Hannah Bayes

4.6k total citations
18 papers, 487 citations indexed

About

Hannah Bayes is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Hannah Bayes has authored 18 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Hannah Bayes's work include Cystic Fibrosis Research Advances (4 papers), Asthma and respiratory diseases (4 papers) and Emergency and Acute Care Studies (3 papers). Hannah Bayes is often cited by papers focused on Cystic Fibrosis Research Advances (4 papers), Asthma and respiratory diseases (4 papers) and Emergency and Acute Care Studies (3 papers). Hannah Bayes collaborates with scholars based in United Kingdom, Canada and Iraq. Hannah Bayes's co-authors include Neil Ritchie, Thomas J. Evans, Tom Evans, Daniel J. Puleston, Clare Bryant, Panagiotis Tourlomousis, Anna Katharina Simon, Dong Li, Lee Hopkins and Majid S. Jabir and has published in prestigious journals such as PLoS ONE, Scientific Reports and Infection and Immunity.

In The Last Decade

Hannah Bayes

16 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah Bayes United Kingdom 10 246 178 125 92 43 18 487
Gayathriy Balamayooran United States 10 124 0.5× 223 1.3× 123 1.0× 111 1.2× 37 0.9× 19 530
Carles Saus Spain 11 128 0.5× 69 0.4× 124 1.0× 197 2.1× 84 2.0× 23 565
Joo‐Yong Jung United States 11 99 0.4× 204 1.1× 113 0.9× 30 0.3× 21 0.5× 12 428
Kirill Tsyganov Australia 10 176 0.7× 192 1.1× 58 0.5× 48 0.5× 71 1.7× 16 472
J. Riethmueller Germany 12 173 0.7× 101 0.6× 139 1.1× 377 4.1× 43 1.0× 17 609
Amanda Nymon United States 13 170 0.7× 76 0.4× 86 0.7× 242 2.6× 30 0.7× 19 461
Alexander Skeldon Canada 9 312 1.3× 164 0.9× 109 0.9× 83 0.9× 29 0.7× 10 501
Nikhil N Kulkarni United States 11 120 0.5× 94 0.5× 63 0.5× 23 0.3× 16 0.4× 15 382
Aaron F. Hirschfeld Canada 12 125 0.5× 204 1.1× 157 1.3× 247 2.7× 34 0.8× 20 580
Daphnée Soulard France 14 148 0.6× 289 1.6× 131 1.0× 32 0.3× 31 0.7× 19 499

Countries citing papers authored by Hannah Bayes

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Bayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Bayes

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

All Works

18 of 18 papers shown
1.
Sykes, Robert, Andrew Morrow, Kenneth Mangion, et al.. (2025). Radiological abnormalities persist following COVID-19 and correlate with impaired health-related quality of life: a prospective cohort study of hospitalised patients. BMJ Open Respiratory Research. 12(1). e001985–e001985.
2.
Levin, Kate, et al.. (2022). Multi-disciplinary community respiratory team management of patients with chronic respiratory illness during the COVID-19 pandemic. npj Primary Care Respiratory Medicine. 32(1). 26–26. 2 indexed citations
3.
4.
Bayes, Hannah, et al.. (2020). Acute severe asthma in adults. Medicine. 48(5). 297–302. 1 indexed citations
5.
6.
Bunk, Boyke, Hannah Bayes, Cathrin Spröer, et al.. (2019). Genomic and transcriptomic characterization of Pseudomonas aeruginosa small colony variants derived from a chronic infection model. Microbial Genomics. 5(4). 18 indexed citations
7.
Ritchie, Neil, Ryan Ritchie, Hannah Bayes, Timothy J. Mitchell, & Tom Evans. (2018). IL-17 can be protective or deleterious in murine pneumococcal pneumonia. PLoS Pathogens. 14(5). e1007099–e1007099. 34 indexed citations
8.
Bayes, Hannah, Neil Ritchie, & Thomas J. Evans. (2016). Interleukin-17 Is Required for Control of Chronic Lung Infection Caused by Pseudomonas aeruginosa. Infection and Immunity. 84(12). 3507–3516. 61 indexed citations
9.
Bayes, Hannah, Neil Ritchie, Chris Ward, et al.. (2016). IL-22 exacerbates weight loss in a murine model of chronic pulmonary Pseudomonas aeruginosa infection. Journal of Cystic Fibrosis. 15(6). 759–768. 10 indexed citations
10.
Bayes, Hannah & Douglas C. Cowan. (2016). Biomarkers and asthma management. Current Opinion in Allergy and Clinical Immunology. 16(3). 210–217. 11 indexed citations
11.
Bayes, Hannah, et al.. (2016). A murine model of early Pseudomonas aeruginosa lung disease with transition to chronic infection. Scientific Reports. 6(1). 35838–35838. 43 indexed citations
12.
Bayes, Hannah & Neil C. Thomson. (2016). Acute severe asthma in adults. Medicine. 44(5). 297–300. 1 indexed citations
13.
Jabir, Majid S., Lee Hopkins, Neil Ritchie, et al.. (2015). Mitochondrial damage contributes toPseudomonas aeruginosaactivation of the inflammasome and is downregulated by autophagy. Autophagy. 11(1). 166–182. 136 indexed citations
14.
Jabir, Majid S., Neil Ritchie, Dong Li, et al.. (2014). Caspase-1 Cleavage of the TLR Adaptor TRIF Inhibits Autophagy and β-Interferon Production during Pseudomonas aeruginosa Infection. Cell Host & Microbe. 15(2). 214–227. 84 indexed citations
15.
Bayes, Hannah, Stephen Bicknell, Gordon MacGregor, & Tom Evans. (2014). T Helper Cell Subsets Specific for Pseudomonas aeruginosa in Healthy Individuals and Patients with Cystic Fibrosis. PLoS ONE. 9(2). e90263–e90263. 36 indexed citations
16.
Bayes, Hannah, Colin Church, & Andrew J. Fisher. (2012). Review of the British Thoracic Society Winter Meeting 2011, 7–9 December, London, UK. Thorax. 67(3). 258–262. 1 indexed citations
17.
Church, Colin, Hannah Bayes, & Andrew J. Fisher. (2011). A review of the British Thoracic Society scientific meeting 1-3 December 2010. Thorax. 66(3). 253–258. 2 indexed citations
18.
Bayes, Hannah, Christopher J. Weir, & Colin O’Leary. (2009). Timing of Birth and Risk of Multiple Sclerosis in the Scottish Population. European Neurology. 63(1). 36–40. 45 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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