Kate Brown

6.1k total citations · 1 hit paper
176 papers, 3.3k citations indexed

About

Kate Brown is a scholar working on Epidemiology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kate Brown has authored 176 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Epidemiology, 55 papers in Surgery and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kate Brown's work include Congenital Heart Disease Studies (85 papers), Mechanical Circulatory Support Devices (39 papers) and Cardiac Arrest and Resuscitation (22 papers). Kate Brown is often cited by papers focused on Congenital Heart Disease Studies (85 papers), Mechanical Circulatory Support Devices (39 papers) and Cardiac Arrest and Resuscitation (22 papers). Kate Brown collaborates with scholars based in United Kingdom, United States and Australia. Kate Brown's co-authors include Jo Wray, Deborah Ridout, Alise de Bie, Allan P. Goldman, Aparna Hoskote, Sonya Crowe, Rodney C. G. Franklin, Andrew K Ewer, Shakila Thangaratinam and Khalid S. Khan and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Kate Brown

163 papers receiving 3.2k citations

Hit Papers

Care work: dreaming disability justice 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate Brown United Kingdom 28 1.6k 997 903 754 627 176 3.3k
Erwin Birnie Netherlands 41 375 0.2× 604 0.6× 533 0.6× 97 0.1× 736 1.2× 233 5.4k
Alison Eastwood United Kingdom 30 382 0.2× 629 0.6× 459 0.5× 90 0.1× 347 0.6× 90 3.7k
Elizabeth Robinson New Zealand 22 253 0.2× 785 0.8× 159 0.2× 133 0.2× 365 0.6× 44 3.8k
Timothy R.B. Johnson United States 33 489 0.3× 417 0.4× 543 0.6× 67 0.1× 382 0.6× 154 4.1k
Ilana Shoham‐Vardi Israel 41 605 0.4× 605 0.6× 447 0.5× 82 0.1× 318 0.5× 173 4.8k
Michele R. Hacker United States 38 489 0.3× 749 0.8× 307 0.3× 56 0.1× 293 0.5× 303 5.7k
Gwen R. Rempel Canada 28 1.2k 0.8× 515 0.5× 309 0.3× 46 0.1× 556 0.9× 59 2.8k
J. Deane Waldman United States 22 789 0.5× 492 0.5× 648 0.7× 118 0.2× 321 0.5× 78 1.9k
Kirsten Fonager Denmark 24 678 0.4× 777 0.8× 105 0.1× 110 0.1× 256 0.4× 92 2.5k
D. Thomas Australia 34 189 0.1× 975 1.0× 166 0.2× 268 0.4× 170 0.3× 178 3.7k

Countries citing papers authored by Kate Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kate Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Brown

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

All Works

20 of 20 papers shown
1.
Marino, Luise V., et al.. (2025). Feeding behaviour in children and young people with a ventricular assist device (VAD): a scoping review. ePrints Soton (University of Southampton). 3(1). 1 indexed citations
2.
Huang, Qi, Deborah Ridout, Victor Tsang, et al.. (2023). Risk Factors for Reintervention With Functionally Single-Ventricle Disease Undergoing Staged Palliation in England and Wales: A Retrospective Cohort Study. Circulation. 148(17). 1343–1345. 2 indexed citations
3.
Lindsay, Colin R., Pantelis Nicola, Andreas Gruber, et al.. (2023). Abstract 6463: Persistence of smoking mutational signatures in the non-small cell lung cancer genome. Cancer Research. 83(7_Supplement). 6463–6463. 1 indexed citations
4.
Brown, Kate, et al.. (2023). Procalcitonin Values Fail to Track the Presence of Secondary Bacterial Infections in COVID-19 ICU Patients. Antibiotics. 12(4). 709–709. 4 indexed citations
6.
Drury, Nigel E, Clare P Herd, Giovanni Biglino, et al.. (2022). Research priorities in children and adults with congenital heart disease: a James Lind Alliance Priority Setting Partnership. Open Heart. 9(2). e002147–e002147. 10 indexed citations
7.
Pujol, Ferran Espuny, Christina Pagel, Kate Brown, et al.. (2022). Linkage of National Congenital Heart Disease Audit data to hospital, critical care and mortality national data sets to enable research focused on quality improvement. BMJ Open. 12(5). e057343–e057343. 8 indexed citations
9.
Hoskote, Aparna, Deborah Ridout, Victoria Banks, et al.. (2020). Neurodevelopmental status and follow-up in preschool children with heart disease in London, UK. Archives of Disease in Childhood. 106(3). 263–271. 9 indexed citations
10.
Smith, Liz, Raymond Hreiche, Deborah Ridout, et al.. (2017). The 1-Year Follow-Up Clinic for Neonates and Children After Respiratory Extracorporeal Membrane Oxygenation Support: A 10-Year Single Institution Experience*. Pediatric Critical Care Medicine. 18(11). 1047–1054. 24 indexed citations
11.
Pagel, Christina, Catherine Pope, Pauline Whitmore, et al.. (2017). Development, implementation and evaluation of a tool for forecasting short term demand for beds in an intensive care unit. Operations Research for Health Care. 15. 19–31. 10 indexed citations
12.
Crowe, Sonya, Rachel L Knowles, Jo Wray, et al.. (2016). Identifying improvements to complex pathways: evidence synthesis and stakeholder engagement in infant congenital heart disease. BMJ Open. 6(6). e010363–e010363. 17 indexed citations
13.
Tregay, Jenifer, Jo Wray, Sonya Crowe, et al.. (2016). Going home after infant cardiac surgery: a UK qualitative study. Archives of Disease in Childhood. 101(4). 320–325. 37 indexed citations
14.
Brown, Kate. (2015). Vulnerability and Young People. Policy Press eBooks. 1 indexed citations
15.
Brown, Kate. (2015). Vulnerability and Young People. Policy Press eBooks. 1 indexed citations
16.
Crowe, Sonya, Kate Brown, Christina Pagel, et al.. (2012). Development of a diagnosis- and procedure-based risk model for 30-day outcome after pediatric cardiac surgery. Journal of Thoracic and Cardiovascular Surgery. 145(5). 1270–1278. 31 indexed citations
17.
Brown, Kate, et al.. (2010). The relationship between workload and medical staffing levels in a paediatric cardiac intensive care unit. Intensive Care Medicine. 37(2). 326–333. 12 indexed citations
18.
Brown, Kate, Deborah Ridout, Jane Cassidy, et al.. (2009). Extracorporeal membrane oxygenation and term neonatal respiratory failure deaths in the United Kingdom compared with the United States: 1999 to 2005. Pediatric Critical Care Medicine. 11(1). 60–65. 14 indexed citations
19.
Brown, Kate & Allan P. Goldman. (2008). Neonatal extra-corporeal life support: Indications and limitations. Early Human Development. 84(3). 143–148. 6 indexed citations
20.
Brown, Kate, et al.. (2000). The Learning Journey.. Adults learning. 11(8). 25–27. 1 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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