Peter J. Vikesland, Ishi Keenum, Liqing Zhang, Suraj Gupta, Min‐Young Choi, Dongjuan Dai, Carl‐Fredrik Flach, Tong Zhang and Indumathi M. Nambi. Their work appears in journals such as Scientific Reports, Health Affairs, Nature Communications, Emerging infectious diseases and ACS ES&T Water.
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.