Barbara Dunn
Impact in
- Food Science top 1%
- Fermentation and Sensory Analysis
Papers in
-
- Fungal and yeast genetics research 23
- Microbial Metabolic Engineering and Bioproduction 6
- RNA and protein synthesis mechanisms 5
- Glycosylation and Glycoproteins Research 4
- Yeasts and Rust Fungi Studies 3
- Food Science 14
- Fermentation and Sensory Analysis 14
- Co-authors
- Gavin Sherlock (15 shared papers)David Botstein (2 shared papers)Chandra L. Richter (2 shared papers)Daniel J. Kvitek (3 shared papers)Mary Lou Pardue (1 shared paper)Paul Szauter (1 shared paper)Jack W. Szostak (2 shared papers)Tim Stearns (1 shared paper)
- Journals
- Genome Research (3 papers)PLoS ONE (3 papers)Nature (3 papers)G3 Genes Genomes Genetics (2 papers)Genetics (2 papers)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Barbara Dunn
44 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 114
- Tourism, Leisure and Hospitality Management 86
- Food Science 708
- Molecular Biology 1.5k
- Plant Science 623
- Genetics 373
Countries citing papers authored by Barbara Dunn
This map shows the geographic impact of Barbara Dunn'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 Barbara Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Dunn more than expected).
Fields of papers citing papers by Barbara Dunn
This network shows the impact of papers produced by Barbara Dunn. 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 Barbara Dunn. The network helps show where Barbara Dunn may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Dunn, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 241 | |
| 2 | 2012 | 177 | |
| 3 | 2011 | 176 | |
| 4 | 1997 | 174 | |
| 5 | 1984 | 154 | |
| 6 | 2016 | 150 | |
| 7 | 2005 | 111 | |
| 8 | 1993 | 99 | |
| 9 | 2013 | 83 | |
| 10 | 2013 | 82 | |
| 11 | 2009 | 80 | |
| 12 | 2013 | 61 | |
| 13 | 2006 | 60 | |
| 14 | 1988 | 54 | |
| 15 | 2015 | 53 | |
| 16 | 2012 | 51 | |
| 17 | 1993 | 45 | |
| 18 | 2009 | 43 | |
| 19 | 2018 | 42 | |
| 20 | 1996 | 36 |
About Barbara Dunn
Barbara Dunn is a scholar working on Molecular Biology, Food Science, Plant Science, Biomedical Engineering and Genetics, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (23 papers), Fermentation and Sensory Analysis (14 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Biofuel production and bioconversion (6 papers), RNA and protein synthesis mechanisms (5 papers), Horticultural and Viticultural Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Yeasts and Rust Fungi Studies (3 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (86 citations), Food Science (708 citations), Molecular Biology (1.5k citations), Plant Science (623 citations) and Genetics (373 citations). Barbara Dunn has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Gavin Sherlock, David Botstein, Chandra L. Richter, Daniel J. Kvitek, Mary Lou Pardue, Paul Szauter, Jack W. Szostak, Tim Stearns, Holly L. Nicastro and Mary Ann Osley. Their work appears in journals such as Genome Research, PLoS ONE, Nature, G3 Genes Genomes Genetics and Genetics.
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.