Laura S. Houston

1.1k total citations
7 papers, 791 citations indexed

About

Laura S. Houston is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Laura S. Houston has authored 7 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 2 papers in Molecular Medicine. Recurrent topics in Laura S. Houston's work include Cystic Fibrosis Research Advances (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Antibiotic Resistance in Bacteria (2 papers). Laura S. Houston is often cited by papers focused on Cystic Fibrosis Research Advances (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Antibiotic Resistance in Bacteria (2 papers). Laura S. Houston collaborates with scholars based in United States, Canada and United Kingdom. Laura S. Houston's co-authors include Lucas R. Hoffman, Jane L. Burns, Hemantha D. Kulasekara, Samuel I. Miller, Bonnie W. Ramsey, Julia Emerson, Patricia A. Totten, Lisa E. Manhart, King K. Holmes and James P. Hughes and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Clinical Infectious Diseases and American Journal of Public Health.

In The Last Decade

Laura S. Houston

7 papers receiving 776 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laura S. Houston United States 7 461 308 214 176 132 7 791
Vanderlene L. Kung United States 11 481 1.0× 74 0.2× 200 0.9× 80 0.5× 144 1.1× 29 866
Kasper Aanæs Denmark 18 328 0.7× 831 2.7× 161 0.8× 42 0.2× 105 0.8× 48 1.2k
Britta L. Swanson United States 9 431 0.9× 90 0.3× 370 1.7× 69 0.4× 172 1.3× 11 699
John W. Ogle United States 10 187 0.4× 420 1.4× 183 0.9× 43 0.2× 49 0.4× 22 795
Charmaine Kirkham United States 18 155 0.3× 187 0.6× 93 0.4× 411 2.3× 33 0.3× 30 873
Glen McGillivary United States 13 209 0.5× 88 0.3× 69 0.3× 229 1.3× 51 0.4× 15 620
D. Kenna United Kingdom 17 189 0.4× 204 0.7× 137 0.6× 29 0.2× 33 0.3× 37 685
I Maciver United States 13 109 0.2× 80 0.3× 148 0.7× 346 2.0× 73 0.6× 17 710
Kristin E. D. Weimer United States 10 159 0.3× 146 0.5× 26 0.1× 172 1.0× 52 0.4× 18 637
Janice Matthews-Greer United States 11 133 0.3× 52 0.2× 63 0.3× 100 0.6× 55 0.4× 14 457

Countries citing papers authored by Laura S. Houston

Since Specialization
Citations

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

Fields of papers citing papers by Laura S. Houston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura S. Houston. 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 Laura S. Houston. The network helps show where Laura S. Houston may publish in the future.

Co-authorship network of co-authors of Laura S. Houston

This figure shows the co-authorship network connecting the top 25 collaborators of Laura S. Houston. A scholar is included among the top collaborators of Laura S. Houston 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 Laura S. Houston. Laura S. Houston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Mayer-Hamblett, Nicole, Margaret Rosenfeld, Ronald L. Gibson, et al.. (2014). Pseudomonas aeruginosa In Vitro Phenotypes Distinguish Cystic Fibrosis Infection Stages and Outcomes. American Journal of Respiratory and Critical Care Medicine. 190(3). 289–297. 79 indexed citations
2.
Mayer-Hamblett, Nicole, Bonnie W. Ramsey, Hemantha D. Kulasekara, et al.. (2014). Pseudomonas aeruginosa Phenotypes Associated With Eradication Failure in Children With Cystic Fibrosis. Clinical Infectious Diseases. 59(5). 624–631. 55 indexed citations
3.
Wolter, Daniel J., Julia Emerson, Sharon McNamara, et al.. (2013). Staphylococcus aureus Small-Colony Variants Are Independently Associated With Worse Lung Disease in Children With Cystic Fibrosis. Clinical Infectious Diseases. 57(3). 384–391. 134 indexed citations
4.
Hoffman, Lucas R., Anthony R. Richardson, Laura S. Houston, et al.. (2010). Nutrient Availability as a Mechanism for Selection of Antibiotic Tolerant Pseudomonas aeruginosa within the CF Airway. PLoS Pathogens. 6(1). e1000712–e1000712. 111 indexed citations
5.
Hoffman, Lucas R., Hemantha D. Kulasekara, Julia Emerson, et al.. (2008). Pseudomonas aeruginosa lasR mutants are associated with cystic fibrosis lung disease progression. Journal of Cystic Fibrosis. 8(1). 66–70. 229 indexed citations
6.
Manhart, Lisa E., King K. Holmes, James P. Hughes, Laura S. Houston, & Patricia A. Totten. (2007). Mycoplasma genitalium Among Young Adults in the United States: An Emerging Sexually Transmitted Infection. American Journal of Public Health. 97(6). 1118–1125. 151 indexed citations
7.
Roberts, Frank A., Laura S. Houston, Sheila A. Lukehart, et al.. (2004). Periodontitis Vaccine Decreases Local Prostaglandin E 2 Levels in a Primate Model. Infection and Immunity. 72(2). 1166–1168. 32 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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