Jennifer Adgey

2.4k total citations
53 papers, 1.6k citations indexed

About

Jennifer Adgey is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine and Surgery. According to data from OpenAlex, Jennifer Adgey has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cardiology and Cardiovascular Medicine, 17 papers in Emergency Medicine and 16 papers in Surgery. Recurrent topics in Jennifer Adgey's work include Acute Myocardial Infarction Research (23 papers), Cardiac Arrest and Resuscitation (17 papers) and Cardiac electrophysiology and arrhythmias (16 papers). Jennifer Adgey is often cited by papers focused on Acute Myocardial Infarction Research (23 papers), Cardiac Arrest and Resuscitation (17 papers) and Cardiac electrophysiology and arrhythmias (16 papers). Jennifer Adgey collaborates with scholars based in United Kingdom, France and Ireland. Jennifer Adgey's co-authors include Alec Vahanian, Christian W. Hamm, Christopher Heeschen, Britta Goldmann, Carlos Macaya Miguel, Wolfgang Rutsch, Juergen Berger, Maarten L. Simoons, Colum Owens and Bernie Smith and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Jennifer Adgey

48 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Adgey United Kingdom 15 1.2k 491 467 380 173 53 1.6k
Beatrice Drexler Switzerland 21 1.3k 1.1× 775 1.6× 422 0.9× 115 0.3× 111 0.6× 58 1.9k
María Rubini Giménez Switzerland 17 1.2k 1.0× 674 1.4× 380 0.8× 127 0.3× 89 0.5× 88 1.4k
Margit Müller-Bardorff Germany 21 1.5k 1.3× 596 1.2× 429 0.9× 89 0.2× 334 1.9× 38 1.8k
S. Hartwiger Switzerland 6 1.1k 0.9× 571 1.2× 309 0.7× 75 0.2× 93 0.5× 7 1.3k
Avital Porter Israel 23 1.4k 1.2× 467 1.0× 560 1.2× 63 0.2× 99 0.6× 65 1.6k
Michael Megaly United States 19 1.0k 0.9× 319 0.6× 823 1.8× 118 0.3× 155 0.9× 148 1.5k
Chris de Zwaan Netherlands 14 1.5k 1.3× 966 2.0× 523 1.1× 128 0.3× 73 0.4× 23 1.7k
Jacqueline E. Tamis‐Holland United States 16 1.2k 1.0× 548 1.1× 732 1.6× 175 0.5× 24 0.1× 55 1.5k
Franz-Joseph Neumann Germany 10 1.0k 0.9× 566 1.2× 669 1.4× 57 0.1× 138 0.8× 21 1.3k
Norma Keller United States 12 621 0.5× 199 0.4× 395 0.8× 65 0.2× 88 0.5× 32 1.2k

Countries citing papers authored by Jennifer Adgey

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Adgey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Adgey

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Adgey. A scholar is included among the top collaborators of Jennifer Adgey 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 Jennifer Adgey. Jennifer Adgey 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
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Harvey, Adam, et al.. (2020). Real-world insight into public access defibrillator use over five years. Open Heart. 7(1). e001251–e001251. 4 indexed citations
3.
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Huber, Kurt, Christian W. Hamm, Arnoud W.J. van ‘t Hof, et al.. (2014). IMPACT OF P2Y12 INHIBITOR CHOICE ON 30-DAY OUTCOMES AFTER PRIMARY PCI: AN ANALYSIS FROM THE EUROMAX TRIAL. Journal of the American College of Cardiology. 63(12). A100–A100. 1 indexed citations
5.
Howe, Andrew, et al.. (2013). A support vector machine for predicting defibrillation outcomes from waveform metrics. Resuscitation. 85(3). 343–349. 24 indexed citations
6.
Werf, Frans Van de, Patrick Goldstein, Jennifer Adgey, et al.. (2013). Incidence and Implications of Aborted Myocardial Infarction in STREAM. Circulation. 128(22). 1 indexed citations
7.
Harbinson, Mark, et al.. (2010). Myocardial wall motion and thickening assessment in early gated SPECT images of acute coronary syndrome patients likely to have inferolateral perfusion defects. International journal of cardiac imaging. 26(8). 881–891. 2 indexed citations
8.
Shannon, Joanne, et al.. (2010). The Inverse Problem Utilizing the Boundary Element Method for a Nonstandard Female Torso. IEEE Transactions on Biomedical Engineering. 58(4). 876–883. 9 indexed citations
9.
Owens, Colum, Simon Walsh, Bernie Smith, et al.. (2009). In-hospital percutaneous coronary intervention improves in-hospital survival in patients with acute inferior myocardial infarction particularly with right ventricular involvement.. PubMed. 21(2). 40–4. 3 indexed citations
10.
Hamilton, Andrew J., et al.. (2008). Risk stratification of chest pain patients in the emergency department by a nurse utilizing a point of care protocol. European Journal of Emergency Medicine. 15(1). 9–15. 24 indexed citations
11.
Owens, Colum, et al.. (2008). Comparison of Value of Leads from Body Surface Maps to 12-Lead Electrocardiogram for Diagnosis of Acute Myocardial Infarction. The American Journal of Cardiology. 102(3). 257–265. 28 indexed citations
12.
McCann, Conor, Ben Glover, Ian Menown, et al.. (2008). Prognostic Value of a Multimarker Approach for Patients Presenting to Hospital With Acute Chest Pain. The American Journal of Cardiology. 103(1). 22–28. 70 indexed citations
13.
Shannon, Joanne, et al.. (2008). An early phase of slow myocardial activation may be necessary in order to benefit from cardiac resynchronization therapy. Journal of Electrocardiology. 41(6). 531–535. 2 indexed citations
14.
McCann, Conor, Ben Glover, Ian Menown, et al.. (2008). Novel biomarkers in early diagnosis of acute myocardial infarction compared with cardiac troponin T. European Heart Journal. 29(23). 2843–2850. 173 indexed citations
15.
Muir, Alison, et al.. (2006). ST segment elevation in lead aVR during exercise testing is associated with LAD stenosis. European Journal of Nuclear Medicine and Molecular Imaging. 34(3). 338–345. 11 indexed citations
16.
Walsh, Simon, et al.. (2006). Clopidogrel in the treatment of ischaemic heart disease. Expert Opinion on Pharmacotherapy. 7(9). 1109–1120. 1 indexed citations
17.
Owens, Colum, et al.. (2005). Improved detection of acute myocardial infarction using a diagnostic algorithm based on calculated epicardial potentials. International Journal of Cardiology. 111(2). 292–301. 13 indexed citations
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Armstrong, Paul W., Peter Molhoek, Amadeo Betriu, et al.. (2002). Collaborative Angiographic Patency Trial of Recombinant Staphylokinase (CAPTORS II). Journal of the American College of Cardiology. 39. 281–281. 5 indexed citations
20.
Tebbe, Ulrich, Rolf Michels, Jennifer Adgey, et al.. (1998). Randomized, Double-Blind Study Comparing Saruplase With Streptokinase Therapy in Acute Myocardial Infarction: The COMPASS Equivalence Trial fn1fn1This study was supported by Grünenthal GmbH, the manufacturer of saruplase.. Journal of the American College of Cardiology. 31(3). 487–493. 68 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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