Peter Åkerblad

1.4k total citations
19 papers, 781 citations indexed

About

Peter Åkerblad is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Peter Åkerblad has authored 19 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Oncology. Recurrent topics in Peter Åkerblad's work include T-cell and B-cell Immunology (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Peter Åkerblad is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Peter Åkerblad collaborates with scholars based in Sweden, United States and Panama. Peter Åkerblad's co-authors include Mikael Sigvardsson, Evan D. Rosen, M. Ángeles Jiménez, Tomas Leanderson, Tom Kadesch, Emma Smith, Caroline Améen, Sona Kang, Riku Kiviranta and Jan Oscarsson and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

In The Last Decade

Peter Åkerblad

19 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Åkerblad Sweden 15 395 214 196 177 87 19 781
Andre Broermann Germany 12 458 1.2× 237 1.1× 96 0.5× 145 0.8× 100 1.1× 15 945
Alyssa Charrier United States 14 586 1.5× 103 0.5× 124 0.6× 217 1.2× 79 0.9× 18 891
Э. М. Тарарак Russia 13 469 1.2× 338 1.6× 117 0.6× 153 0.9× 38 0.4× 30 1.0k
Shilpa M. Hattangadi United States 7 451 1.1× 65 0.3× 428 2.2× 111 0.6× 51 0.6× 13 832
Richard T. Hogg United States 13 422 1.1× 171 0.8× 200 1.0× 164 0.9× 179 2.1× 17 987
Lei Gong China 16 259 0.7× 165 0.8× 82 0.4× 79 0.4× 159 1.8× 38 679
Radiance Lim Singapore 8 511 1.3× 119 0.6× 94 0.5× 55 0.3× 77 0.9× 9 765
Chenzhong Fu United States 10 374 0.9× 129 0.6× 84 0.4× 41 0.2× 43 0.5× 11 733
Rajat M. Gupta United States 10 452 1.1× 314 1.5× 57 0.3× 94 0.5× 49 0.6× 25 878
Liesbeth P. Verhagen Netherlands 10 283 0.7× 127 0.6× 118 0.6× 128 0.7× 53 0.6× 13 632

Countries citing papers authored by Peter Åkerblad

Since Specialization
Citations

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

Fields of papers citing papers by Peter Åkerblad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Åkerblad

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

All Works

19 of 19 papers shown
1.
Ghallab, Ahmed, Ute Hofmann, Maiju Myllys, et al.. (2023). Inhibition of the renal apical sodium-dependent bile acid transporter prevents cholemic nephropathy. Journal of Hepatology. 78. S940–S941. 3 indexed citations
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Jansson, Maria, Anna Backmark, Alan Sabirsh, et al.. (2020). A high-content, in vitro cardiac fibrosis assay for high-throughput, phenotypic identification of compounds with anti-fibrotic activity. Journal of Molecular and Cellular Cardiology. 142. 105–117. 16 indexed citations
5.
Belorusova, Anna Y., Emma Evertsson, Jenny Sandmark, et al.. (2019). Structural analysis identifies an escape route from the adverse lipogenic effects of liver X receptor ligands. Communications Biology. 2(1). 431–431. 22 indexed citations
6.
Ding, Mei, Alleyn T. Plowright, Ola Engkvist, et al.. (2018). High-content phenotypic assay for proliferation of human iPSC-derived cardiomyocytes identifies L-type calcium channels as targets. Journal of Molecular and Cellular Cardiology. 127. 204–214. 21 indexed citations
7.
Kang, Sona, Peter Åkerblad, Riku Kiviranta, et al.. (2012). Regulation of Early Adipose Commitment by Zfp521. PLoS Biology. 10(11). e1001433–e1001433. 108 indexed citations
8.
Månsson, Robert, et al.. (2007). The Cxcl12, Periostin, and Ccl9 Genes Are Direct Targets for Early B-cell Factor in OP-9 Stroma Cells. Journal of Biological Chemistry. 282(19). 14454–14462. 25 indexed citations
9.
Jiménez, M. Ángeles, Peter Åkerblad, Mikael Sigvardsson, & Evan D. Rosen. (2006). Critical Role for Ebf1 and Ebf2 in the Adipogenic Transcriptional Cascade. Molecular and Cellular Biology. 27(2). 743–757. 175 indexed citations
10.
Smith, Emma, Peter Åkerblad, Tom Kadesch, Håkan Axelson, & Mikael Sigvardsson. (2005). Inhibition of EBF function by active Notch signaling reveals a novel regulatory pathway in early B-cell development. Blood. 106(6). 1995–2001. 47 indexed citations
11.
Åkerblad, Peter, Robert Månsson, Ulrika Lind, et al.. (2005). Gene expression analysis suggests that EBF-1 and PPARγ2 induce adipogenesis of NIH-3T3 cells with similar efficiency and kinetics. Physiological Genomics. 23(2). 206–216. 52 indexed citations
12.
Améen, Caroline, Ulrika Edvardsson, Anna Ljungberg, et al.. (2004). Activation of Peroxisome Proliferator-activated Receptor α Increases the Expression and Activity of Microsomal Triglyceride Transfer Protein in the Liver. Journal of Biological Chemistry. 280(2). 1224–1229. 110 indexed citations
13.
Zhao, Fang, Ruth McCarrick-Walmsley, Peter Åkerblad, Mikael Sigvardsson, & Tom Kadesch. (2003). Inhibition of p300/CBP by Early B-Cell Factor. Molecular and Cellular Biology. 23(11). 3837–3846. 41 indexed citations
14.
Erlandsson, Lena, Peter Åkerblad, Carina Vingsbo Lundberg, et al.. (2001). Joining Chain–Expressing and–Nonexpressing B Cell Populations in the Mouse. The Journal of Experimental Medicine. 194(5). 557–570. 20 indexed citations
15.
Åkerblad, Peter & Mikael Sigvardsson. (1999). Early B Cell Factor Is an Activator of the B Lymphoid Kinase Promoter in Early B Cell Development. The Journal of Immunology. 163(10). 5453–5461. 28 indexed citations
16.
Gisler, Ramiro, Peter Åkerblad, & Mikael Sigvardsson. (1999). A human early B-cell factor-like protein participates in the regulation of the human CD19 promoter. Molecular Immunology. 36(15-16). 1067–1077. 21 indexed citations
17.
Åkerblad, Peter, et al.. (1999). The B29 (Immunoglobulin β-Chain) Gene Is a Genetic Target for Early B-Cell Factor. Molecular and Cellular Biology. 19(1). 392–401. 56 indexed citations
18.
Åkerblad, Peter, Mikael Sigvardsson, & Tomas Leanderson. (1996). Early B‐Cell Factor (EBF) Down‐Regulates Immunoglobulin Heavy Chain Intron Enhancer Function in a Plasmacytoma Cell Line. Scandinavian Journal of Immunology. 44(1). 89–92. 9 indexed citations
19.
Sigvardsson, Mikael, Peter Åkerblad, & Tomas Leanderson. (1996). Early B cell factor interacts with a subset of kappa promoters. The Journal of Immunology. 156(10). 3788–3796. 22 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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