Pål Aukrust

26.3k total citations · 2 hit papers
479 papers, 18.7k citations indexed

About

Pål Aukrust is a scholar working on Immunology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Pål Aukrust has authored 479 papers receiving a total of 18.7k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Immunology, 114 papers in Molecular Biology and 101 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Pål Aukrust's work include Immune Cell Function and Interaction (57 papers), Atherosclerosis and Cardiovascular Diseases (49 papers) and Immunodeficiency and Autoimmune Disorders (42 papers). Pål Aukrust is often cited by papers focused on Immune Cell Function and Interaction (57 papers), Atherosclerosis and Cardiovascular Diseases (49 papers) and Immunodeficiency and Autoimmune Disorders (42 papers). Pål Aukrust collaborates with scholars based in Norway, United States and United Kingdom. Pål Aukrust's co-authors include Thor Ueland, Lars Gullestad, Stig S. Frøland, Arne Yndestad, Fredrik Müller, Bente Halvorsen, Jan Kristian Damås, Terje Espevik, Egil Lien and Erik Øie and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Pål Aukrust

473 papers receiving 18.4k citations

Hit Papers

align trajectories sort by overperformance

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.

The NLRP3 inflammasome is up-regulated in cardiac fibroblasts and mediates myocardial ischaemia–reperfusion injury

2013 435 citations Øystein Sandanger, Christen P. Dahl et al. profile →
Effect of a single dose of the interleukin-6 receptor antagonist tocilizumab on inflammation and troponin T release in patients with non-ST-elevation myocardial infarction: a double-blind, randomized, placebo-controlled phase 2 trial

2016 288 citations Ola Kleveland, Gabor Kunszt et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pål Aukrust	5.2k	5.2k	4.5k	3.4k	2.5k	479	18.7k
Thor Ueland	4.0k 0.8×	5.6k 1.1×	4.8k 1.1×	2.7k 0.8×	3.1k 1.2×	563	19.4k
Angelika Bierhaus	4.5k 0.9×	6.2k 1.2×	1.8k 0.4×	2.4k 0.7×	1.5k 0.6×	247	22.7k
Peter P. Nawroth	6.5k 1.2×	9.8k 1.9×	2.7k 0.6×	4.0k 1.2×	3.6k 1.4×	494	36.3k
Ronald L. Wilder	5.9k 1.1×	3.8k 0.7×	1.4k 0.3×	1.5k 0.4×	1.9k 0.8×	113	27.1k
Simon C. Robson	7.0k 1.3×	6.6k 1.3×	1.2k 0.3×	3.2k 0.9×	6.4k 2.5×	473	27.7k
Giamila Fantuzzi	6.5k 1.2×	7.0k 1.4×	1.2k 0.3×	5.6k 1.6×	1.9k 0.8×	198	19.6k
Cem Gabay	8.0k 1.5×	4.6k 0.9×	953 0.2×	3.6k 1.1×	3.1k 1.2×	287	22.0k
Holger K. Eltzschig	4.4k 0.8×	7.9k 1.5×	2.9k 0.7×	2.3k 0.7×	4.2k 1.7×	290	27.3k
Peter Pickkers	4.2k 0.8×	2.9k 0.6×	1.8k 0.4×	4.6k 1.4×	2.4k 0.9×	443	18.8k
Fabrizio Montecucco	3.0k 0.6×	3.5k 0.7×	2.9k 0.6×	2.3k 0.7×	2.3k 0.9×	403	13.1k

Countries citing papers authored by Pål Aukrust

Since Specialization

Citations

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

Fields of papers citing papers by Pål Aukrust

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pål Aukrust

This figure shows the co-authorship network connecting the top 25 collaborators of Pål Aukrust. A scholar is included among the top collaborators of Pål Aukrust 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 Pål Aukrust. Pål Aukrust 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

Lauritzen, Knut H., Kuan Yang, Michael Frisk, et al.. (2025). Apigenin inhibits NLRP3 inflammasome activation in monocytes and macrophages independently of CD38. Frontiers in Immunology. 15. 1497984–1497984. 2 indexed citations

Barratt‐Due, Andreas, Jan Cato Holter, Anne Ma Dyrhol‐Riise, et al.. (2024). Escalated complement activation during hospitalization is associated with higher risk of 60‐day mortality in SARS‐CoV‐2‐infected patients. Journal of Internal Medicine. 296(1). 80–92. 4 indexed citations

Yang, Mingyi, Mari Kaarbø, Henrik M. Reims, et al.. (2024). Altered Genome-Wide DNA Methylation in the Duodenum of Common Variable Immunodeficiency Patients. Journal of Clinical Immunology. 44(6). 133–133. 1 indexed citations

Retterstøl, Kjetil, Ingunn Narverud, Martin P. Bogsrud, et al.. (2024). Adherence to the Healthy Nordic Food Index is associated with reduced plasma levels of inflammatory markers in patients with heterozygous familial hypercholesterolemia. SHILAP Revista de lepidopterología. 58. 38–45. 2 indexed citations

Thorsby, Per Medbøe, Lisa E. Hauger, Kristina H. Haugaa, et al.. (2024). Elevated interleukin 8 and matrix metalloproteinase 9 levels are associated with myocardial pathology in users of anabolic-androgenic steroids. European Journal of Preventive Cardiology. 31(12). 1469–1476. 3 indexed citations

Ueland, Thor, Beathe Haatveit, Anja Vaskinn, et al.. (2024). Longitudinal course of inflammatory-cognitive subgroups across first treatment severe mental illness and healthy controls. Psychological Medicine. 54(12). 3519–3529. 2 indexed citations

Kong, Xiang Yi, Knut H. Lauritzen, Tuva B. Dahl, et al.. (2024). CD38 deficient mice are not protected from atherosclerosis. Biochemical and Biophysical Research Communications. 705. 149734–149734. 1 indexed citations

Åsberg, Anders, Thor Ueland, Anna Varberg Reisæter, et al.. (2023). Systemic inflammation early after kidney transplantation is associated with long-term graft loss: a cohort study. Frontiers in Immunology. 14. 1253991–1253991. 6 indexed citations

Parker, Nadine, Weiqiu Cheng, Guy Hindley, et al.. (2023). Genetic Overlap Between Global Cortical Brain Structure, C-Reactive Protein, and White Blood Cell Counts. Biological Psychiatry. 95(1). 62–71. 10 indexed citations

10.

Ueland, Thor, et al.. (2023). Fatty Acids Composition and HIV Infection: Altered Levels of n-6 Polyunsaturated Fatty Acids Are Associated with Disease Progression. Viruses. 15(7). 1613–1613. 4 indexed citations

11.

Werner, Maren Caroline Frogner, Alexey Shadrin, Synve Hoffart Lunding, et al.. (2022). Immune marker levels in severe mental disorders: associations with polygenic risk scores of related mental phenotypes and psoriasis. Translational Psychiatry. 12(1). 38–38. 23 indexed citations

12.

Ueland, Thor, Beathe Haatveit, Luigi A. Maglanoc, et al.. (2022). Inflammation and cognition in severe mental illness: patterns of covariation and subgroups. Molecular Psychiatry. 28(3). 1284–1292. 31 indexed citations

13.

George, Marc J., Ola Kleveland, Jorge García‐Hernández, et al.. (2020). Novel Insights Into the Effects of Interleukin 6 Antagonism in Non–ST‐Segment–Elevation Myocardial Infarction Employing the SOMAscan Proteomics Platform. Journal of the American Heart Association. 9(12). e015628–e015628. 17 indexed citations

14.

Ueland, Thor, Annika E. Michelsen, Judith Krey Ludviksen, et al.. (2019). Increased Complement Factor B and Bb Levels Are Associated with Mortality in Patients with Severe Aortic Stenosis. The Journal of Immunology. 203(7). 1973–1980. 8 indexed citations

15.

Kleveland, Ola, Thor Ueland, Gabor Kunszt, et al.. (2018). Interleukin-6 receptor inhibition with tocilizumab induces a selective and substantial increase in plasma IP-10 and MIP-1β in non-ST-elevation myocardial infarction. International Journal of Cardiology. 271. 1–7. 27 indexed citations

16.

Ueland, Thor, Pål Aukrust, Annika E. Michelsen, et al.. (2017). Immediate response in markers of inflammation and angiogenesis during exercise: a randomised cross-over study in heart transplant recipients. Open Heart. 4(2). e000635–e000635. 16 indexed citations

17.

Ueland, Thor, Ståle H. Nymo, Roberto Latini, et al.. (2013). CCL21 is Associated with Fatal Outcomes in Chronic Heart Failure: Data from CORONA and GISSI-HF Trials. European Journal of Heart Failure. 15(7). 747–755. 15 indexed citations

18.

Broch, Kaspar, Thor Ueland, Ståle H. Nymo, et al.. (2012). Soluble ST2 is Associated with Adverse Outcome in Patients with Heart Failure of Ischaemic Aetiology. European Journal of Heart Failure. 14(3). 268–277. 106 indexed citations

19.

Latini, Roberto, Lars Gullestad, Serge Masson, et al.. (2012). Pentraxin-3 in Chronic Heart Failure: The CORONA and GISSI-HF Trials. European Journal of Heart Failure. 14(9). 992–999. 80 indexed citations

20.

Solberg, Ole Geir, Thor Ueland, Ragnhild Wergeland, et al.. (2012). High-sensitive troponin T and N-terminal-brain-natriuretic-peptide predict outcome in symptomatic aortic stenosis. Scandinavian Cardiovascular Journal. 46(5). 278–285. 23 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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