Sally Galbraith

1.3k total citations
19 papers, 733 citations indexed

About

Sally Galbraith is a scholar working on Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sally Galbraith has authored 19 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sally Galbraith's work include Respiratory viral infections research (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Statistical Methods in Clinical Trials (3 papers). Sally Galbraith is often cited by papers focused on Respiratory viral infections research (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Statistical Methods in Clinical Trials (3 papers). Sally Galbraith collaborates with scholars based in Australia, United States and United Kingdom. Sally Galbraith's co-authors include Bryce Vissel, James Daniel, Adrian Mander, Jack Bowden, Ian C. Marschner, Peter D. Sly, Patrick G. Holt, Emmanuelle Fantino, David R. Croucher and Barbara J. Holt and has published in prestigious journals such as Journal of Neuroscience, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

Sally Galbraith

19 papers receiving 721 citations

Peers

Sally Galbraith

EPIDE

PRM

CMN

Mohammad F. Huque United States

Robert M. Kirkpatrick United States

Carel F.W. Peeters Netherlands

Linda L. McCabe United States

Lior Rennert United States

Daniel Kuang United States

Kathryn Dawson United States

Chantel Sloan United States

Aysu Okbay Netherlands

Gyða Björnsdóttir Iceland

Mohammad F. Huque United States

Sally Galbraith

102 ×0.8

EPIDE

89 ×0.8

507 ×5.1

40 ×0.5

PRM

65 ×0.9

CMN

Citations per year, relative to Sally Galbraith Sally Galbraith (= 1×) peers Mohammad F. Huque

Countries citing papers authored by Sally Galbraith

Since Specialization

Citations

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

Fields of papers citing papers by Sally Galbraith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sally Galbraith

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Troy, Niamh, Deborah H. Strickland, Michael Serralha, et al.. (2022). Protection against severe infant lower respiratory tract infections by immune training: Mechanistic studies. Journal of Allergy and Clinical Immunology. 150(1). 93–103. 17 indexed citations

Sly, Peter D., Sally Galbraith, Mohammad Zahirul Islam, et al.. (2019). Primary prevention of severe lower respiratory illnesses in at-risk infants using the immunomodulator OM-85. Journal of Allergy and Clinical Immunology. 144(3). 870–872.e11. 29 indexed citations

Yeo, Abrey J., Anna Henningham, Emmanuelle Fantino, et al.. (2019). Increased susceptibility of airway epithelial cells from ataxia-telangiectasia to S. pneumoniae infection due to oxidative damage and impaired innate immunity. Scientific Reports. 9(1). 2627–2627. 18 indexed citations

Jones, Anya C., Denise Anderson, Sally Galbraith, et al.. (2018). Personalized Transcriptomics Reveals Heterogeneous Immunophenotypes in Children with Viral Bronchiolitis. American Journal of Respiratory and Critical Care Medicine. 199(12). 1537–1549. 26 indexed citations

Galbraith, Sally, et al.. (2018). Integrative exploration of large high-dimensional datasets. The Annals of Applied Statistics. 12(1). 9 indexed citations

Brealey, Jaelle C., Keith J. Chappell, Sally Galbraith, et al.. (2017). Streptococcus pneumoniae colonization of the nasopharynx is associated with increased severity during respiratory syncytial virus infection in young children. Respirology. 23(2). 220–227. 50 indexed citations

Baturcam, Engin, Emma Thomas, Jayden Logan, et al.. (2016). Human Metapneumovirus Impairs Apoptosis of Nasal Epithelial Cells in Asthma via HSP70. Journal of Innate Immunity. 9(1). 52–64. 17 indexed citations

Galbraith, Sally, Jack Bowden, & Adrian Mander. (2014). Accelerated longitudinal designs: An overview of modelling, power, costs and handling missing data. Statistical Methods in Medical Research. 26(1). 374–398. 144 indexed citations

Galbraith, Sally. (2012). Applied Missing Data Analysis by Craig K Enders. Australian & New Zealand Journal of Statistics. 54(2). 251–251. 16 indexed citations

10.

Cameron, Barbara, et al.. (2012). Correlates and characteristics of hepatitis C virus‐specific T‐cell immunity in exposed uninfected high‐risk prison inmates. Journal of Viral Hepatitis. 20(4). e96–106. 15 indexed citations

11.

Galbraith, Sally, et al.. (2011). Peripheral Blood Gene Expression in Postinfective Fatigue Syndrome Following From Three Different Triggering Infections. The Journal of Infectious Diseases. 204(10). 1632–1640. 19 indexed citations

12.

Motyer, Allan, et al.. (2011). LASSO model selection with post-processing for a genome-wide association study data set. BMC Proceedings. 5(S9). S24–S24. 6 indexed citations

13.

Galbraith, Sally, James Daniel, & Bryce Vissel. (2010). A Study of Clustered Data and Approaches to Its Analysis. Journal of Neuroscience. 30(32). 10601–10608. 169 indexed citations

14.

Daniel, James, Sally Galbraith, Lorraine Iacovitti, Andrea Abdipranoto, & Bryce Vissel. (2009). Functional Heterogeneity at Dopamine Release Sites. Journal of Neuroscience. 29(46). 14670–14680. 29 indexed citations

15.

Park, Jin‐Sung, David R. Croucher, James Daniel, et al.. (2009). Activin A Is Essential for Neurogenesis Following Neurodegeneration. Stem Cells. 27(6). 1330–1346. 67 indexed citations

16.

Cameron, Barbara, Sally Galbraith, Yun Zhang, et al.. (2007). Gene Expression Correlates of Postinfective Fatigue Syndrome after Infectious Mononucleosis. The Journal of Infectious Diseases. 196(1). 56–66. 17 indexed citations

17.

Lassere, Marissa, Kent Johnson, Michael Hughes, et al.. (2007). Simulation studies of surrogate endpoint validation using single trial and multitrial statistical approaches.. PubMed. 34(3). 616–9. 8 indexed citations

18.

Galbraith, Sally & Ian C. Marschner. (2003). Interim analysis of continuous long‐term endpoints in clinical trials with longitudinal outcomes. Statistics in Medicine. 22(11). 1787–1805. 34 indexed citations

19.

Galbraith, Sally, et al.. (2002). Guidelines for the design of clinical trials with longitudinal outcomes. Controlled Clinical Trials. 23(3). 257–273. 43 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.

Explore authors with similar magnitude of impact