Helen Higham

1.3k total citations
46 papers, 724 citations indexed

About

Helen Higham is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Emergency Medical Services. According to data from OpenAlex, Helen Higham has authored 46 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 14 papers in Surgery and 14 papers in Emergency Medical Services. Recurrent topics in Helen Higham's work include Cardiac, Anesthesia and Surgical Outcomes (18 papers), Patient Safety and Medication Errors (12 papers) and Surgical Simulation and Training (11 papers). Helen Higham is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (18 papers), Patient Safety and Medication Errors (12 papers) and Surgical Simulation and Training (11 papers). Helen Higham collaborates with scholars based in United Kingdom, United States and France. Helen Higham's co-authors include Michael Kemp, Jackie Donovan, James Hooper, Bryn Baxendale, John W. Sear, Paul Greig, Charles Vincent, James Bowness, J. Alison Noble and David Burckett-St Laurent and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Lancet Infectious Diseases and British Journal of Anaesthesia.

In The Last Decade

Helen Higham

40 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen Higham United Kingdom 14 327 257 103 83 71 46 724
Andrew R.J. Mitchell United Kingdom 21 619 1.9× 325 1.3× 72 0.7× 30 0.4× 67 0.9× 129 1.2k
Marc Sussman United States 24 345 1.1× 469 1.8× 50 0.5× 95 1.1× 24 0.3× 51 1.3k
Brent Richards Australia 18 85 0.3× 84 0.3× 35 0.3× 74 0.9× 79 1.1× 43 910
Sneha S. Jain United States 10 475 1.5× 165 0.6× 29 0.3× 47 0.6× 13 0.2× 42 1.8k
Kyan C. Safavi United States 11 210 0.6× 141 0.5× 22 0.2× 77 0.9× 15 0.2× 33 595
Emmanuel Sorbets France 15 419 1.3× 156 0.6× 67 0.7× 166 2.0× 9 0.1× 32 939
William Feaster United States 14 122 0.4× 146 0.6× 41 0.4× 63 0.8× 20 0.3× 37 571
Alon Geva United States 13 108 0.3× 83 0.3× 44 0.4× 63 0.8× 24 0.3× 50 551
Yaroslava Longhitano Italy 18 73 0.2× 148 0.6× 54 0.5× 48 0.6× 20 0.3× 84 1.1k
David E. Winchester United States 16 537 1.6× 265 1.0× 96 0.9× 63 0.8× 10 0.1× 108 1.2k

Countries citing papers authored by Helen Higham

Since Specialization
Citations

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

Fields of papers citing papers by Helen Higham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Higham

This figure shows the co-authorship network connecting the top 25 collaborators of Helen Higham. A scholar is included among the top collaborators of Helen Higham 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 Helen Higham. Helen Higham 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.
Vincent, Charles, Tommaso Bellandi, Helen Higham, et al.. (2025). Systems analysis of clinical incidents: development of a new edition of the London Protocol. BMJ Quality & Safety. 34(6). 413–420. 6 indexed citations
2.
Higham, Helen, et al.. (2025). Confidence and certainty in medical diagnoses within acute healthcare: a scoping review. BMJ Quality & Safety. 35(3). 188–200.
3.
Thurley, Neal, et al.. (2025). Communication Between Anaesthesia Providers for Clinical and Professional Purposes: A Scoping Review. Anesthesiology Research and Practice. 2025(1). 3598234–3598234.
4.
O’Hara, Jane, et al.. (2025). Designing better systems to navigate the sepsis–antimicrobial stewardship tension. The Lancet Infectious Diseases. 25(9). e527–e532. 2 indexed citations
5.
6.
Higham, Helen, et al.. (2024). Patient safety incidents in anaesthesia: a qualitative study of trainee experience from a single UK healthcare region*. Anaesthesia. 80(1). 59–73. 1 indexed citations
7.
Bowness, James, David Metcalfe, Kariem El‐Boghdadly, et al.. (2024). Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines. British Journal of Anaesthesia. 132(5). 1049–1062. 16 indexed citations
8.
Macfarlane, Alan, David Burckett-St Laurent, Amit Pawa, et al.. (2024). Prospective randomized evaluation of the sustained impact of assistive artificial intelligence on anesthetists’ ultrasound scanning for regional anesthesia. SHILAP Revista de lepidopterología. 6(1). e000264–e000264. 2 indexed citations
9.
10.
Bowness, James, David Metcalfe, Kariem El‐Boghdadly, et al.. (2023). Artificial Intelligence for Anatomical Structure Identification on Ultrasound in Regional Anaesthesia: A Scoping Review Protocol. medRxiv. 1 indexed citations
11.
Higham, Helen, Lauren Morgan, Cushla Cooper, et al.. (2023). Adopting human factors in early phase and experimental medicine research: A nested pilot study observing controlled human infection with SARS‐CoV‐2. British Journal of Clinical Pharmacology. 90(7). 1586–1599. 2 indexed citations
12.
Higham, Helen, et al.. (2023). A study of validity and usability evidence for non-technical skills assessment tools in simulated adult resuscitation scenarios. BMC Medical Education. 23(1). 153–153. 5 indexed citations
13.
Bowness, James, Kariem El‐Boghdadly, Glenn E. Woodworth, et al.. (2022). Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia. Regional Anesthesia & Pain Medicine. 47(6). 375–379. 36 indexed citations
14.
Bowness, James, David Burckett-St Laurent, Nadia Hernandez, et al.. (2022). Assistive artificial intelligence for ultrasound image interpretation in regional anaesthesia: an external validation study. British Journal of Anaesthesia. 130(2). 217–225. 45 indexed citations
15.
Bowness, James, Alan Macfarlane, David Burckett-St Laurent, et al.. (2022). Evaluation of the impact of assistive artificial intelligence on ultrasound scanning for regional anaesthesia. British Journal of Anaesthesia. 130(2). 226–233. 33 indexed citations
16.
Higham, Helen, et al.. (2022). Non-technical Skills for Medical Students: Validating the Tools of the Trade. Cureus. 14(5). e24776–e24776. 1 indexed citations
17.
Greig, Paul, Anne Marie Maloney, & Helen Higham. (2020). Emergencies in general practice: could checklists support teams in stressful situations?. British Journal of General Practice. 70(695). 304–305. 3 indexed citations
18.
Woodward, Matthew, Christopher Pennell, Helen Higham, et al.. (2018). Improving emergency surgical care for patients with right iliac fossa pain at a regional scale: A quality improvement study using the Supported Champions implementation strategy. International Journal of Surgery. 57. 105–110. 2 indexed citations
19.
Higham, Helen, et al.. (2013). Simulation training for dental foundation in oral and maxillofacial surgery – a new benchmark. BDJ. 215(11). 571–576. 8 indexed citations
20.
Higham, Helen, et al.. (2001). Peri‐operative silent myocardial ischaemia and long‐term adverse outcomes in non‐cardiac surgical patients*. Anaesthesia. 56(7). 630–637. 21 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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