Kim Terp

1.4k citations
32 papers · 1.0k · h-index 16

Impact in

Papers in

Kim Terp

31 papers receiving 985 citations

Peers

Kim Terp
Comparison fields: 5 of 48
  • Cardiology and Cardiovascular Medicine 886
  • Epidemiology 612
  • Pulmonary and Respiratory Medicine 332
  • Radiology, Nuclear Medicine and Imaging 194
  • Surgery 303
Replace Vladimir Jelnin with:
Vladimir Jelnin United States
Jayant Nath United States
Erin A. Fender United States
Francisco J. Puga United States
Vladir Maranhão United States
Arnaud Van Linden Germany
Kothandam Sivakumar India
Shuji Fukunaga Japan
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Citations per field
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Citations per year

Countries citing papers authored by Kim Terp

Since Specialization
Citations

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

Fields of papers citing papers by Kim Terp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016247
2 2012158
3 199689
4 201659
5 201353
6 199645
7 201545
8 201538
9 201637
10 201736
11 201331
12 201828
13 200920
14 201319
15 201717
16 199715
17 20149
18
Hemodynamic evaluation of a new bileaflet valve prosthesis: an acute animal experimental study.
19969
19 19988
20 20187

About Kim Terp

Kim Terp is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (20 papers), Infective Endocarditis Diagnosis and Management (14 papers), Aortic Disease and Treatment Approaches (8 papers), Cardiac Imaging and Diagnostics (6 papers), Cardiovascular Function and Risk Factors (5 papers), Hemodynamic Monitoring and Therapy (3 papers), Mechanical Circulatory Support Devices (3 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (886 citations), Epidemiology (612 citations), Pulmonary and Respiratory Medicine (332 citations), Radiology, Nuclear Medicine and Imaging (194 citations) and Surgery (303 citations). Kim Terp has collaborated with scholars based in Denmark, United Kingdom and Canada. Frequent co-authors include Henning Andersen, Lars Romer Krusell, Mariann Tang, Kaj Erik Klaaborg, Steen Hvitfeldt Poulsen, Evald Høj Christiansen, Leif Thuesen, Bjarne Linde Nørgaard, Kaare Jensen and Vibeke E. Hjortdal. Their work appears in journals such as EuroIntervention, The Annals of Thoracic Surgery, Interactive Cardiovascular and Thoracic Surgery, Journal of the American Society of Echocardiography and Heart and Vessels.

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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