Finn Heath

426 total citations
20 papers, 155 citations indexed

About

Finn Heath is a scholar working on Surgery, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Finn Heath has authored 20 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 8 papers in Immunology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Finn Heath's work include Lipoproteins and Cardiovascular Health (10 papers), Atherosclerosis and Cardiovascular Diseases (8 papers) and Cancer, Lipids, and Metabolism (4 papers). Finn Heath is often cited by papers focused on Lipoproteins and Cardiovascular Health (10 papers), Atherosclerosis and Cardiovascular Diseases (8 papers) and Cancer, Lipids, and Metabolism (4 papers). Finn Heath collaborates with scholars based in Denmark, Hungary and Brazil. Finn Heath's co-authors include Henrik Kjærulf Jensen, Ole Færgeman, Bent Raungaard, Sam Riahi, Jens Cosedis Nielsen, H. Mølgaard, Jesper Heile Christensen, Edward E. Schmidt, Lars Bolund and Brage Storstein Andresen and has published in prestigious journals such as Clinical Chemistry, Atherosclerosis and Human Mutation.

In The Last Decade

Finn Heath

18 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Finn Heath Denmark 9 85 49 42 23 21 20 155
Kandice Marchant United States 7 26 0.3× 53 1.1× 63 1.5× 35 1.5× 11 0.5× 10 250
C. S. Paththinige Sri Lanka 7 53 0.6× 22 0.4× 42 1.0× 22 1.0× 10 0.5× 12 198
Eric Feldsott United States 7 63 0.7× 84 1.7× 99 2.4× 42 1.8× 63 3.0× 9 261
Gianfranco Aprigliano Italy 6 72 0.8× 34 0.7× 30 0.7× 74 3.2× 8 0.4× 10 217
Noelia Pérez Spain 10 94 1.1× 11 0.2× 31 0.7× 14 0.6× 39 1.9× 18 232
Seung-Min Lee South Korea 3 36 0.4× 129 2.6× 50 1.2× 11 0.5× 6 0.3× 9 217
Rima Mustafa United Kingdom 6 26 0.3× 44 0.9× 55 1.3× 13 0.6× 6 0.3× 13 156
N. Bellili France 9 98 1.2× 30 0.6× 104 2.5× 14 0.6× 16 0.8× 11 290
C. Y. Yang China 8 29 0.3× 22 0.4× 44 1.0× 26 1.1× 5 0.2× 15 124
Ayumi Ogawa Japan 8 52 0.6× 29 0.6× 57 1.4× 9 0.4× 33 1.6× 27 250

Countries citing papers authored by Finn Heath

Since Specialization
Citations

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

Fields of papers citing papers by Finn Heath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Finn Heath

This figure shows the co-authorship network connecting the top 25 collaborators of Finn Heath. A scholar is included among the top collaborators of Finn Heath 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 Finn Heath. Finn Heath 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
1.
Larsen, Jacob Moesgaard, Finn Heath, Sam Riahi, et al.. (2018). Single and dual coil shock efficacy and predictors of shock failure in patients with modern implantable cardioverter defibrillators—a single-center paired randomized study. Journal of Interventional Cardiac Electrophysiology. 54(1). 65–72.
2.
Hjortshøj, Søren Pihlkjær, Finn Heath, Morten Kristian Haugland, et al.. (2013). Long Pacing Pulses Reduce Phrenic Nerve Stimulation in Left Ventricular Pacing. Journal of Cardiovascular Electrophysiology. 25(5). 485–490. 8 indexed citations
3.
Johansen, Jens Brock, Per Arnsbo, Peter Mortensen, et al.. (2010). Performance of the Medtronic Sprint Fidelis® ICD lead (6930-31 and 6948-49) in 901 consecutive Danish patients. Heart Rhythm. 7(5). 2 indexed citations
4.
Prescott, Eva, et al.. (2006). [Sudden cardiac death among young athletes--should we screen?].. PubMed. 168(51). 4537–9. 3 indexed citations
5.
Riahi, Sam, Erik Berg Schmidt, Jeppe Hagstrup Christensen, et al.. (2005). Statins, Ventricular Arrhythmias and Heart Rate Variability in Patients with Implantable Cardioverter Defibrillators and Coronary Heart Disease. Cardiology. 104(4). 210–214. 14 indexed citations
6.
Christensen, Jesper Heile, Sam Riahi, Edward E. Schmidt, et al.. (2005). n-3 Fatty acids and ventricular arrhythmias in patients with ischaemic heart disease and implantable cardioverter defibrillators. EP Europace. 7(4). 338–344. 30 indexed citations
7.
8.
Raungaard, Bent, et al.. (2000). Flow Cytometric Assessment of LDL Ligand Function for Detection of Heterozygous Familial Defective Apolipoprotein B-100. Clinical Chemistry. 46(2). 224–233. 3 indexed citations
9.
10.
Raungaard, Bent, et al.. (1998). Flow cytometry with a monoclonal antibody to the low density lipoprotein receptor compared with gene mutation detection in diagnosis of heterozygous familial hypercholesterolemia.. PubMed. 44(5). 966–72. 11 indexed citations
11.
12.
Jensen, Henrik Kjærulf, Thomas Glasdam Jensen, Ole Færgeman, et al.. (1997). Two mutations in the same low-density lipoprotein receptor allele act in synergy to reduce receptor function in heterozygous familial hypercholesterolemia. Human Mutation. 9(5). 437–444. 24 indexed citations
13.
Jensen, Henrik Kjærulf, Thomas Glasdam Jensen, Ole Færgeman, et al.. (1997). Two mutations in the same low‐density lipoprotein receptor allele act in synergy to reduce receptor function in heterozygous familial hypercholesterolemia. Human Mutation. 9(5). 437–444. 3 indexed citations
14.
Jensen, Henrik Kjærulf, L G Jensen, Finn Heath, et al.. (1996). Phenotypic characterization of a patient homozygous for the D558N LDL receptor gene mutation. Clinical Genetics. 50(5). 388–392. 1 indexed citations
15.
Jensen, Thøger Gorm, Brage Storstein Andresen, Henrik Kjærulf Jensen, et al.. (1996). Rapid characterization of disease-causing mutations in the low density lipoprotein receptor (LDL-R) gene by overexpression in COS cells.. PubMed. 34 Suppl 3. 9–11. 6 indexed citations
16.
Jensen, Henrik Kjærulf, Finn Heath, Hans Eiberg, et al.. (1996). Allele-specific measurement of low-density lipoprotein receptor transcript levels. Human Mutation. 8(2). 126–133. 10 indexed citations
17.
Jensen, Henrik Kjærulf, Finn Heath, Hans Eiberg, et al.. (1996). Allele‐specific measurement of low‐density lipoprotein receptor transcript levels. Human Mutation. 8(2). 126–133.
18.
Heath, Finn, Søren K. Moestrup, Shona Pedersen, et al.. (1996). A flow cytometric competition technique for measuring interaction of LDL with cellular LDL-receptors applied to patients with mutant (Arg3500-->Gln) apolipoprotein B.. PubMed. 34 Suppl 3. 21–4. 2 indexed citations
19.
Jensen, L G, Henrik Kjærulf Jensen, Finn Heath, et al.. (1995). Allele-specific quantitation of low density lipoprotein receptor gene transcripts. Atherosclerosis. 115. S9–S9. 1 indexed citations
20.
Tighe, D., et al.. (1993). Dopexamine hydrochloride maintains portal blood flow and attenuates hepatic ultrastructural changes in a porcine peritonitis model of multiple system organ failure.. PubMed. 39(3). 199–206. 12 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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