Jørgen Jeppesen

11.2k total citations · 1 hit paper
110 papers, 5.4k citations indexed

About

Jørgen Jeppesen is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Jørgen Jeppesen has authored 110 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Cardiology and Cardiovascular Medicine, 26 papers in Endocrinology, Diabetes and Metabolism and 21 papers in Epidemiology. Recurrent topics in Jørgen Jeppesen's work include Blood Pressure and Hypertension Studies (23 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers). Jørgen Jeppesen is often cited by papers focused on Blood Pressure and Hypertension Studies (23 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers). Jørgen Jeppesen collaborates with scholars based in Denmark, United States and Sweden. Jørgen Jeppesen's co-authors include Tine W. Hansen, Christian Torp‐Pedersen, Hans Ibsen, Susanne Rasmussen, Jan A. Staessen, Lutgarde Thijs, Sten Madsbad, Jens J. Holst, Gerald M. Reaven and Cathrine Ørskov and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Jørgen Jeppesen

106 papers receiving 5.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prognostic Value of Aortic Pulse Wave Velocity as Index of Arterial Stiffness in the General Population

2006 1.2k citations Tine W. Hansen, Jan A. Staessen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jørgen Jeppesen Denmark	34	3.1k	1.2k	852	802	753	110	5.4k
Rachel H. Mackey United States	37	1.9k 0.6×	1.3k 1.0×	987 1.2×	720 0.9×	665 0.9×	109	4.8k
Michelle J. Keyes United States	33	4.0k 1.3×	1.2k 1.0×	1.4k 1.7×	1.0k 1.3×	789 1.0×	57	6.9k
Tine W. Hansen Denmark	43	5.0k 1.6×	1.6k 1.3×	1.5k 1.7×	820 1.0×	652 0.9×	193	8.1k
Yasufumi Doi Japan	39	1.3k 0.4×	1.0k 0.8×	865 1.0×	595 0.7×	1.1k 1.4×	73	4.5k
Katsuhiko Kohara Japan	41	2.3k 0.7×	964 0.8×	818 1.0×	1.3k 1.6×	1.1k 1.4×	208	5.4k
Kei Kamide Japan	41	2.0k 0.6×	928 0.7×	619 0.7×	863 1.1×	523 0.7×	239	5.7k
Christos Papamichael Greece	39	2.7k 0.9×	1.1k 0.9×	830 1.0×	499 0.6×	482 0.6×	125	5.1k
Angelo Scuteri Italy	40	4.3k 1.4×	1.4k 1.1×	620 0.7×	846 1.1×	619 0.8×	144	7.0k
Dimitrios Tousoulis Greece	35	2.4k 0.8×	572 0.5×	771 0.9×	680 0.8×	721 1.0×	274	4.6k
Jan Skov Jensen Denmark	43	5.1k 1.7×	1.6k 1.3×	1.3k 1.5×	591 0.7×	998 1.3×	188	8.1k

Countries citing papers authored by Jørgen Jeppesen

Since Specialization

Citations

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

Fields of papers citing papers by Jørgen Jeppesen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jørgen Jeppesen

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

All Works

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20 of 20 papers shown

Asferg, Camilla, Ulrik B. Andersen, & Jørgen Jeppesen. (2025). Plasma angiotensinogen is associated with higher 24-hour ambulatory blood pressure independently of plasma angiotensin II in obese men. Peptides. 190. 171410–171410.

Talebi, Atefeh, Rikke Nørmark Mortensen, Thomas Alexander Gerds, Jørgen Jeppesen, & Christian Torp‐Pedersen. (2022). Prediction of cardiovascular events from systolic or diastolic blood pressure. Journal of Clinical Hypertension. 24(6). 760–769. 3 indexed citations

Larsen, Kristian Traberg, et al.. (2021). Intensive Lifestyle Intervention Increases Plasma Midregional Proatrial Natriuretic Peptide Concentrations in Overweight Children. Journal of the American Heart Association. 10(13). e020676–e020676. 2 indexed citations

Theilade, Simone, Signe Abitz Winther, Nete Tofte, et al.. (2020). Copeptin and renal function decline, cardiovascular events and mortality in type 1 diabetes. Nephrology Dialysis Transplantation. 37(1). 100–107. 7 indexed citations

Beernaert, Kim, Malin Lövgren, Jørgen Jeppesen, et al.. (2019). Parents’ Experiences of Information and Decision Making in the Care of Their Child With Severe Spinal Muscular Atrophy: A Population Survey. Journal of Child Neurology. 34(4). 210–215. 17 indexed citations

Goetze, Jens P., Lars Bo Andersen, Jens Faber, et al.. (2019). Association of copeptin, a surrogate marker for arginine vasopressin secretion, with insulin resistance: Influence of adolescence and psychological stress. Peptides. 115. 8–14. 6 indexed citations

Ried‐Larsen, Mathias, Jens P. Goetze, Lars Bo Andersen, et al.. (2019). Plasma proatrial natriuretic peptide associates with lipid oxidation during exercise and cardiorespiratory fitness in healthy young adults. Peptides. 122. 170156–170156. 7 indexed citations

Yang, Wen‐Yi, Lutgarde Thijs, Zhen‐Yu Zhang, et al.. (2018). Evidence-based proposal for the number of ambulatory readings required for assessing blood pressure level in research settings: an analysis of the IDACO database. Blood Pressure. 27(6). 341–350. 23 indexed citations

Jeppesen, Jørgen, Christine Fuchs, Mette Mogensen, et al.. (2018). Trends in incidence, mortality, and causes of death associated with systemic sclerosis in Denmark between 1995 and 2015: a nationwide cohort study. BMC Rheumatology. 2(1). 36–36. 32 indexed citations

10.

Jeppesen, Jørgen, et al.. (2018). “Understanding my ALS”. Experiences and reflections of persons with amyotrophic lateral sclerosis and relatives on participation in peer group rehabilitation. Disability and Rehabilitation. 41(12). 1410–1418. 27 indexed citations

11.

Husemoen, Lise Lotte N., Hans Ibsen, Nele Friedrich, et al.. (2015). Higher Serum Concentrations of N-Terminal Pro-B-Type Natriuretic Peptide Associate with Prevalent Hypertension whereas Lower Associate with Incident Hypertension. PLoS ONE. 10(2). e0117864–e0117864. 10 indexed citations

12.

Thuesen, Leif, Kari Saunamäki, Per Thayssen, et al.. (2014). Similar five-year outcome with paclitaxel- and sirolimus-eluting coronary stents. Scandinavian Cardiovascular Journal. 48(3). 148–155. 7 indexed citations

13.

Asferg, Camilla, Samara Joy Nielsen, Ulrik B. Andersen, et al.. (2013). Metabolic Rather Than Body Composition Measurements Are Associated With Lower Serum Natriuretic Peptide Concentrations in Normal Weight and Obese Men. American Journal of Hypertension. 27(4). 620–627. 15 indexed citations

14.

Borglykke, Anders, Niels Grarup, Thomas Sparsø, et al.. (2012). Genetic Variant SCL2A2 Is Associated with Risk of Cardiovascular Disease – Assessing the Individual and Cumulative Effect of 46 Type 2 Diabetes Related Genetic Variants. PLoS ONE. 7(11). e50418–e50418. 23 indexed citations

15.

Jeppesen, Jørgen, Nikolaj Drimer Berg, Christian Torp‐Pedersen, et al.. (2012). Fibrillin-1 genotype and risk of prevalent hypertension: A study in two independent populations. Blood Pressure. 21(5). 273–280. 2 indexed citations

16.

Jeppesen, Jørgen, Ole Gredal, Jes Rahbek, & Helle Ploug Hansen. (2012). Journalistisk fortælling kan øge sundhedsprofessionel indsigt i rehabilitering. University of Southern Denmark Research Portal (University of Southern Denmark). 1 indexed citations

17.

Haugaard, Steen B., Ove Andersen, Tine W. Hansen, et al.. (2011). The immune marker soluble urokinase plasminogen activator receptor is associated with new‐onset diabetes in non‐smoking women and men. Diabetic Medicine. 29(4). 479–487. 24 indexed citations

18.

Hansen, Tine W., Masahiro Kikuya, Lutgarde Thijs, et al.. (2007). Prognostic superiority of daytime ambulatory over conventional blood pressure in four populations: a meta-analysis of 7030 individuals. Journal of Hypertension. 25(8). 1554–1564. 261 indexed citations

19.

Jeppesen, Jørgen, Pierre Maheux, & Francesco Facchini. (1994). White blood cell count and insulin resistance in healthy nonsmoking men. American Heart Journal. 127(2). 459–461. 14 indexed citations

20.

Ørskov, Cathrine, Jørgen Jeppesen, Sten Madsbad, & Jens J. Holst. (1991). Proglucagon products in plasma of noninsulin-dependent diabetics and nondiabetic controls in the fasting state and after oral glucose and intravenous arginine.. Journal of Clinical Investigation. 87(2). 415–423. 336 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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