Tor Biering‐Sørensen

13.4k citations
414 papers · 5.7k indexed · 1 hit paper · h-index 37

Tor Biering‐Sørensen

365 papers receiving 5.7k citations

Hit Papers

Global Longitudinal Strain by Echocardiography Predicts L...288201720262020202350100150200250

Peers

Tor Biering‐Sørensen
Comparison fields: 5 of 137
  • Cardiology and Cardiovascular Medicine 4.4k
  • Radiology, Nuclear Medicine and Imaging 1.9k
  • Critical Care and Intensive Care Medicine 142
  • Health Informatics 34
  • Complementary and alternative medicine 170
Replace Matteo Cameli with:
Matteo Cameli Italy
Nancy K. Sweitzer United States
Antonello D’Andrea Italy
Gerry P McCann United Kingdom
Giovanni Di Salvo Italy
Richard A. Grimm United States
Peter Søgaard Denmark
Christopher R. deFilippi United States
Natale Daniele Brunetti Italy
Stefan Osswald Switzerland
Tor Biering‐Sørensen relative to Matteo Cameli Italy Matteo Cameli's profile →
Citations per field
00.5×2.8×
Matteo Cameli · 1×
Citations per year

Countries citing papers authored by Tor Biering‐Sørensen

Since Specialization
Citations

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

Fields of papers citing papers by Tor Biering‐Sørensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tor Biering‐Sørensen. 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 Tor Biering‐Sørensen. The network helps show where Tor Biering‐Sørensen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tor Biering‐Sørensen, 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 Tor Biering‐Sørensen Line = papers co-authored together Tor Biering‐Sørensen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20243
4 20248
5 20242
6 20240
7 20243
8 20241
9 20239
10 20231
11 20232
12 20232
13 20233
14 20239
15 20213
16 20215
17 202110
18 2019105
19 201912
20 20199

About Tor Biering‐Sørensen

Tor Biering‐Sørensen is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 414 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (218 papers), Cardiac Imaging and Diagnostics (140 papers), Atrial Fibrillation Management and Outcomes (49 papers), Heart Failure Treatment and Management (36 papers), Cardiovascular Health and Disease Prevention (35 papers), Influenza Virus Research Studies (34 papers), Cardiac Valve Diseases and Treatments (30 papers) and Cardiac electrophysiology and arrhythmias (27 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.4k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Critical Care and Intensive Care Medicine (142 citations). Tor Biering‐Sørensen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Rasmus Møgelvang, Jan Skov Jensen, Flemming Javier Olsen, Peter Godsk Jørgensen, Scott D. Solomon, Thomas Fritz‐Hansen, Daniel Modin, Jens‐Ulrik Stæhr Jensen, Morten Sengeløv and Gunnar Gislason.

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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2026