James Glancy

669 total citations
11 papers, 509 citations indexed

About

James Glancy is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, James Glancy has authored 11 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 2 papers in Biomedical Engineering and 1 paper in Infectious Diseases. Recurrent topics in James Glancy's work include Cardiac electrophysiology and arrhythmias (7 papers), ECG Monitoring and Analysis (6 papers) and Cardiac pacing and defibrillation studies (5 papers). James Glancy is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), ECG Monitoring and Analysis (6 papers) and Cardiac pacing and defibrillation studies (5 papers). James Glancy collaborates with scholars based in United Kingdom. James Glancy's co-authors include D P de Bono, Chris Garratt, K L Woods, KL Woods, P.J. Weston, David P. de Bono, Clifford J. Garratt, Paul G. McNally, H. Thurston and Sue Jones and has published in prestigious journals such as The Lancet, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

James Glancy

10 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Glancy United Kingdom	7	475	70	60	38	19	11	509
Alan Woelfel United States	12	427 0.9×	40 0.6×	36 0.6×	60 1.6×	25 1.3×	20	466
Antti Eranti Finland	12	387 0.8×	43 0.6×	35 0.6×	46 1.2×	27 1.4×	28	441
Jonathan Peng United States	5	682 1.4×	167 2.4×	52 0.9×	44 1.2×	31 1.6×	7	721
Markus Zarse Germany	15	579 1.2×	39 0.6×	30 0.5×	78 2.1×	25 1.3×	56	638
Kikuya Uno Japan	15	750 1.6×	204 2.9×	57 0.9×	70 1.8×	22 1.2×	46	807
Rachel M.A. ter Bekke Netherlands	12	342 0.7×	45 0.6×	69 1.1×	37 1.0×	34 1.8×	44	388
Soufian Almahameed United States	10	396 0.8×	33 0.5×	39 0.7×	85 2.2×	34 1.8×	21	443
Ann C. Garlitski United States	11	613 1.3×	125 1.8×	45 0.8×	76 2.0×	24 1.3×	29	685
Philippe Ricard Monaco	10	620 1.3×	24 0.3×	40 0.7×	34 0.9×	10 0.5×	19	653
Sayaka Kurokawa Japan	14	671 1.4×	28 0.4×	34 0.6×	58 1.5×	16 0.8×	69	725

Countries citing papers authored by James Glancy

Since Specialization

Citations

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

Fields of papers citing papers by James Glancy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Glancy

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

All Works

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11 of 11 papers shown

Glancy, James, et al.. (2021). Improving DVLA advice provided to the patients with acute coronary syndrome upon discharge. Future Healthcare Journal. 8(3). e629–e630.

Glancy, James, et al.. (2021). SARS-CoV-2 myocarditis: what physicians need to know. BMJ evidence-based medicine. 27(2). 77–78. 2 indexed citations

Glancy, James, et al.. (2021). Variations in surgical technique for permanent pacemaker implantation in West Midlands.. PubMed. 28(1). 6–6. 1 indexed citations

Pitcher, David, Jasmeet Soar, Karen Hogg, et al.. (2016). Cardiovascular implanted electronic devices in people towards the end of life, during cardiopulmonary resuscitation and after death: guidance from the Resuscitation Council (UK), British Cardiovascular Society and National Council for Palliative Care. Heart. 102(Suppl 7). A1–A17. 34 indexed citations

Weston, P.J., James Glancy, Paul G. McNally, H. Thurston, & D P de Bono. (1997). Can abnormalities of ventricular repolarisation identify insulin dependent diabetic patients at risk of sudden cardiac death?. Heart. 78(1). 56–60. 13 indexed citations

Glancy, James, Clifford J. Garratt, & David P. de Bono. (1996). Dynamics of QT dispersion during myocardial infarction and ischaemia. International Journal of Cardiology. 57(1). 55–60. 47 indexed citations

Glancy, James, et al.. (1996). Reproducibility and automatic measurement of QT dispersion. European Heart Journal. 17(7). 1035–1039. 108 indexed citations

Glancy, James, Chris Garratt, D P de Bono, & K L Woods. (1995). QT dispersion and mortality after myocardial infarction. The Lancet. 345(8955). 945–948. 269 indexed citations

Glancy, James, Clifford J. Garratt, K L Woods, & David P. de Bono. (1995). Three‐Lead Measurement of QTc Dispersion. Journal of Cardiovascular Electrophysiology. 6(11). 987–992. 20 indexed citations

10.

Glancy, James, K L Woods, & David P. de Bono. (1995). 901-9 QT Dispersion and Prognosis After Myocardial Infarction. Journal of the American College of Cardiology. 25(2). 7A–7A. 1 indexed citations

11.

Glancy, James, Chris Garratt, KL Woods, & D P de Bono. (1995). Use of lead adjustment formulas for QT dispersion after myocardial infarction.. Heart. 74(6). 676–679. 14 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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