Dana Blackburn

441 total citations
13 papers, 337 citations indexed

About

Dana Blackburn is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, Dana Blackburn has authored 13 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Insect Science and 3 papers in Genetics. Recurrent topics in Dana Blackburn's work include Entomopathogenic Microorganisms in Pest Control (5 papers), Insect symbiosis and bacterial influences (3 papers) and Insect and Pesticide Research (3 papers). Dana Blackburn is often cited by papers focused on Entomopathogenic Microorganisms in Pest Control (5 papers), Insect symbiosis and bacterial influences (3 papers) and Insect and Pesticide Research (3 papers). Dana Blackburn collaborates with scholars based in United States, Australia and United Kingdom. Dana Blackburn's co-authors include Zeus Saldaña‐Ahuactzi, Jorge A. Girón, Byron J. Adams, Miguel A. De la Cruz, David I. Shapiro‐Ilan, Nicole M. Iovine, Marı́a Dolores Alcántar-Curiel, Catalina Gayosso-Vázquez, Khuong B. Nguyen and George N. Mbata and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Carcinogenesis.

In The Last Decade

Dana Blackburn

13 papers receiving 328 citations

Peers

Dana Blackburn
Tom J. B. de Man United States
G. I. Koroleva United States
Adrián Cazares United Kingdom
Wolfram Schlimme Switzerland
Pamela Cribb Argentina
Elizabeth Pursey United Kingdom
Alexandra Grote United States
James A. Budnick United States
Tom J. B. de Man United States
Dana Blackburn
Citations per year, relative to Dana Blackburn Dana Blackburn (= 1×) peers Tom J. B. de Man

Countries citing papers authored by Dana Blackburn

Since Specialization
Citations

This map shows the geographic impact of Dana Blackburn'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 Blackburn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Blackburn more than expected).

Fields of papers citing papers by Dana Blackburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Blackburn. 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 Blackburn. The network helps show where Dana Blackburn may publish in the future.

Co-authorship network of co-authors of Dana Blackburn

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Blackburn. A scholar is included among the top collaborators of Dana Blackburn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dana Blackburn. Dana Blackburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Μαρίνος, Γεώργιος, Reena Debray, Nancy Obeng, et al.. (2024). Metabolic model predictions enable targeted microbiome manipulation through precision prebiotics. Microbiology Spectrum. 12(2). e0114423–e0114423. 12 indexed citations
2.
Blackburn, Dana, et al.. (2021). Population scale nucleic acid delivery to Caenorhabditis elegans via electroporation. G3 Genes Genomes Genetics. 11(7). 4 indexed citations
3.
Blackburn, Dana, Anne Lanois, Sylvie Pagès, et al.. (2019). Role of the Photorhabdus Dam methyltransferase during interactions with its invertebrate hosts. PLoS ONE. 14(10). e0212655–e0212655. 6 indexed citations
4.
Blackburn, Dana, et al.. (2016). Evolution of virulence in Photorhabdus spp., entomopathogenic nematode symbionts. Systematic and Applied Microbiology. 39(3). 173–179. 20 indexed citations
5.
Blackburn, Dana, David I. Shapiro‐Ilan, & Byron J. Adams. (2016). Biological control and nutrition: Food for thought. Biological Control. 97. 131–138. 20 indexed citations
6.
Blackburn, Dana, et al.. (2015). Environmental drivers of trait changes in Photorhabdus luminescens. Biological Control. 92. 145–152. 4 indexed citations
7.
Shapiro‐Ilan, David I., et al.. (2014). Characterization of Biocontrol Traits in Heterorhabditis floridensis: A Species with Broad Temperature Tolerance.. PubMed. 46(4). 336–45. 24 indexed citations
8.
Alcántar-Curiel, Marı́a Dolores, Dana Blackburn, Zeus Saldaña‐Ahuactzi, et al.. (2013). Multi-functional analysis ofKlebsiella pneumoniaefimbrial types in adherence and biofilm formation. Virulence. 4(2). 129–138. 127 indexed citations
9.
Blackburn, Dana. (2010). An Archaeological Exploration of the Role of Votive Offerings in a Nabataean Burial. ScholarsArchive (Brigham Young University). 8(1). 35–45. 2 indexed citations
10.
Blackburn, Dana, et al.. (2009). Distribution of the Escherichia coli Common Pilus among Diverse Strains of Human Enterotoxigenic E. coli. Journal of Clinical Microbiology. 47(6). 1781–1784. 40 indexed citations
12.
Algar, Elizabeth M., et al.. (1997). Mutation analysis of the WT1 gene in sporadic childhood leukaemia. Leukemia. 11(1). 110–113. 23 indexed citations
13.
Stanley, Lesley A., Dana Blackburn, Julie F. Foley, et al.. (1994). Ras mutations in methyiclofenapate-induced B6C3F1 and C57BL/1OJ mouse liver tumours. Carcinogenesis. 15(6). 1125–1131. 15 indexed citations

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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