Fred Haugen

2.6k total citations
46 papers, 2.0k citations indexed

About

Fred Haugen is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Fred Haugen has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 17 papers in Molecular Biology and 11 papers in Epidemiology. Recurrent topics in Fred Haugen's work include Adipose Tissue and Metabolism (13 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Regulation of Appetite and Obesity (6 papers). Fred Haugen is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Regulation of Appetite and Obesity (6 papers). Fred Haugen collaborates with scholars based in Norway, Sweden and Netherlands. Fred Haugen's co-authors include Christian A. Drevon, Kristin Hollung, Nina Kittelsen Harsem, Anne Cathrine Staff, Trine Ranheim, Frode Norheim, Truls Raastad, Janne E. Reseland, Paul Trayhurn and Marit S. Nenseter and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Fred Haugen

41 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred Haugen Norway 22 810 755 629 311 248 46 2.0k
Agnieszka Nikołajuk Poland 25 768 0.9× 629 0.8× 630 1.0× 241 0.8× 266 1.1× 89 2.1k
Heikki A. Koistinen Finland 29 1.3k 1.6× 743 1.0× 1.2k 1.9× 560 1.8× 131 0.5× 57 2.8k
Emmanuel Somm Switzerland 25 583 0.7× 637 0.8× 603 1.0× 147 0.5× 129 0.5× 42 2.3k
Akira Katsuki Japan 26 816 1.0× 826 1.1× 476 0.8× 396 1.3× 77 0.3× 37 2.4k
Kate Claycombe United States 33 1.2k 1.4× 915 1.2× 779 1.2× 281 0.9× 75 0.3× 49 3.0k
Malin Lönn Sweden 23 781 1.0× 616 0.8× 476 0.8× 164 0.5× 102 0.4× 33 2.6k
Jianhua Shao United States 35 1.2k 1.5× 1.0k 1.3× 1.0k 1.6× 271 0.9× 818 3.3× 59 3.4k
Mark E. Cleasby United Kingdom 23 1.0k 1.3× 311 0.4× 828 1.3× 86 0.3× 89 0.4× 33 2.1k
Frank González United States 31 618 0.8× 461 0.6× 417 0.7× 183 0.6× 126 0.5× 72 3.5k
Vanessa Souza‐Mello Brazil 31 1.3k 1.5× 1.0k 1.3× 706 1.1× 120 0.4× 115 0.5× 93 2.5k

Countries citing papers authored by Fred Haugen

Since Specialization
Citations

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

Fields of papers citing papers by Fred Haugen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Haugen

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Haugen. A scholar is included among the top collaborators of Fred Haugen 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 Fred Haugen. Fred Haugen 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
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Rustan, Arild C., et al.. (2023). Functional expression of the thermally activated transient receptor potential channels TRPA1 and TRPM8 in human myotubes. Journal of Thermal Biology. 116. 103623–103623. 4 indexed citations
4.
Haugen, Fred, et al.. (2022). Paracetamol perturbs neuronal arborization and disrupts the cytoskeletal proteins SPTBN1 and TUBB3 in both human and chicken in vitro models. Toxicology and Applied Pharmacology. 449. 116130–116130. 6 indexed citations
5.
Haugen, Fred, et al.. (2021). Diminished Cold Avoidance Behaviours after Chronic Cold Exposure – Potential Involvement of TRPM8. Neuroscience. 469. 17–30. 3 indexed citations
6.
Erdem, Johanna Samulin, Fred Haugen, Hanne Friis Berntsen, et al.. (2020). A human relevant mixture of persistent organic pollutants (POPs) and perfluorooctane sulfonic acid (PFOS) enhance nerve growth factor (NGF)-induced neurite outgrowth in PC12 cells. Toxicology Letters. 338. 85–96. 11 indexed citations
7.
Haugen, Fred, Nasser E. Bastani, Christen P. Dahl, et al.. (2014). Expression of retinoic acid target genes in coronary artery disease. International Journal of Molecular Medicine. 33(3). 677–686. 26 indexed citations
8.
Rutkovskiy, Arkady, Fred Haugen, Anton Baysa, et al.. (2014). Expression of bone morphogenetic protein 4 and its receptors in the remodeling heart. Life Sciences. 97(2). 145–154. 33 indexed citations
9.
Gravning, Jørgen, et al.. (2012). Protecting the heart through delivering DNA encoding for heme oxygenase-1 into skeletal muscle. Life Sciences. 91(17-18). 828–836. 9 indexed citations
10.
Klemsdal, Tor Ole, et al.. (2012). Effect of a Low-Fat Versus a Low-Gycemic-Load Diet on Inflammatory Biomarker and Adipokine Concentrations. Metabolic Syndrome and Related Disorders. 10(6). 437–442. 21 indexed citations
11.
Peng, Lei, Anton Baysa, Hilde I. Nebb, et al.. (2012). Activation of Liver X receptors in the heart leads to accumulation of intracellular lipids and attenuation of ischemia–reperfusion injury. Basic Research in Cardiology. 108(1). 323–323. 45 indexed citations
12.
Haugen, Fred, Anton Baysa, Nasser E. Bastani, et al.. (2012). Retinoic Acid Signalling Is Activated in the Postischemic Heart and May Influence Remodelling. PLoS ONE. 7(9). e44740–e44740. 47 indexed citations
13.
Haugen, Fred, et al.. (2011). Altered expression of genes in adipose tissues associated with reduced fat mass in patients with pancreatic cancer. Archives of Physiology and Biochemistry. 117(2). 78–87. 14 indexed citations
14.
Gjelstad, Ingrid M.F., Fred Haugen, Hanne Løvdal Gulseth, et al.. (2011). Expression of perilipins in human skeletal musclein vitroandin vivoin relation to diet, exercise and energy balance. Archives of Physiology and Biochemistry. 118(1). 22–30. 28 indexed citations
15.
Haugen, Fred, Trine Ranheim, Nina Kittelsen Harsem, et al.. (2005). Increased plasma levels of adipokines in preeclampsia: relationship to placenta and adipose tissue gene expression. American Journal of Physiology-Endocrinology and Metabolism. 290(2). E326–E333. 154 indexed citations
16.
Reseland, Janne E., Kristin Hollung, Fred Haugen, et al.. (2005). Cigarette smoking may reduce plasma leptin concentration via catecholamines. Prostaglandins Leukotrienes and Essential Fatty Acids. 73(1). 43–49. 62 indexed citations
17.
Haugen, Fred, Zahid Naeem, Knut Tomas Dalen, et al.. (2004). Resistin expression in 3T3-L1 adipocytes is reduced by arachidonic acid. Journal of Lipid Research. 46(1). 143–153. 39 indexed citations
18.
Ranheim, Trine, Fred Haugen, Anne Cathrine Staff, et al.. (2004). Adiponectin is reduced in gestational diabetes mellitus in normal weight women. Acta Obstetricia Et Gynecologica Scandinavica. 83(4). 341–347. 141 indexed citations
19.
Juvet, Lene Kristine, Gertrud U. Schuster, Knut Tomas Dalen, et al.. (2003). On the Role of Liver X Receptors in Lipid Accumulation in Adipocytes. Molecular Endocrinology. 17(2). 172–182. 139 indexed citations
20.
Haugen, Fred, et al.. (2001). Inhibition by insulin of resistin gene expression in 3T3‐L1 adipocytes. FEBS Letters. 507(1). 105–108. 130 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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