Andrea Ahnmark

1.1k total citations
16 papers, 636 citations indexed

About

Andrea Ahnmark is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Andrea Ahnmark has authored 16 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Epidemiology. Recurrent topics in Andrea Ahnmark's work include Adipose Tissue and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Andrea Ahnmark is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Andrea Ahnmark collaborates with scholars based in Sweden, United Kingdom and United States. Andrea Ahnmark's co-authors include Daniel Lindén, Lena William‐Olsson, Jan Oscarsson, Mohammad Bohlooly‐Y, Anders Elmgren, Gunnel Arnerup, Mikael Bjursell, Magdalena Rhedin, Anna‐Lena Berg and Karolina Ploj and has published in prestigious journals such as PLoS ONE, Diabetes and The FASEB Journal.

In The Last Decade

Andrea Ahnmark

16 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Ahnmark Sweden 10 299 293 246 107 104 16 636
Daša Medříková Czechia 12 456 1.5× 259 0.9× 243 1.0× 96 0.9× 64 0.6× 17 860
Mackenzie Pearson United States 12 316 1.1× 313 1.1× 381 1.5× 107 1.0× 58 0.6× 14 809
Ankit X. Sharma United States 5 301 1.0× 313 1.1× 268 1.1× 71 0.7× 44 0.4× 8 598
Ludmila Kazdová Czechia 13 201 0.7× 246 0.8× 184 0.7× 83 0.8× 35 0.3× 24 584
K. Staiger Germany 9 218 0.7× 234 0.8× 258 1.0× 36 0.3× 65 0.6× 11 584
Fareeba Sheedfar Netherlands 11 262 0.9× 327 1.1× 252 1.0× 37 0.3× 42 0.4× 14 700
Tamra Mendoza United States 14 381 1.3× 172 0.6× 378 1.5× 40 0.4× 77 0.7× 21 804
Miroslava Šimáková Czechia 15 230 0.8× 119 0.4× 320 1.3× 51 0.5× 44 0.4× 50 721
Kahealani Uehara United States 11 320 1.1× 321 1.1× 387 1.6× 40 0.4× 85 0.8× 14 858
Vladimír Kůs Czechia 10 393 1.3× 162 0.6× 176 0.7× 66 0.6× 59 0.6× 11 596

Countries citing papers authored by Andrea Ahnmark

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Ahnmark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Ahnmark

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

All Works

16 of 16 papers shown
1.
Karlsson, Daniel, Andrea Ahnmark, Alan Sabirsh, et al.. (2022). Inhibition of SGLT2 Preserves Function and Promotes Proliferation of Human Islets Cells In Vivo in Diabetic Mice. Biomedicines. 10(2). 203–203. 7 indexed citations
2.
Palmgren, Henrik, Kasparas Petkevicius, Stefano Bartesaghi, et al.. (2022). Elevated Adipocyte Membrane Phospholipid Saturation Does Not Compromise Insulin Signaling. Diabetes. 72(10). 1350–1363. 5 indexed citations
3.
Harms, Matthew, Stefanie Maurer, L Bonnet, et al.. (2020). PPARγ and PPARα synergize to induce robust browning of white fat in vivo. Molecular Metabolism. 36. 100964–100964. 64 indexed citations
4.
Buss, Nicholas, Jean‐Martin Lapointe, Lolke de Haan, et al.. (2018). Monoclonal antibody targeting of fibroblast growth factor receptor 1c causes cardiac valvulopathy in rats. Toxicology and Applied Pharmacology. 355. 147–155. 3 indexed citations
5.
Hansson, Sara, Alex‐Xianghua Zhou, Jan W. Eriksson, et al.. (2018). Secretagogin is increased in plasma from type 2 diabetes patients and potentially reflects stress and islet dysfunction. PLoS ONE. 13(4). e0196601–e0196601. 11 indexed citations
6.
Sundström, Linda, Monika Sundqvist, Andrea Ahnmark, et al.. (2017). The acute glucose lowering effect of specific GPR120 activation in mice is mainly driven by glucagon-like peptide 1. PLoS ONE. 12(12). e0189060–e0189060. 41 indexed citations
7.
Chappell, Michael J., et al.. (2016). Input estimation for drug discovery using optimal control and Markov chain Monte Carlo approaches. Journal of Pharmacokinetics and Pharmacodynamics. 43(2). 207–221. 7 indexed citations
8.
Adingupu, Damilola D., Suvi E. Heinonen, Anne‐Christine Andréasson, et al.. (2016). Hyperglycemia Induced by Glucokinase Deficiency Accelerates Atherosclerosis Development and Impairs Lesion Regression in Combined Heterozygous Glucokinase and the Apolipoprotein E-Knockout Mice. Journal of Diabetes Research. 2016. 1–11. 4 indexed citations
9.
Davidsson, Pia, et al.. (2015). Studies of Nontarget-Mediated Distribution of Human Full-Length IgG1 Antibody and Its FAb Fragment in Cardiovascular and Metabolic-Related Tissues. Journal of Pharmaceutical Sciences. 104(5). 1825–1831. 3 indexed citations
10.
Lelliott, Christopher J., Andrea Ahnmark, Therése Admyre, et al.. (2014). Monoclonal Antibody Targeting of Fibroblast Growth Factor Receptor 1c Ameliorates Obesity and Glucose Intolerance via Central Mechanisms. PLoS ONE. 9(11). e112109–e112109. 20 indexed citations
11.
Lindgren, Anna, Malin Levin, Sandra Rodrigo Blomqvist, et al.. (2013). Adiponectin Receptor 2 Deficiency Results in Reduced Atherosclerosis in the Brachiocephalic Artery in Apolipoprotein E Deficient Mice. PLoS ONE. 8(11). e80330–e80330. 20 indexed citations
12.
Ahnmark, Andrea, Lena William‐Olsson, Michael Snaith, et al.. (2008). The role of mitochondrial glycerol-3-phosphate acyltransferase-1 in regulating lipid and glucose homeostasis in high-fat diet fed mice. Biochemical and Biophysical Research Communications. 369(4). 1065–1070. 19 indexed citations
13.
Bjursell, Mikael, Andrea Ahnmark, Mohammad Bohlooly‐Y, et al.. (2007). Opposing Effects of Adiponectin Receptors 1 and 2 on Energy Metabolism. Diabetes. 56(3). 583–593. 216 indexed citations
14.
Lelliott, Christopher J., Anna Ljungberg, Andrea Ahnmark, et al.. (2007). Hepatic PGC-1β Overexpression Induces Combined Hyperlipidemia and Modulates the Response to PPARα Activation. Arteriosclerosis Thrombosis and Vascular Biology. 27(12). 2707–2713. 38 indexed citations
15.
Lindén, Daniel, Lena William‐Olsson, Andrea Ahnmark, et al.. (2006). Liver‐directed overexpression of mitochondrial glycerol‐3‐phosphate acyltransferase results in hepatic steatosis, increased triacylglycerol secretion and reduced fatty acid oxidation. The FASEB Journal. 20(3). 434–443. 100 indexed citations
16.
Edvardsson, Ulrika, Anna Ljungberg, Daniel Lindén, et al.. (2005). PPARα activation increases triglyceride mass and adipose differentiation-related protein in hepatocytes. Journal of Lipid Research. 47(2). 329–340. 78 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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