Dana Boyd
Impact in
- Endocrinology top 0.2%
- Vibrio bacteria research studies
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 23
- Bacterial biofilms and quorum sensing 9
- Protein Structure and Dynamics 9
- Genetics 38
- Bacterial Genetics and Biotechnology 37
- Co-authors
- Eric J. Rubin (6 shared papers)Christopher M. Sassetti (2 shared papers)Jon Beckwith (23 shared papers)Jon Beckwith (14 shared papers)Mehmet Berkmen (8 shared papers)Stephen Lory (3 shared papers)Bridget R. Kulasekara (2 shared papers)Colin Manoil (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (18 papers)Journal of Bacteriology (14 papers)Journal of Biological Chemistry (8 papers)Molecular Microbiology (4 papers)Molecular Cell (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Dana Boyd
78 papers receiving 8.2k citations
Dana Boyd's Hit Papers
Peers
Comparison fields: 5 of 125
- Endocrinology 1.3k
- Molecular Medicine 918
- Infectious Diseases 1.7k
- Genetics 2.7k
- Molecular Biology 5.4k
Countries citing papers authored by Dana Boyd
This map shows the geographic impact of Dana Boyd'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 Dana Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Boyd more than expected).
Fields of papers citing papers by Dana Boyd
This network shows the impact of papers produced by Dana Boyd. 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 Dana Boyd. The network helps show where Dana Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Dana Boyd, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genes required for mycobacterial growth defined by high density mutagenesis Hit paper breakdown → | 2003 | 2034 |
| 2 | 2004 | 484 | |
| 3 | 2001 | 463 | |
| 4 | 2002 | 354 | |
| 5 | 1999 | 335 | |
| 6 | 2003 | 314 | |
| 7 | 1987 | 273 | |
| 8 | 1985 | 207 | |
| 9 | 2008 | 200 | |
| 10 | 1990 | 196 | |
| 11 | 2003 | 170 | |
| 12 | 2011 | 155 | |
| 13 | 2010 | 153 | |
| 14 | 2000 | 150 | |
| 15 | 2010 | 147 | |
| 16 | 1998 | 120 | |
| 17 | 1990 | 117 | |
| 18 | 2018 | 114 | |
| 19 | 1989 | 109 | |
| 20 | 2012 | 105 |
About Dana Boyd
Dana Boyd is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Endocrinology, having authored 78 papers that have together received 8.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (37 papers), RNA and protein synthesis mechanisms (23 papers), Bacteriophages and microbial interactions (14 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Bacterial biofilms and quorum sensing (9 papers), Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Endocrinology (1.3k citations), Molecular Medicine (918 citations), Infectious Diseases (1.7k citations), Genetics (2.7k citations) and Molecular Biology (5.4k citations). Dana Boyd has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Eric J. Rubin, Christopher M. Sassetti, Jon Beckwith, Jon Beckwith, Mehmet Berkmen, Stephen Lory, Bridget R. Kulasekara, Colin Manoil, Joseph C. Chen and David S. Weiss. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Bacteriology, Journal of Biological Chemistry, Molecular Microbiology and Molecular Cell.
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.