Anna M. Lundberg

2.7k total citations
27 papers, 2.2k citations indexed

About

Anna M. Lundberg is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Anna M. Lundberg has authored 27 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Anna M. Lundberg's work include Immune Response and Inflammation (12 papers), Atherosclerosis and Cardiovascular Diseases (10 papers) and NF-κB Signaling Pathways (6 papers). Anna M. Lundberg is often cited by papers focused on Immune Response and Inflammation (12 papers), Atherosclerosis and Cardiovascular Diseases (10 papers) and NF-κB Signaling Pathways (6 papers). Anna M. Lundberg collaborates with scholars based in Sweden, United Kingdom and United States. Anna M. Lundberg's co-authors include Göran K. Hansson, Marc Feldmann, Sandra Sacre, Daniel F.J. Ketelhuth, Brian M. J. Foxwell, Evangelos Andreakos, Claudia Monaco, Serafim Kiriakidis, Anton Gisterå and Norbert Gerdes and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Anna M. Lundberg

27 papers receiving 2.2k citations

Peers

Anna M. Lundberg
Koen Vandenbroeck Spain
Mohini Gray United Kingdom
Marco Manca Netherlands
Svend T. Rietdijk Netherlands
Kristina Edfeldt Sweden
Florian C. Kurschus Germany
Feili Gong China
Marten A. Hoeksema Netherlands
Davide Di Fusco Italy
Koen Vandenbroeck Spain
Anna M. Lundberg
Citations per year, relative to Anna M. Lundberg Anna M. Lundberg (= 1×) peers Koen Vandenbroeck

Countries citing papers authored by Anna M. Lundberg

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Lundberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. Lundberg. 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 Anna M. Lundberg. The network helps show where Anna M. Lundberg may publish in the future.

Co-authorship network of co-authors of Anna M. Lundberg

This figure shows the co-authorship network connecting the top 25 collaborators of Anna M. Lundberg. A scholar is included among the top collaborators of Anna M. Lundberg 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 Anna M. Lundberg. Anna M. Lundberg 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.
Vorkapić, Emina, Anna M. Lundberg, Mikko I. Mäyränpää, Per Eriksson, & Dick Wågsäter. (2015). TRIF adaptor signaling is important in abdominal aortic aneurysm formation. Atherosclerosis. 241(2). 561–568. 30 indexed citations
2.
Strodthoff, Daniela, Zuheng Ma, Rona J. Strawbridge, et al.. (2015). Toll-Like Receptor 3 Influences Glucose Homeostasis and β-Cell Insulin Secretion. Diabetes. 64(10). 3425–3438. 19 indexed citations
3.
Gisterå, Anton, John Andersson, Daniel F.J. Ketelhuth, et al.. (2014). Transforming growth factor-beta signaling in t cells promotes stabilization of atherosclerotic plaques through an interleukin-17 dependent pathway. Atherosclerosis. 235(2). e88–e89. 62 indexed citations
4.
Klingenberg, Roland, Norbert Gerdes, Robert M. Badeau, et al.. (2013). Depletion of FOXP3+ regulatory T cells promotes hypercholesterolemia and atherosclerosis. Journal of Clinical Investigation. 123(3). 1323–1334. 297 indexed citations
5.
Lundberg, Anna M., Daniel F.J. Ketelhuth, Maria E. Johansson, et al.. (2013). Toll-like receptor 3 and 4 signalling through the TRIF and TRAM adaptors in haematopoietic cells promotes atherosclerosis. Cardiovascular Research. 99(2). 364–373. 92 indexed citations
6.
Gisterå, Anton, Anna-Karin L. Robertson, John Andersson, et al.. (2013). Transforming Growth Factor–β Signaling in T Cells Promotes Stabilization of Atherosclerotic Plaques Through an Interleukin-17–Dependent Pathway. Science Translational Medicine. 5(196). 196ra100–196ra100. 148 indexed citations
7.
Zhang, Lei, О. А. Овчинникова, P. Andreas Jonsson, et al.. (2012). The tryptophan metabolite 3-hydroxyanthranilic acid lowers plasma lipids and decreases atherosclerosis in hypercholesterolaemic mice. European Heart Journal. 33(16). 2025–2034. 86 indexed citations
8.
Hreggvidsdottir, Hulda S., et al.. (2012). HMGB1-partner molecule complexes enhance cytokine production by signaling through the partner molecule receptor. Annals of the Rheumatic Diseases. 71. A80–A80. 6 indexed citations
9.
Levin, Malin, Pernilla Jirholt, Maria E. Johansson, et al.. (2011). Rip2 Deficiency Leads to Increased Atherosclerosis Despite Decreased Inflammation. Circulation Research. 109(11). 1210–1218. 33 indexed citations
10.
Hreggvidsdottir, Hulda S., et al.. (2011). High Mobility Group Box Protein 1 (HMGB1)-Partner Molecule Complexes Enhance Cytokine Production by Signaling Through the Partner Molecule Receptor. Molecular Medicine. 18(2). 224–230. 89 indexed citations
11.
Lundberg, Anna M. & Zhong-qun Yan. (2011). Innate immune recognition receptors and damage-associated molecular patterns in plaque inflammation. Current Opinion in Lipidology. 22(5). 343–349. 19 indexed citations
12.
Sheikine, Yuri, Barbara Deodato, Peder S. Olofsson, et al.. (2010). Activation of VPAC1 receptors aggravates early atherosclerosis in hypercholesterolemic apolipoprotein E-deficient mice. Biochemical and Biophysical Research Communications. 402(3). 471–476. 4 indexed citations
13.
Lundberg, Anna M. & Göran K. Hansson. (2009). Innate immune signals in atherosclerosis. Clinical Immunology. 134(1). 5–24. 138 indexed citations
14.
15.
Sacre, Sandra, Evangelos Andreakos, Serafim Kiriakidis, et al.. (2007). The Toll-Like Receptor Adaptor Proteins MyD88 and Mal/TIRAP Contribute to the Inflammatory and Destructive Processes in a Human Model of Rheumatoid Arthritis. American Journal Of Pathology. 170(2). 518–525. 160 indexed citations
16.
Eriksson, Emma, Anna M. Lundberg, Tangbin Yang, et al.. (2007). Role of IRAK4 and IRF3 in the control of intracellular infection withChlamydia pneumoniae. Journal of Leukocyte Biology. 81(6). 1591–1598. 11 indexed citations
17.
Lundberg, Anna M., Stefan K. Drexler, Claudia Monaco, et al.. (2007). Key differences in TLR3/poly I:C signaling and cytokine induction by human primary cells: a phenomenon absent from murine cell systems. Blood. 110(9). 3245–3252. 128 indexed citations
18.
Heel, David A. van, Subrata Ghosh, Matt Butler, et al.. (2005). Muramyl dipeptide and toll-like receptor sensitivity in NOD2-associated Crohn's disease. The Lancet. 365(9473). 1794–1796. 249 indexed citations
19.
Akbar, Mohammed T., Anna M. Lundberg, Ke Liu, et al.. (2003). The Neuroprotective Effects of Heat Shock Protein 27 Overexpression in Transgenic Animals against Kainate-induced Seizures and Hippocampal Cell Death. Journal of Biological Chemistry. 278(22). 19956–19965. 122 indexed citations
20.
Feldmann, Marc, Evangelos Andreakos, Chris Smith, et al.. (2002). Is NF-κB a useful therapeutic target in rheumatoid arthritis?. Annals of the Rheumatic Diseases. 61. ii13–ii18. 75 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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