Kim H. Brown
- Physiology top 2%
- Reproductive biology and impacts on aquatic species 7
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth 4
- Genetics top 5%
- Genetic diversity and population structure 6
- Genomic variations and chromosomal abnormalities 4
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- Fish Ecology and Management Studies 6
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- Chromosomal and Genetic Variations 5
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- Congenital heart defects research 4
- Genomics and Phylogenetic Studies 4
- Co-authors
- Gary H. ThorgaardJames J. NaglerRuth B. PhillipsIrvin R. SchultzRobert E. DrewKrista M. NicholsPaul WheelerKimberly P. Dobrinski
- Cited by
- PhysiologyAquatic ScienceGenetics
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Oncogene (1 paper)Scientific Reports (2 papers)
- Partner nations
- United StatesSingaporeFinland
In The Last Decade
Kim H. Brown
26 papers receiving 696 citations
Peers
Comparison fields: 5 of 80
- Physiology 115
- Aquatic Science 127
- Genetics 379
- Nature and Landscape Conservation 135
- Cell Biology 91
Countries citing papers authored by Kim H. Brown
This map shows the geographic impact of Kim H. 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 Kim H. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim H. Brown more than expected).
Fields of papers citing papers by Kim H. Brown
This network shows the impact of papers produced by Kim H. 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 Kim H. Brown. The network helps show where Kim H. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kim H. 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 | 4 | |
| 2 | 2018 | 4 | |
| 3 | 2018 | 21 | |
| 4 | 2016 | 12 | |
| 5 | 2016 | 5 | |
| 6 | 2015 | 46 | |
| 7 | Phenotypic Variation in the Model Organism, Danio Rerio | 2014 | 0 |
| 8 | 2013 | 27 | |
| 9 | 2011 | 35 | |
| 10 | 2011 | 5 | |
| 11 | 2011 | 93 | |
| 12 | 2008 | 11 | |
| 13 | 2008 | 10 | |
| 14 | 2008 | 28 | |
| 15 | 2007 | 37 | |
| 16 | 2006 | 23 | |
| 17 | 2006 | 15 | |
| 18 | 2004 | 4 | |
| 19 | 2003 | 173 | |
| 20 | 2002 | 23 |
About Kim H. Brown
Kim H. Brown is a scholar working on Physiology, Aquatic Science and Genetics, having authored 27 papers that have together received 715 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (7 papers), Fish Ecology and Management Studies (6 papers), Genetic diversity and population structure (6 papers), Chromosomal and Genetic Variations (5 papers), Congenital heart defects research (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Phylogenetic Studies (4 papers) and Aquaculture Nutrition and Growth (4 papers). The work is most often cited by research in Physiology (115 citations), Aquatic Science (127 citations) and Genetics (379 citations). Kim H. Brown has collaborated with scholars based in United States, Singapore and Finland. Frequent co-authors include Gary H. Thorgaard, James J. Nagler, Ruth B. Phillips, Irvin R. Schultz, Robert E. Drew, Krista M. Nichols, Paul Wheeler, Kimberly P. Dobrinski, Charles Lee and Roy G. Danzmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene and Scientific Reports.
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.