Julie Darbyshire

1.8k total citations · 1 hit paper
43 papers, 1.2k citations indexed

About

Julie Darbyshire is a scholar working on Critical Care and Intensive Care Medicine, Surgery and General Health Professions. According to data from OpenAlex, Julie Darbyshire has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Critical Care and Intensive Care Medicine, 9 papers in Surgery and 8 papers in General Health Professions. Recurrent topics in Julie Darbyshire's work include Intensive Care Unit Cognitive Disorders (16 papers), Long-Term Effects of COVID-19 (7 papers) and Healthcare Technology and Patient Monitoring (6 papers). Julie Darbyshire is often cited by papers focused on Intensive Care Unit Cognitive Disorders (16 papers), Long-Term Effects of COVID-19 (7 papers) and Healthcare Technology and Patient Monitoring (6 papers). Julie Darbyshire collaborates with scholars based in United Kingdom, Australia and Germany. Julie Darbyshire's co-authors include Duncan Young, Rury R. Holman, Andrew Farmer, J Lévy, Sanjoy K. Paul, Melanie J. Davies, Markus Müller-Trapet, Jordan Cheer, Filippo Maria Fazi and Peter Watkinson and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Julie Darbyshire

41 papers receiving 1.1k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Three-Year Efficacy of Complex Insulin Regimens in Type 2 Diabetes

2009 502 citations Rury R. Holman, Andrew Farmer et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julie Darbyshire United Kingdom	13	495	317	227	158	137	43	1.2k
Thierry Constans France	20	155 0.3×	80 0.3×	125 0.6×	60 0.4×	84 0.6×	61	1.1k
Aleksandra Szylińska Poland	16	67 0.1×	301 0.9×	119 0.5×	28 0.2×	63 0.5×	80	930
Kee‐Hsin Chen Taiwan	17	35 0.1×	182 0.6×	165 0.7×	36 0.2×	87 0.6×	63	970
Thuy‐Tien Dam United States	19	87 0.2×	93 0.3×	226 1.0×	62 0.4×	134 1.0×	20	2.2k
Niamh O’Regan Ireland	20	107 0.2×	796 2.5×	101 0.4×	16 0.1×	27 0.2×	44	1.3k
Chih‐Kuang Liang Taiwan	23	49 0.1×	188 0.6×	107 0.5×	63 0.4×	29 0.2×	97	1.5k
Kimberly A. Faulkner United States	20	270 0.5×	12 0.0×	138 0.6×	126 0.8×	161 1.2×	28	1.6k
Kimia Honarmand Canada	16	44 0.1×	154 0.5×	82 0.4×	18 0.1×	70 0.5×	41	1.1k
S.F. Jones United States	11	43 0.1×	295 0.9×	104 0.5×	9 0.1×	206 1.5×	41	906
Kevin C. Fleming United States	21	46 0.1×	84 0.3×	290 1.3×	26 0.2×	32 0.2×	29	1.2k

Countries citing papers authored by Julie Darbyshire

Since Specialization

Citations

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

Fields of papers citing papers by Julie Darbyshire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Darbyshire

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

All Works

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20 of 20 papers shown

Hughes, Gemma, et al.. (2025). Choosing wisely? A frame analysis of the evolution and adoption of shared decision making in the UK. SSM - Qualitative Research in Health. 8. 100579–100579.

Lee, Cassie, Paul Williams, Julie Darbyshire, et al.. (2025). What Can We Learn Four Years On? A Multi‐Centre Service Evaluation Exploring Symptoms, Functional Impact, Recovery and Care Pathways in Long Covid. Health Expectations. 28(6). e70435–e70435.

Hope, Joanna, Chiara Dall’Ora, Oliver Redfern, Julie Darbyshire, & Peter Griffiths. (2025). Why vital signs observations are delayed and interrupted on acute hospital wards: A multisite observational study. International Journal of Nursing Studies. 164. 105018–105018. 1 indexed citations

Greenhalgh, Trisha, Julie Darbyshire, Emma Ladds, Jackie van Dael, & Clare Rayner. (2024). Working knowledge, uncertainty and ontological politics: An ethnography of UK long covid clinics. Sociology of Health & Illness. 46(8). 1881–1900. 2 indexed citations

Pimentel, Marco A. F., Alistair E. W. Johnson, Julie Darbyshire, et al.. (2024). Development of an enhanced scoring system to predict ICU readmission or in-hospital death within 24 hours using routine patient data from two NHS Foundation Trusts. BMJ Open. 14(4). e074604–e074604. 3 indexed citations

Briggs, Jim, Ina Kostakis, Paul Meredith, et al.. (2024). Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study. SHILAP Revista de lepidopterología. 28(3). 1–143. 3 indexed citations

McWilliams, David, Elizabeth King, Peter Nydahl, et al.. (2023). Mobilisation in the EveNing to TreAt deLirium (MENTAL): protocol for a mixed-methods feasibility randomised controlled trial. BMJ Open. 13(2). e066143–e066143. 2 indexed citations

Darbyshire, Julie, et al.. (2023). Design and validation of a new Healthcare Systems Usability Scale (HSUS) for clinical decision support systems: a mixed-methods approach. BMJ Open. 13(1). e065323–e065323. 11 indexed citations

Sivan, Manoj, Trisha Greenhalgh, Julie Darbyshire, et al.. (2022). LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION): protocol for a mixed-methods study in the UK. BMJ Open. 12(5). e063505–e063505. 32 indexed citations

10.

Garside, Tessa, et al.. (2021). Risk factors for new-onset atrial fibrillation during critical illness: A Delphi study. Journal of the Intensive Care Society. 23(4). 414–424. 8 indexed citations

11.

Darbyshire, Julie, Paul Greig, Lisa Hinton, & Duncan Young. (2021). Monitoring sound levels in the intensive care unit: A mixed-methods system development project to optimize design features for a new electronic interface in the healthcare environment. International Journal of Medical Informatics. 153. 104538–104538. 5 indexed citations

12.

Vollam, Sarah, et al.. (2020). Non-contact vital sign monitoring of patients in an intensive care unit: A human factors analysis of staff expectations. Applied Ergonomics. 90. 103149–103149. 5 indexed citations

13.

Petrinic, Tatjana, et al.. (2019). How human factors affect escalation of care: a protocol for a qualitative evidence synthesis of studies. BMJ Open. 9(4). e025969–e025969. 4 indexed citations

14.

Greig, Paul & Julie Darbyshire. (2018). Medical educational theory in practice. BJA Education. 19(2). 40–46. 3 indexed citations

15.

Darbyshire, Julie & Lisa Hinton. (2018). Using patient narratives to design an intervention to reduce noise in the intensive\ncare unit. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations

16.

Greig, Paul, Helen Higham, Julie Darbyshire, & Charles Vincent. (2016). Go/no-go decision in anaesthesia: wide variation in risk tolerance amongst anaesthetists. British Journal of Anaesthesia. 118(5). 740–746. 9 indexed citations

17.

Darbyshire, Julie & Duncan Young. (2013). An investigation of sound levels on intensive care units with reference to the WHO guidelines. Critical Care. 17(5). R187–R187. 195 indexed citations

18.

Lawton, Julia, Nicholas Jenkins, Julie Darbyshire, et al.. (2011). Understanding the outcomes of multi-centre clinical trials: A qualitative study of health professional experiences and views. Social Science & Medicine. 74(4). 574–581. 34 indexed citations

19.

Holman, Rury R. & Julie Darbyshire. (2010). Insulin Regimens in Type 2 Diabetes REPLY. New England Journal of Medicine. 362. 960–960. 1 indexed citations

20.

Darbyshire, Julie, Rury R. Holman, & Hermione Price. (2009). Presenting the results of clinical trials to participants. Clinical Medicine. 9(5). 415–416. 4 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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