Åke Borg

56.4k total citations · 6 hit papers
275 papers, 18.7k citations indexed

About

Åke Borg is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Åke Borg has authored 275 papers receiving a total of 18.7k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Genetics, 115 papers in Molecular Biology and 97 papers in Cancer Research. Recurrent topics in Åke Borg's work include BRCA gene mutations in cancer (76 papers), Cancer Genomics and Diagnostics (71 papers) and Genomic variations and chromosomal abnormalities (49 papers). Åke Borg is often cited by papers focused on BRCA gene mutations in cancer (76 papers), Cancer Genomics and Diagnostics (71 papers) and Genomic variations and chromosomal abnormalities (49 papers). Åke Borg collaborates with scholars based in Sweden, United States and Denmark. Åke Borg's co-authors include Håkan Olsson, Markus Ringnér, Mårten Fernö, Johan Vallon‐Christersson, Lao H. Saal, Johan Staaf, Jorma Isola, Pär‐Ola Bendahl, Óskar Þór Jóhannsson and Helgi Sigurðsson and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Åke Borg

271 papers receiving 18.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-definition spatial transcriptomics for in situ tissue profiling

2019 705 citations Sanja Vicković, Gökçen Eraslan et al. Nature Methods profile →
PIK3CA Mutations Correlate with Hormone Receptors, Node Metastasis, and ERBB2, and Are Mutually Exclusive with PTEN Loss in Human Breast Carcinoma

2005 681 citations Lao H. Saal, Åke Borg et al. Cancer Research profile →
Recruitment of HIF-1α and HIF-2α to common target genes is differentially regulated in neuroblastoma: HIF-2α promotes an aggressive phenotype

2006 594 citations Johan Vallon‐Christersson, Åke Borg et al. profile →
Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns.

2001 540 citations Markus Ringnér, Lao H. Saal et al. profile →
Integrating spatial gene expression and breast tumour morphology via deep learning

2020 261 citations Bryan He, Ludvig Bergenstråhle et al. Nature Biomedical Engineering profile →
Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions

2021 205 citations Alma Andersson, Linnea Stenbeck et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Åke Borg	10.3k	6.9k	6.8k	5.1k	2.1k	275	18.7k
Rosette Lidereau	9.5k 0.9×	6.3k 0.9×	5.0k 0.7×	3.3k 0.6×	2.0k 0.9×	263	16.1k
Alexander Pergamenschikov	9.2k 0.9×	6.5k 0.9×	6.7k 1.0×	2.7k 0.5×	1.9k 0.9×	9	16.3k
Christian A. Rees	9.1k 0.9×	6.6k 0.9×	6.7k 1.0×	2.7k 0.5×	1.6k 0.8×	10	16.0k
Anne‐Lise Børresen‐Dale	14.8k 1.4×	10.9k 1.6×	12.4k 1.8×	4.5k 0.9×	2.8k 1.3×	190	26.0k
Adam B. Olshen	8.6k 0.8×	4.9k 0.7×	4.7k 0.7×	2.8k 0.6×	1.4k 0.7×	152	15.7k
Shirley Zhu	8.3k 0.8×	7.2k 1.0×	7.0k 1.0×	1.9k 0.4×	2.0k 1.0×	52	17.1k
Robert L. Sutherland	10.4k 1.0×	7.8k 1.1×	3.8k 0.6×	5.0k 1.0×	1.2k 0.6×	236	19.2k
Laura van ‘t Veer	7.9k 0.8×	5.1k 0.7×	5.9k 0.9×	3.0k 0.6×	1.5k 0.7×	200	14.6k
John A. Foekens	13.5k 1.3×	11.4k 1.6×	10.6k 1.6×	3.3k 0.6×	1.5k 0.7×	337	25.5k
Ivan Bièche	11.1k 1.1×	5.9k 0.8×	5.7k 0.8×	2.7k 0.5×	1.7k 0.8×	497	20.2k

Countries citing papers authored by Åke Borg

Since Specialization

Citations

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

Fields of papers citing papers by Åke Borg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Åke Borg

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

All Works

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20 of 20 papers shown

Saal, Lao H., Niklas Loman, Yilun Chen, et al.. (2024). Monitoring ctDNA dynamics in early breast cancer using a novel ultra-sensitive tumor-informed structural variant approach combining whole-genome sequencing and multiplex dPCR.. Journal of Clinical Oncology. 42(16_suppl). 568–568. 1 indexed citations

Silander, Gustav, Åke Borg, Jenny Pettersson, et al.. (2021). CDKN2A genetic testing in melanoma-prone families in Sweden in the years 2015–2020: implications for novel national recommendations. Acta Oncologica. 60(7). 888–896. 9 indexed citations

Dahlgren, Malin, Anthony M. George, Christian Brueffer, et al.. (2021). Preexisting Somatic Mutations of Estrogen Receptor Alpha (ESR1) in Early-Stage Primary Breast Cancer. JNCI Cancer Spectrum. 5(2). 16 indexed citations

Brueffer, Christian, Christof Winter, Johan Vallon‐Christersson, et al.. (2020). The mutational landscape of the SCAN ‐B real‐world primary breast cancer transcriptome. EMBO Molecular Medicine. 12(10). e12118–e12118. 42 indexed citations

He, Bryan, Ludvig Bergenstråhle, Linnea Stenbeck, et al.. (2020). Integrating spatial gene expression and breast tumour morphology via deep learning. Nature Biomedical Engineering. 4(8). 827–834. 261 indexed citations breakdown →

Persson, Helena, Rolf Søkilde, Jari Häkkinen, et al.. (2020). Analysis of fusion transcripts indicates widespread deregulation of snoRNAs and their host genes in breast cancer. International Journal of Cancer. 146(12). 3343–3353. 10 indexed citations

Kharaziha, Pedram, Sophia Ceder, Stefanie Böhm, et al.. (2019). Functional characterization of novel germline TP53 variants in Swedish families. Clinical Genetics. 96(3). 216–225. 9 indexed citations

Vicković, Sanja, Gökçen Eraslan, Fredrik Salmén, et al.. (2019). High-definition spatial transcriptomics for in situ tissue profiling. Nature Methods. 16(10). 987–990. 705 indexed citations breakdown →

Augustinsson, Annelie, Carolina Ellberg, Ulf Kristoffersson, Åke Borg, & Håkan Olsson. (2017). Accuracy of self-reported family history of cancer, mutation status and tumor characteristics in patients with early onset breast cancer. Acta Oncologica. 57(5). 595–603. 17 indexed citations

10.

Harbst, Katja, Martin Lauss, Helena Cirenajwis, et al.. (2016). Multiregion Whole-Exome Sequencing Uncovers the Genetic Evolution and Mutational Heterogeneity of Early-Stage Metastatic Melanoma. Cancer Research. 76(16). 4765–4774. 77 indexed citations

11.

Rak, Justyna, Katie Foster, Therese Törngren, et al.. (2016). Cytohesin 1 regulates homing and engraftment of human hematopoietic stem and progenitor cells. Blood. 129(8). 950–958. 19 indexed citations

12.

Augsten, Martin, Elin Sjöberg, Oliver Frings, et al.. (2014). Cancer-Associated Fibroblasts Expressing CXCL14 Rely upon NOS1-Derived Nitric Oxide Signaling for Their Tumor-Supporting Properties. Cancer Research. 74(11). 2999–3010. 116 indexed citations

13.

Karlsson, Anna, Mats Jönsson, Martin Lauss, et al.. (2014). Genome-wide DNA Methylation Analysis of Lung Carcinoma Reveals One Neuroendocrine and Four Adenocarcinoma Epitypes Associated with Patient Outcome. Clinical Cancer Research. 20(23). 6127–6140. 82 indexed citations

14.

Dahl, Christina, Claus Christensen, Göran Jönsson, et al.. (2013). Mutual Exclusivity Analysis of Genetic and Epigenetic Drivers in Melanoma Identifies a Link Between p14ARF and RARβ Signaling. Molecular Cancer Research. 11(10). 1166–1178. 21 indexed citations

15.

Harbst, Katja, Johan Staaf, Martin Lauss, et al.. (2012). Molecular Profiling Reveals Low- and High-Grade Forms of Primary Melanoma. Clinical Cancer Research. 18(15). 4026–4036. 72 indexed citations

16.

Persson, Helena, Anders Kvist, Natalia Rego, et al.. (2011). Identification of New MicroRNAs in Paired Normal and Tumor Breast Tissue Suggests a Dual Role for the ERBB2/Her2 Gene. Cancer Research. 71(1). 78–86. 158 indexed citations

17.

Jönsson, Göran, Christian Busch, Stian Knappskog, et al.. (2010). Gene Expression Profiling–Based Identification of Molecular Subtypes in Stage IV Melanomas with Different Clinical Outcome. Clinical Cancer Research. 16(13). 3356–3367. 189 indexed citations

18.

Gruvberger-Saal, Sofia K., Pär‐Ola Bendahl, Lao H. Saal, et al.. (2007). Estrogen Receptor β Expression Is Associated with Tamoxifen Response in ERα-Negative Breast Carcinoma. Clinical Cancer Research. 13(7). 1987–1994. 154 indexed citations

19.

Gruvberger-Saal, Sofia K., Patrik Edén, Markus Ringnér, et al.. (2004). Predicting continuous values of prognostic markers in breast cancer from microarray gene expression profiles. Molecular Cancer Therapeutics. 3(2). 161–168. 25 indexed citations

20.

Arver, Brita, Åke Borg, & Annika Lindblom. (2001). First BRCA1 and BRCA2 Gene Testing Implemented in the Health Care System of Stockholm. Genetic Testing. 5(1). 1–8. 10 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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