Dana Boyd
- Endocrinology top 0.2%
- Molecular Medicine top 0.2%
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology 37
- Infectious Diseases top 0.5%
- Molecular Biology top 1%
- RNA and protein synthesis mechanisms 23
- Protein Structure and Dynamics 11
- Bacterial biofilms and quorum sensing 9
- Photosynthetic Processes and Mechanisms 7
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- Bacteriophages and microbial interactions 14
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- Endoplasmic Reticulum Stress and Disease 11
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- Enzyme Structure and Function 8
- Co-authors
- Eric J. RubinChristopher M. SassettiJon BeckwithMehmet BerkmenStephen LoryBridget R. KulasekaraColin ManoilDavid S. Weiss
- Journals
- Proceedings of the National Academy of Sciences (18 papers)Journal of Bacteriology (14 papers)Journal of Biological Chemistry (8 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Dana Boyd
78 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Endocrinology 1.4k
- Molecular Medicine 962
- Genetics 2.7k
- Infectious Diseases 1.8k
- Molecular Biology 5.6k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2018 | 112 | |
| 3 | 2017 | 13 | |
| 4 | 2015 | 3 | |
| 5 | 2013 | 9 | |
| 6 | 2012 | 87 | |
| 7 | 2012 | 105 | |
| 8 | 2011 | 154 | |
| 9 | 2011 | 22 | |
| 10 | 2010 | 46 | |
| 11 | 2005 | 20 | |
| 12 | 2005 | 96 | |
| 13 | Genes required for mycobacterial growth defined by high density mutagenesisbreakdown → | 2003 | 2021 |
| 14 | 2003 | 2 | |
| 15 | 2002 | 352 | |
| 16 | 2001 | 459 | |
| 17 | 2001 | 20 | |
| 18 | 1999 | 17 | |
| 19 | 1995 | 15 | |
| 20 | 1993 | 96 |
About Dana Boyd
Dana Boyd is a scholar working on Endocrinology, Genetics, Molecular Medicine, Molecular Biology and Cell Biology, having authored 78 papers that have together received 8.3k 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), Protein Structure and Dynamics (11 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Bacterial biofilms and quorum sensing (9 papers), Enzyme Structure and Function (8 papers) and Photosynthetic Processes and Mechanisms (7 papers). The work is most often cited by research in Endocrinology (1.4k citations), Molecular Medicine (962 citations), Genetics (2.7k citations), Infectious Diseases (1.8k citations) and Molecular Biology (5.6k 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, David S. Weiss and Joseph C. Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Bacteriology, Journal of Biological Chemistry, Molecular Microbiology and Microbiology.
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.