Dennis Sandeman

2.1k total citations · 1 hit paper
9 papers, 528 citations indexed

About

Dennis Sandeman is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Dennis Sandeman has authored 9 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Dennis Sandeman's work include Acute Myocardial Infarction Research (6 papers), Cardiac Imaging and Diagnostics (3 papers) and Coronary Interventions and Diagnostics (3 papers). Dennis Sandeman is often cited by papers focused on Acute Myocardial Infarction Research (6 papers), Cardiac Imaging and Diagnostics (3 papers) and Coronary Interventions and Diagnostics (3 papers). Dennis Sandeman collaborates with scholars based in United Kingdom, United States and New Zealand. Dennis Sandeman's co-authors include David E. Newby, Amy V. Ferry, Kuan Ken Lee, Atul Anand, Anoop Shah, Andrew R. Chapman, Nicholas L. Mills, Fiona E. Strachan, Alasdair Gray and Jonathan M. Bird and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Dennis Sandeman

8 papers receiving 518 citations

Hit Papers

High-sensitivity cardiac troponin I at presentation in pa... 2015 2026 2018 2022 2015 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
Dennis Sandeman United Kingdom 4 433 251 140 68 42 9 528
Colette Seifer Canada 16 517 1.2× 59 0.2× 278 2.0× 89 1.3× 11 0.3× 56 701
Michael G. Licina United States 11 173 0.4× 41 0.2× 177 1.3× 13 0.2× 30 0.7× 23 357
Grzegorz Karpiński Poland 14 393 0.9× 106 0.4× 112 0.8× 9 0.1× 19 0.5× 56 579
Jayaprakash Shenthar India 16 764 1.8× 78 0.3× 150 1.1× 9 0.1× 23 0.5× 70 820
Osnat Gurevitz Israel 18 699 1.6× 41 0.2× 122 0.9× 8 0.1× 13 0.3× 53 802
Antonio Rossillo Italy 23 2.9k 6.7× 126 0.5× 201 1.4× 35 0.5× 115 2.7× 40 3.0k
P Djiane France 14 747 1.7× 63 0.3× 195 1.4× 9 0.1× 21 0.5× 82 862
Patrizio Pascale Switzerland 19 924 2.1× 123 0.5× 92 0.7× 12 0.2× 8 0.2× 95 1.0k
Kurt S. Hoffmayer United States 19 992 2.3× 133 0.5× 123 0.9× 8 0.1× 14 0.3× 87 1.1k

Countries citing papers authored by Dennis Sandeman

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Sandeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Sandeman

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

All Works

9 of 9 papers shown
1.
Chapman, Andrew R., Philip D Adamson, Anoop Shah, et al.. (2019). 144 High-sensitivity cardiac troponin and the fourth universal definition of myocardial infarction. A118.2–A118. 2 indexed citations
2.
Chapman, Andrew R., Takeshi Fujisawa, Kuan Ken Lee, et al.. (2018). Novel high-sensitivity cardiac troponin I assay in patients with suspected acute coronary syndrome. Heart. 105(8). heartjnl–2018. 51 indexed citations
3.
Chapman, Andrew R., Jack Andrews, Kuan Ken Lee, et al.. (2018). High-Sensitivity Cardiac Troponin I and Clinical Risk Scores in Patients With Suspected Acute Coronary Syndrome. Circulation. 138(16). 1654–1665. 80 indexed citations
4.
Chapman, Andrew R., Anoop Shah, Atul Anand, et al.. (2017). HIGH-SENSITIVITY CARDIAC TROPONIN AND THE CLASSIFICATION OF MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 69(11). 246–246. 1 indexed citations
5.
Anand, Atul, Andrew R. Chapman, Anoop Shah, et al.. (2017). AGE AND THE EFFECTIVENESS OF RISK STRATIFICATION AND DIAGNOSTIC THRESHOLDS FOR MYOCARDIAL INFARCTION WITH HIGH-SENSITIVITY CARDIAC TROPONIN. Journal of the American College of Cardiology. 69(11). 239–239. 1 indexed citations
6.
Shah, Anoop, Atul Anand, Yader Sandoval, et al.. (2016). High-sensitivity cardiac troponin I at presentation in patients with suspected acute coronary syndrome.
7.
Shah, Anoop, Atul Anand, Yader Sandoval, et al.. (2015). High-sensitivity cardiac troponin I at presentation in patients with suspected acute coronary syndrome: a cohort study. The Lancet. 386(10012). 2481–2488. 316 indexed citations breakdown →
8.
Bird, Jonathan M., et al.. (1997). Sudden Unexplained Death in Epilepsy: An Intracranially Monitored Case. Epilepsia. 38(s11). 76 indexed citations
9.
Sandeman, Dennis, et al.. (1995). Sudden unexplained death explained?. Electroencephalography and Clinical Neurophysiology. 95(4). P98–P98. 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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