Bonnie L. Brown
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- Fish Ecology and Management Studies 14
- Aquatic Science top 2%
- Endocrinology top 5%
- Global and Planetary Change top 5%
- Marine Bivalve and Aquaculture Studies 15
- Ecology top 5%
- Microbial Community Ecology and Physiology 8
- Environmental DNA in Biodiversity Studies 7
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- Genetic diversity and population structure 15
- Genetic and phenotypic traits in livestock 8
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- Aquaculture disease management and microbiota 8
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- Identification and Quantification in Food 6
- Co-authors
- Robert ChapmanJohn M. EpifanioColleen B. HigginsRima B. FranklinKurt StephensonJonathan M. WatersJames W. BrownMaria C. Rivera
- Journals
- North American Journal of Fisheries Management (3 papers)Canadian Journal of Fisheries and Aquatic Sciences (3 papers)Parasitology Research (2 papers)
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
Bonnie L. Brown
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Nature and Landscape Conservation 313
- Aquatic Science 171
- Endocrinology 104
- Global and Planetary Change 293
- Ecology 349
Countries citing papers authored by Bonnie L. Brown
This map shows the geographic impact of Bonnie L. 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 Bonnie L. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bonnie L. Brown more than expected).
Fields of papers citing papers by Bonnie L. Brown
This network shows the impact of papers produced by Bonnie L. 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 Bonnie L. Brown. The network helps show where Bonnie L. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bonnie L. 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 34 | |
| 8 | 2020 | 21 | |
| 9 | 2015 | 23 | |
| 10 | 2014 | 3 | |
| 11 | 2014 | 6 | |
| 12 | 2011 | 10 | |
| 13 | 2010 | 8 | |
| 14 | 2008 | 28 | |
| 15 | 2008 | 1 | |
| 16 | 2002 | 91 | |
| 17 | 2001 | 6 | |
| 18 | 2000 | 37 | |
| 19 | 2000 | 8 | |
| 20 | 1989 | 8 |
About Bonnie L. Brown
Bonnie L. Brown is a scholar working on Aquatic Science, Nature and Landscape Conservation and Physiology, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (15 papers), Genetic diversity and population structure (15 papers), Fish Ecology and Management Studies (14 papers), Aquaculture disease management and microbiota (8 papers), Microbial Community Ecology and Physiology (8 papers), Genetic and phenotypic traits in livestock (8 papers), Environmental DNA in Biodiversity Studies (7 papers) and Identification and Quantification in Food (6 papers). The work is most often cited by research in Nature and Landscape Conservation (313 citations), Aquatic Science (171 citations) and Endocrinology (104 citations). Bonnie L. Brown has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Robert Chapman, John M. Epifanio, Colleen B. Higgins, Rima B. Franklin, Kurt Stephenson, Jonathan M. Waters, James W. Brown, Maria C. Rivera, Stephen P. McIninch and Samuel S. Minot. Their work appears in journals such as North American Journal of Fisheries Management, Canadian Journal of Fisheries and Aquatic Sciences, Parasitology Research, Molecular Ecology and Evolution.
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.