Sven Chr. Enger

948 citations
17 papers · 750 indexed · h-index 13

Sven Chr. Enger

17 papers receiving 636 citations

Peers

Sven Chr. Enger
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 329
  • Cardiology and Cardiovascular Medicine 256
  • Complementary and alternative medicine 57
  • Physiology 156
  • Cell Biology 93
Replace H. Hilden with:
H. Hilden Finland
LarsA. Carlson Sweden
Ted A. Tobey United States
Harrison Simpson Australia
H. Yki-J�rvinen Finland
S Saltissi United Kingdom
T Hopferwieser Austria
Jacek Majda Poland
A.J.H.H.M. van Oostrom Netherlands
Neda Pecori Italy
Sven Chr. Enger relative to H. Hilden Finland H. Hilden's profile →
Citations per field
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H. Hilden · 1×
Citations per year

Countries citing papers authored by Sven Chr. Enger

Since Specialization
Citations

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

Fields of papers citing papers by Sven Chr. Enger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sven Chr. Enger. 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 Sven Chr. Enger. The network helps show where Sven Chr. Enger may publish in the future.

Co-authorship network

The 20 scholars most cited alongside Sven Chr. Enger, 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 Sven Chr. Enger Line = papers co-authored together Sven Chr. Enger links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 198215
2 1981132
3 198046
4
High density lipoprotein cholesterol and myocardial infarction or sudden coronary death: a prospective case-control study in middle-aged men of the Oslo study.
197986
5 197914
6 197961
7 19797
8 19797
9 1978114
10 197838
11 197814
12 1977163
13 19779
14 197712
15 197513
16 19722
17 197017

About Sven Chr. Enger

Sven Chr. Enger is a scholar working on Endocrinology, Diabetes and Metabolism, Rehabilitation and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 750 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Cardiovascular Disease and Adiposity (3 papers), Muscle metabolism and nutrition (3 papers), Cardiovascular Function and Risk Factors (2 papers), Acute Myocardial Infarction Research (2 papers), Exercise and Physiological Responses (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (329 citations), Cardiology and Cardiovascular Medicine (256 citations) and Complementary and alternative medicine (57 citations). Sven Chr. Enger has collaborated with scholars based in Norway, India and France. Frequent co-authors include Jan Erikssen, Ingvar Hjermann, Paul Leren, Anders Helgeland, Ingar Holme, Lars Aage Solberg, Per G. Lund‐Larsen, Jack P. Strong, S Ritland and H. E. Refsum. Their work appears in journals such as American Journal of Epidemiology, The American Journal of Medicine and Journal of Internal Medicine.

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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