Dana Boyd

10.5k citations
82 papers · 8.8k · 2 hit papers · h-index 43

Impact in

Papers in

    • RNA and protein synthesis mechanisms 24
    • Bacterial biofilms and quorum sensing 9
    • Protein Structure and Dynamics 9
    • Bacterial Genetics and Biotechnology 38

Dana Boyd

82 papers receiving 8.5k citations

Dana Boyd's Hit Papers

A Signaling Network Reciprocally Regulates Genes Associated with Acute Infection and Chronic Persistence in Pseudomonas aeruginosa 2004 · 509 citations
5090+7+15Years since publication50010001.5k2.0k

Peers

Dana Boyd
Comparison fields: 5 of 126
  • Endocrinology 1.4k
  • Molecular Medicine 942
  • Infectious Diseases 1.8k
  • Genetics 2.8k
  • Molecular Biology 5.7k
Replace Valerie Burland with:
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I. Barry Holland United Kingdom
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Dana Boyd relative to Valerie Burland United States Valerie Burland's profile →
Citations per field
00.5×1.7×
Valerie Burland · 1×
Citations per year

Countries citing papers authored by Dana Boyd

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dana Boyd Line = papers co-authored together Dana Boyd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 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 →
20032108
2
A Signaling Network Reciprocally Regulates Genes Associated with Acute Infection and Chronic Persistence in Pseudomonas aeruginosa
Hit paper breakdown →
2004509
3 2001491
4 2002382
5 1999342
6 2003335
7 1987281
8 1985221
9 1990205
10 2008204
11 2003176
12 2011159
13 2010159
14 2000152
15 2010149
16 1998126
17 1990125
18 2018116
19 1989116
20 2005111

About Dana Boyd

Dana Boyd is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Endocrinology, having authored 82 papers that have together received 8.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (38 papers), RNA and protein synthesis mechanisms (24 papers), Bacteriophages and microbial interactions (15 papers), Endoplasmic Reticulum Stress and Disease (13 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 (1.4k citations), Molecular Medicine (942 citations), Infectious Diseases (1.8k citations), Genetics (2.8k citations) and Molecular Biology (5.7k 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 Science.

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.

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