Ulf E. G. Ekelund

3.7k citations
141 papers · 2.9k · 1 hit paper · h-index 26

Impact in

Papers in

Ulf E. G. Ekelund

130 papers receiving 2.8k citations

Ulf E. G. Ekelund's Hit Papers

Application of High-Sensitivity Troponin in Suspected Myocardial Infarction 2019 · 273 citations
2730+2+4Years since publication50100150200250

Peers

Ulf E. G. Ekelund
Comparison fields: 5 of 122
  • Cardiology and Cardiovascular Medicine 1.4k
  • Emergency Medicine 272
  • Health Information Management 185
  • Physiology 400
  • Complementary and alternative medicine 114
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Citations per year

Countries citing papers authored by Ulf E. G. Ekelund

Since Specialization
Citations

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

Fields of papers citing papers by Ulf E. G. Ekelund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulf E. G. Ekelund. 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 Ulf E. G. Ekelund. The network helps show where Ulf E. G. Ekelund may publish in the future.

Co-authors

The 25 scholars most cited alongside Ulf E. G. Ekelund, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ulf E. G. Ekelund Line = papers co-authored together Ulf E. G. Ekelund links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Application of High-Sensitivity Troponin in Suspected Myocardial Infarction
Hit paper breakdown →
2019273
2 2017260
3 1999206
4 2006112
5 1998111
6 2000108
7 201698
8 200694
9 199068
10 200064
11 199561
12 201353
13 200246
14 199244
15 201039
16 200637
17 201536
18 200834
19 201634
20 202133

About Ulf E. G. Ekelund

Ulf E. G. Ekelund is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine, Health Information Management, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 141 papers that have together received 2.9k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (51 papers), Emergency and Acute Care Studies (25 papers), Nitric Oxide and Endothelin Effects (14 papers), Artificial Intelligence in Healthcare (11 papers), ECG Monitoring and Analysis (10 papers), Cardiac Imaging and Diagnostics (8 papers), Cardiovascular Function and Risk Factors (7 papers) and Machine Learning in Healthcare (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Emergency Medicine (272 citations), Health Information Management (185 citations), Physiology (400 citations) and Complementary and alternative medicine (114 citations). Ulf E. G. Ekelund has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include Jakob Lundager Forberg, Stefan Mellander, Jonas Björk, Lars Edenbrandt, Joshua M. Hare, Mattias Ohlsson, Ardavan Khoshnood, David A. Kass, Arash Mokhtari and Hideaki Senzaki. Their work appears in journals such as BMC Emergency Medicine, Scandinavian Journal of Trauma Resuscitation and Emergency Medicine, Scandinavian Cardiovascular Journal, European Journal of Emergency Medicine and PLoS ONE.

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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