Josefin Skogsberg

1.9k total citations
30 papers, 1.1k citations indexed

About

Josefin Skogsberg is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Josefin Skogsberg has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Physiology and 8 papers in Immunology. Recurrent topics in Josefin Skogsberg's work include Peroxisome Proliferator-Activated Receptors (8 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Adipose Tissue and Metabolism (7 papers). Josefin Skogsberg is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (8 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Adipose Tissue and Metabolism (7 papers). Josefin Skogsberg collaborates with scholars based in Sweden, United States and Germany. Josefin Skogsberg's co-authors include Ewa Ehrenborg, Anders Hamsten, Johan Björkegren, Katja Kannisto, Per Eriksson, Tobias N. Cassel, Björn Glinghammar, Husain A. Talukdar, Hassan Foroughi Asl and Jesper Tegnér and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.

In The Last Decade

Josefin Skogsberg

30 papers receiving 1.1k citations

Peers

Josefin Skogsberg
Martina Lukasova Germany
Weimin He United States
Mounib Elchebly Canada
Tsugumichi Saito Japan
Jesús M. Martín‐Campos Spain
Meenalakshmi M. Mariappan United States
Panjamaporn Sangwung United States
Venkanna Pasham Germany
Senthil Duraisamy United States
R. Dennis Miranda United States
Martina Lukasova Germany
Josefin Skogsberg
Citations per year, relative to Josefin Skogsberg Josefin Skogsberg (= 1×) peers Martina Lukasova

Countries citing papers authored by Josefin Skogsberg

Since Specialization
Citations

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

Fields of papers citing papers by Josefin Skogsberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josefin Skogsberg

This figure shows the co-authorship network connecting the top 25 collaborators of Josefin Skogsberg. A scholar is included among the top collaborators of Josefin Skogsberg 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 Josefin Skogsberg. Josefin Skogsberg 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.
Lietzau, Grażyna, Giulia Magni, Ján Kehr, et al.. (2020). Dipeptidyl peptidase-4 inhibitors and sulfonylureas prevent the progressive impairment of the nigrostriatal dopaminergic system induced by diabetes during aging. Neurobiology of Aging. 89. 12–23. 19 indexed citations
2.
Ehrenborg, Ewa, Valentina Paloschi, Isabel Gonçalves, et al.. (2020). Repression of MAP1LC3A during atherosclerosis progression plays an important role in the regulation of vascular smooth muscle cell phenotype. Atherosclerosis. 315. e22–e23. 2 indexed citations
3.
Moessinger, Christine, Ingrid Nilsson, Lars Muhl, et al.. (2020). VEGF‐B signaling impairs endothelial glucose transcytosis by decreasing membrane cholesterol content. EMBO Reports. 21(7). e49343–e49343. 27 indexed citations
4.
Skogsberg, Josefin, et al.. (2020). Induction of the Coxsackievirus and Adenovirus Receptor in Macrophages During the Formation of Atherosclerotic Plaques. The Journal of Infectious Diseases. 222(12). 2041–2051. 5 indexed citations
5.
Lietzau, Grażyna, Claes‐Göran Östenson, Fausto Chiazza, et al.. (2018). Type 2 diabetes impairs odour detection, olfactory memory and olfactory neuroplasticity; effects partly reversed by the DPP-4 inhibitor Linagliptin. Acta Neuropathologica Communications. 6(1). 14–14. 39 indexed citations
6.
Vilne, Baiba, Josefin Skogsberg, Hassan Foroughi Asl, et al.. (2017). Network analysis reveals a causal role of mitochondrial gene activity in atherosclerotic lesion formation. Atherosclerosis. 267. 39–48. 25 indexed citations
7.
Talukdar, Husain A., Hassan Foroughi Asl, Rajeev Jain, et al.. (2016). Cross-Tissue Regulatory Gene Networks in Coronary Artery Disease. Cell Systems. 2(3). 196–208. 96 indexed citations
8.
Björkegren, Johan, Sara Hägg, Husain A. Talukdar, et al.. (2014). Plasma Cholesterol–Induced Lesion Networks Activated before Regression of Early, Mature, and Advanced Atherosclerosis. PLoS Genetics. 10(2). e1004201–e1004201. 50 indexed citations
9.
Ehrenborg, Ewa & Josefin Skogsberg. (2013). Peroxisome proliferator-activated receptor delta and cardiovascular disease. Atherosclerosis. 231(1). 95–106. 31 indexed citations
10.
Hägg, Sara, Mehran Salehpour, Peri Noori, et al.. (2011). Carotid Plaque Age Is a Feature of Plaque Stability Inversely Related to Levels of Plasma Insulin. PLoS ONE. 6(4). e18248–e18248. 15 indexed citations
11.
Skogsberg, Josefin, Jesper Lundström, Alexander Kovacs, et al.. (2008). Transcriptional Profiling Uncovers a Network of Cholesterol-Responsive Atherosclerosis Target Genes. PLoS Genetics. 4(3). e1000036–e1000036. 57 indexed citations
12.
13.
Skogsberg, Josefin, Andrea Dicker, Mikael Rydén, et al.. (2008). ApoB100-LDL Acts as a Metabolic Signal from Liver to Peripheral Fat Causing Inhibition of Lipolysis in Adipocytes. PLoS ONE. 3(11). e3771–e3771. 22 indexed citations
14.
15.
Skogsberg, Josefin, et al.. (2004). The Low Density Lipoprotein Receptor Prevents Secretion of Dense ApoB100-containing Lipoproteins from the Liver. Journal of Biological Chemistry. 279(2). 831–836. 48 indexed citations
16.
Hilding, Agneta, Kerstin Hall, Josefin Skogsberg, Ewa Ehrenborg, & Moira Lewitt. (2003). Troglitazone stimulates IGF-binding protein-1 by a PPARγ-independent mechanism. Biochemical and Biophysical Research Communications. 303(2). 693–699. 13 indexed citations
17.
Skogsberg, Josefin, Katja Kannisto, Tobias N. Cassel, et al.. (2003). Evidence That Peroxisome Proliferator–Activated Receptor Delta Influences Cholesterol Metabolism in Men. Arteriosclerosis Thrombosis and Vascular Biology. 23(4). 637–643. 114 indexed citations
18.
Glinghammar, Björn, Josefin Skogsberg, Anders Hamsten, & Ewa Ehrenborg. (2003). PPARδ activation induces COX-2 gene expression and cell proliferation in human hepatocellular carcinoma cells. Biochemical and Biophysical Research Communications. 308(2). 361–368. 65 indexed citations
19.
Skogsberg, Josefin, Alex D. McMahon, Fredrik Karpe, et al.. (2003). Peroxisome proliferator activated receptor delta genotype in relation to cardiovascular risk factors and risk of coronary heart disease in hypercholesterolaemic men. Journal of Internal Medicine. 254(6). 597–604. 68 indexed citations
20.
Ehrenborg, Ewa, Josefin Skogsberg, Giacomo Ruotolo, et al.. (2000). The Q/E27 polymorphism in the β2‐adrenoceptor gene is associated with increased body weight and dyslipoproteinaemia involving triglyceride‐rich lipoproteins. Journal of Internal Medicine. 247(6). 651–656. 46 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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