Ida U Njerve

474 total citations
23 papers, 380 citations indexed

About

Ida U Njerve is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Ida U Njerve has authored 23 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Ida U Njerve's work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Cardiovascular Disease and Adiposity (3 papers) and Chemokine receptors and signaling (3 papers). Ida U Njerve is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (6 papers), Cardiovascular Disease and Adiposity (3 papers) and Chemokine receptors and signaling (3 papers). Ida U Njerve collaborates with scholars based in Norway, United States and Austria. Ida U Njerve's co-authors include Ingebjørg Seljeflot, Harald Arnesen, Svein Solheim, Sigmund A. Anderssen, Valentı́n Fuster, Kiyotake Ishikawa, Carlos G. Santos‐Gallego, Belén Picatoste, Roger J. Hajjar and Juan J. Badimón and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Ida U Njerve

22 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ida U Njerve Norway 11 163 118 72 71 47 23 380
Roberto Schreiber Brazil 11 151 0.9× 114 1.0× 46 0.6× 33 0.5× 47 1.0× 53 413
Jianping Zeng China 10 197 1.2× 108 0.9× 43 0.6× 81 1.1× 68 1.4× 48 486
Matthew Kahn United Kingdom 12 183 1.1× 156 1.3× 78 1.1× 54 0.8× 68 1.4× 22 437
Jessica Nigro United States 5 161 1.0× 219 1.9× 86 1.2× 28 0.4× 40 0.9× 7 455
Steven J. Simmonds Belgium 7 260 1.6× 117 1.0× 36 0.5× 26 0.4× 54 1.1× 12 405
Valéria A. Gomes Brazil 10 101 0.6× 47 0.4× 98 1.4× 39 0.5× 30 0.6× 12 460
Rui‐Xiang Zeng China 12 161 1.0× 41 0.3× 47 0.7× 63 0.9× 91 1.9× 34 408
Fenghe Du China 13 98 0.6× 116 1.0× 41 0.6× 59 0.8× 60 1.3× 28 386
Hengdao Liu China 12 62 0.4× 183 1.6× 51 0.7× 72 1.0× 74 1.6× 26 399
Gourg Atteya United States 7 96 0.6× 130 1.1× 31 0.4× 76 1.1× 32 0.7× 16 376

Countries citing papers authored by Ida U Njerve

Since Specialization
Citations

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

Fields of papers citing papers by Ida U Njerve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ida U Njerve. 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 Ida U Njerve. The network helps show where Ida U Njerve may publish in the future.

Co-authorship network of co-authors of Ida U Njerve

This figure shows the co-authorship network connecting the top 25 collaborators of Ida U Njerve. A scholar is included among the top collaborators of Ida U Njerve 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 Ida U Njerve. Ida U Njerve 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.
Mirlashari, Mohammad Reza, Lise Sofie Haug Nissen‐Meyer, Christian Naper, et al.. (2021). HLA class I depletion by citric acid, and irradiation of apheresis platelets for transfusion of refractory patients. Transfusion. 61(4). 1222–1234. 8 indexed citations
2.
Njerve, Ida U, et al.. (2021). Adiponectin in relation to exercise and physical performance in patients with type 2 diabetes and coronary artery disease. Adipocyte. 10(1). 612–620. 14 indexed citations
3.
Aksnes, Tonje A., Arnljot Flaa, Heidi B. Eggesbø, et al.. (2020). Markers of remodeling in subcutaneous adipose tissue are strongly associated with overweight and insulin sensitivity in healthy non-obese men. Scientific Reports. 10(1). 14055–14055. 10 indexed citations
6.
Seljeflot, Ingebjørg, et al.. (2018). Effect of strenuous exercise on mediators of inflammation in patients with coronary artery disease. Cytokine. 105. 17–22. 11 indexed citations
7.
Aksnes, Tonje A., Arnljot Flaa, Heidi B. Eggesbø, et al.. (2018). Interleukin-18 and the NLR family pyrin domain containing-3 inflammasome in adipose tissue are strongly associated with glucometabolic variables in a cohort of middle-aged men. Diabetes and Vascular Disease Research. 15(5). 458–464. 4 indexed citations
8.
Njerve, Ida U, et al.. (2017). Reduced endothelial activation after exercise is associated with improved HbA1c in patients with type 2 diabetes and coronary artery disease. Diabetes and Vascular Disease Research. 14(2). 94–103. 13 indexed citations
9.
Bratseth, Vibeke, et al.. (2017). Procoagulant activity in patients with combined type 2 diabetes and coronary artery disease: No effects of long-term exercise training. Diabetes and Vascular Disease Research. 14(2). 144–151. 8 indexed citations
12.
Anderssen, Sigmund A., et al.. (2016). Effects of exercise training on carotid intima-media thickness in patients with type 2 diabetes and coronary artery disease. Influence of carotid plaques. Cardiovascular Diabetology. 15(1). 13–13. 49 indexed citations
13.
Santos‐Gallego, Carlos G., Torsten Vahl, Georg Goliasch, et al.. (2016). Sphingosine-1-Phosphate Receptor Agonist Fingolimod Increases Myocardial Salvage and Decreases Adverse Postinfarction Left Ventricular Remodeling in a Porcine Model of Ischemia/Reperfusion. Circulation. 133(10). 954–966. 147 indexed citations
14.
Santos‐Gallego, Carlos G., Belén Picatoste, Ida U Njerve, et al.. (2015). THE SPHINGOSINE 1-PHOSPHATE RECEPTOR AGONIST FINGOLIMOD REDUCES MYOCARDIAL ISCHEMIA-REPERFUSION INJURY MEDIATED BY ACTIVATION OF AUTOPHAGY: AN IN VITRO AND IN VIVO STUDY. Journal of the American College of Cardiology. 65(10). A796–A796. 1 indexed citations
15.
Laake, K, Ingebjørg Seljeflot, Morten Wang Fagerland, et al.. (2015). Effects on Serum Fractalkine by Diet and Omega‐3 Fatty Acid Intervention: Relation to Clinical Outcome. Mediators of Inflammation. 2015(1). 373070–373070. 2 indexed citations
16.
Santos‐Gallego, Carlos G., Belén Picatoste, Ida U Njerve, et al.. (2015). THE SPHINGOSINE-1-PHOSPHATE RECEPTOR AGONIST FINGOLIMOD REDUCES ISCHEMIA-REPERFUSION INJURY BY DECREASING CARDIOMYOCYTE APOPTOSIS MEDIATED BY ACTIVATION OF THE RISK PATHWAY. Journal of the American College of Cardiology. 65(10). A256–A256. 1 indexed citations
17.
Edvardsen, Elisabeth, et al.. (2014). Insulin levels and HOMA index are associated with exercise capacity in patients with type 2 diabetes and coronary artery disease. Diabetology & Metabolic Syndrome. 6(1). 36–36. 14 indexed citations
18.
Njerve, Ida U, Svein Solheim, Ketil Lunde, et al.. (2014). Fractalkine levels are elevated early after PCI-treated ST-elevation myocardial infarction; no influence of autologous bone marrow derived stem cell injection. Cytokine. 69(1). 131–135. 16 indexed citations
19.
Santos‐Gallego, Carlos G., Ida U Njerve, Kiyotake Ishikawa, et al.. (2014). Abstract 17984: Validating the Gold-standard: Steady-State Free Precession Sequence for Assessment of Left Ventricular and Right Ventricular Mass. Circulation. 130(suppl_2). 1 indexed citations
20.
Njerve, Ida U, Alf‐Åge R. Pettersen, Trine B. Opstad, Harald Arnesen, & Ingebjørg Seljeflot. (2012). Fractalkine and Its Receptor (CX3CR1) in Patients with Stable Coronary Artery Disease and Diabetes Mellitus. Metabolic Syndrome and Related Disorders. 10(6). 400–406. 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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