Eli-Anne Skaug

739 total citations
9 papers, 593 citations indexed

About

Eli-Anne Skaug is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Complementary and alternative medicine. According to data from OpenAlex, Eli-Anne Skaug has authored 9 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Complementary and alternative medicine. Recurrent topics in Eli-Anne Skaug's work include Cardiovascular Health and Disease Prevention (4 papers), Blood Pressure and Hypertension Studies (4 papers) and Cardiovascular and exercise physiology (3 papers). Eli-Anne Skaug is often cited by papers focused on Cardiovascular Health and Disease Prevention (4 papers), Blood Pressure and Hypertension Studies (4 papers) and Cardiovascular and exercise physiology (3 papers). Eli-Anne Skaug collaborates with scholars based in Norway, Sweden and Australia. Eli-Anne Skaug's co-authors include Ulrik Wisløff, Stian Thoresen Aspenes, Øyvind Ellingsen, Lars J. Vatten, Gro F. Bertheussen, Tom Ivar Lund Nilsen, Arnt Erik Tjønna, Tomas Stølen, Stig A. Slørdahl and Dorthe Stensvold and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Eli-Anne Skaug

9 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eli-Anne Skaug Norway	8	269	256	215	62	59	9	593
Paolo Fanari Italy	13	136 0.5×	213 0.8×	273 1.3×	81 1.3×	108 1.8×	32	524
Bert Bond United Kingdom	14	238 0.9×	286 1.1×	191 0.9×	130 2.1×	32 0.5×	55	583
Katrin A. Dias United States	16	360 1.3×	215 0.8×	161 0.7×	32 0.5×	35 0.6×	34	602
K. P. Davy United States	14	372 1.4×	328 1.3×	243 1.1×	116 1.9×	40 0.7×	26	727
Dharini M. Bhammar United States	15	251 0.9×	334 1.3×	290 1.3×	108 1.7×	109 1.8×	41	612
Antônio Henrique Germano-Soares Brazil	13	229 0.9×	144 0.6×	135 0.6×	21 0.3×	59 1.0×	53	521
Nórton Luís Oliveira Portugal	15	283 1.1×	236 0.9×	172 0.8×	97 1.6×	21 0.4×	32	652
Nantinee Nualnim United States	12	330 1.2×	145 0.6×	146 0.7×	27 0.4×	57 1.0×	20	536
Thibaut Guiraud France	18	845 3.1×	695 2.7×	229 1.1×	99 1.6×	50 0.8×	45	1.2k
Brian C. Leutholtz United States	8	204 0.8×	300 1.2×	246 1.1×	153 2.5×	35 0.6×	13	619

Countries citing papers authored by Eli-Anne Skaug

Since Specialization

Citations

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

Fields of papers citing papers by Eli-Anne Skaug

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli-Anne Skaug. 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 Eli-Anne Skaug. The network helps show where Eli-Anne Skaug may publish in the future.

Co-authorship network of co-authors of Eli-Anne Skaug

This figure shows the co-authorship network connecting the top 25 collaborators of Eli-Anne Skaug. A scholar is included among the top collaborators of Eli-Anne Skaug 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 Eli-Anne Skaug. Eli-Anne Skaug is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Madssen, Erik, Eli-Anne Skaug, Ulrik Wisløff, Øyvind Ellingsen, & Vibeke Videm. (2019). Inflammation Is Strongly Associated With Cardiorespiratory Fitness, Sex, BMI, and the Metabolic Syndrome in a Self-reported Healthy Population: HUNT3 Fitness Study. Mayo Clinic Proceedings. 94(5). 803–810. 23 indexed citations

Skaug, Eli-Anne, Ulrik Wisløff, Øyvind Ellingsen, et al.. (2016). Migraine and endothelial function: The HUNT3 Study. Cephalalgia. 36(14). 1341–1349. 15 indexed citations

Skaug, Eli-Anne, Bjarne M. Nes, Stian Thoresen Aspenes, & Øyvind Ellingsen. (2016). Non-Smoking Tobacco Affects Endothelial Function in Healthy Men in One of the Largest Health Studies Ever Performed; The Nord-Trøndelag Health Study in Norway; HUNT3. PLoS ONE. 11(8). e0160205–e0160205. 11 indexed citations

Skaug, Eli-Anne, et al.. (2015). Få studenter stryker i praksis. Sykepleien Forskning. 60 62–60 62. 1 indexed citations

Skaug, Eli-Anne, Erik Madssen, Stian Thoresen Aspenes, Ulrik Wisløff, & Øyvind Ellingsen. (2014). Cardiovascular Risk Factors Have Larger Impact on Endothelial Function in Self-Reported Healthy Women than Men in the HUNT3 Fitness Study. PLoS ONE. 9(7). e101371–e101371. 17 indexed citations

Strand, Linn Beate, Lars Erik Laugsand, Eli-Anne Skaug, et al.. (2012). Insomnia and Endothelial Function – The HUNT 3 Fitness Study. PLoS ONE. 7(12). e50933–e50933. 32 indexed citations

Skaug, Eli-Anne, Stian Thoresen Aspenes, Line Oldervoll, et al.. (2012). Age and gender differences of endothelial function in 4739 healthy adults: the HUNT3 Fitness Study. European Journal of Preventive Cardiology. 20(4). 531–540. 95 indexed citations

Aspenes, Stian Thoresen, Tom Ivar Lund Nilsen, Eli-Anne Skaug, et al.. (2011). Peak Oxygen Uptake and Cardiovascular Risk Factors in 4631 Healthy Women and Men. Medicine & Science in Sports & Exercise. 43(8). 1465–1473. 224 indexed citations

Stensvold, Dorthe, Arnt Erik Tjønna, Eli-Anne Skaug, et al.. (2010). Strength training versus aerobic interval training to modify risk factors of metabolic syndrome. Journal of Applied Physiology. 108(4). 804–810. 175 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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