Åsa K. Björklund

13.3k total citations · 5 hit papers
42 papers, 8.1k citations indexed

About

Åsa K. Björklund is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Åsa K. Björklund has authored 42 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Åsa K. Björklund's work include Single-cell and spatial transcriptomics (13 papers), Genomics and Phylogenetic Studies (7 papers) and IL-33, ST2, and ILC Pathways (4 papers). Åsa K. Björklund is often cited by papers focused on Single-cell and spatial transcriptomics (13 papers), Genomics and Phylogenetic Studies (7 papers) and IL-33, ST2, and ILC Pathways (4 papers). Åsa K. Björklund collaborates with scholars based in Sweden, United States and Austria. Åsa K. Björklund's co-authors include Rickard Sandberg, Simone Picelli, Sven Sagasser, Gösta Winberg, Omid R. Faridani, Arne Elofsson, Diana Ekman, Sara Light, Björn Reinius and Jenny Mjösberg and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Åsa K. Björklund

42 papers receiving 8.1k citations

Hit Papers

Full-length RNA-seq from single cells using Smart-seq2 2013 2026 2017 2021 2014 2013 2018 2014 2016 500 1000 1.5k 2.0k
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.

  1. Full-length RNA-seq from single cells using Smart-seq2
    2014 2.5k citations Simone Picelli, Omid R. Faridani et al. Nature Protocols profile →
  2. Smart-seq2 for sensitive full-length transcriptome profiling in single cells
    2013 1.6k citations Simone Picelli, Åsa K. Björklund et al. profile →
  3. Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing
    2018 561 citations Michael Bartoschek, Nikolay Oskolkov et al. Nature Communications profile →
  4. Tn5 transposase and tagmentation procedures for massively scaled sequencing projects
    2014 532 citations Simone Picelli, Åsa K. Björklund et al. Genome Research profile →
  5. The heterogeneity of human CD127+ innate lymphoid cells revealed by single-cell RNA sequencing
    2016 368 citations Åsa K. Björklund, Simone Picelli et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Åsa K. Björklund Sweden 30 5.5k 2.0k 1.2k 884 591 42 8.1k
Simone Picelli Sweden 17 4.6k 0.8× 1.5k 0.8× 1.2k 1.0× 619 0.7× 912 1.5× 27 6.8k
Tim Stuart United States 14 7.4k 1.3× 3.2k 1.6× 1.7k 1.4× 1.5k 1.7× 585 1.0× 18 11.4k
Peter Laslo United States 17 7.4k 1.3× 2.0k 1.0× 1.3k 1.1× 757 0.9× 393 0.7× 20 9.9k
Itay Tirosh Israel 34 8.0k 1.4× 1.8k 0.9× 2.2k 1.8× 1.9k 2.1× 308 0.5× 65 10.7k
Marlon Stoeckius United States 18 7.9k 1.4× 3.5k 1.8× 1.8k 1.5× 1.6k 1.8× 539 0.9× 22 11.7k
Paul Robson United States 45 8.1k 1.5× 1.1k 0.6× 1.3k 1.0× 967 1.1× 903 1.5× 89 10.3k
Omid R. Faridani Sweden 15 5.2k 0.9× 1.4k 0.7× 1.6k 1.3× 721 0.8× 201 0.3× 21 6.7k
Yin C. Lin United States 17 7.6k 1.4× 2.3k 1.2× 1.3k 1.1× 885 1.0× 407 0.7× 34 10.1k
Jeanne F. Loring United States 49 7.1k 1.3× 1.1k 0.5× 1.1k 0.9× 593 0.7× 589 1.0× 121 9.9k
Aaron T. L. Lun Australia 31 4.7k 0.9× 1.4k 0.7× 1.1k 0.9× 514 0.6× 263 0.4× 44 6.3k

Countries citing papers authored by Åsa K. Björklund

Since Specialization
Citations

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

Fields of papers citing papers by Åsa K. Björklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Åsa K. Björklund. 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 Åsa K. Björklund. The network helps show where Åsa K. Björklund may publish in the future.

Co-authorship network of co-authors of Åsa K. Björklund

This figure shows the co-authorship network connecting the top 25 collaborators of Åsa K. Björklund. A scholar is included among the top collaborators of Åsa K. Björklund 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 Åsa K. Björklund. Åsa K. Björklund 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.
Paterlini, Marta, Margherita Zamboni, Christoph Ziegenhain, et al.. (2025). Identification of proliferating neural progenitors in the adult human hippocampus. Science. 389(6755). 58–63. 8 indexed citations
2.
Ramachandran, Mohanraj, Tanja Lövgren, Claudio Mirabello, et al.. (2023). Single-Cell RNA Analysis Reveals Cell-Intrinsic Functions of CAR T Cells Correlating with Response in a Phase II Study of Lymphoma Patients. Clinical Cancer Research. 29(20). 4139–4152. 8 indexed citations
3.
Sylvén, Christer, Eva Wärdell, Agneta Månsson‐Broberg, et al.. (2022). High cardiomyocyte diversity in human early prenatal heart development. iScience. 26(1). 105857–105857. 8 indexed citations
4.
Mazzurana, Luca, Paulo Czarnewski, Viktor Jönsson, et al.. (2021). Tissue-specific transcriptional imprinting and heterogeneity in human innate lymphoid cells revealed by full-length single-cell RNA-sequencing. Cell Research. 31(5). 554–568. 117 indexed citations
5.
Artemov, Artem V., Annika Reinhardt, Sebastian Ols, et al.. (2021). Limited access to antigen drives generation of early B cell memory while restraining the plasmablast response. Immunity. 54(9). 2005–2023.e10. 58 indexed citations
6.
Tiklová, Katarína, Sara Nolbrant, Alessandro Fiorenzano, et al.. (2020). Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease. Nature Communications. 11(1). 2434–2434. 74 indexed citations
7.
Wallén‐Mackenzie, Åsa, et al.. (2020). Spatio-molecular domains identified in the mouse subthalamic nucleus and neighboring glutamatergic and GABAergic brain structures. Communications Biology. 3(1). 34 indexed citations
8.
Klimovich, Alexander, Stefania Giacomello, Åsa K. Björklund, et al.. (2020). Prototypical pacemaker neurons interact with the resident microbiota. Proceedings of the National Academy of Sciences. 117(30). 17854–17863. 37 indexed citations
9.
Hård, Joanna, Åsa K. Björklund, Bengt Sennblad, et al.. (2019). Conbase: a software for unsupervised discovery of clonal somatic mutations in single cells through read phasing. Genome biology. 20(1). 68–68. 17 indexed citations
10.
Bartoschek, Michael, Nikolay Oskolkov, Matteo Bocci, et al.. (2018). Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing. Nature Communications. 9(1). 5150–5150. 561 indexed citations breakdown →
11.
Klum, Susanne, Zhanna Alekseenko, Åsa K. Björklund, et al.. (2018). Sequentially acting SOX proteins orchestrate astrocyte‐ and oligodendrocyte‐specific gene expression. EMBO Reports. 19(11). 39 indexed citations
12.
Ngara, Mtakai, Sven Sagasser, Daisy Hjelmqvist, et al.. (2018). Exploring parasite heterogeneity using single-cell RNA-seq reveals a gene signature among sexual stage Plasmodium falciparum parasites. Experimental Cell Research. 371(1). 130–138. 21 indexed citations
13.
Södersten, Erik, Vilma Rraklli, Katarína Tiklová, et al.. (2018). A comprehensive map coupling histone modifications with gene regulation in adult dopaminergic and serotonergic neurons. Nature Communications. 9(1). 1226–1226. 32 indexed citations
14.
Picelli, Simone, Omid R. Faridani, Åsa K. Björklund, et al.. (2014). Full-length RNA-seq from single cells using Smart-seq2. Nature Protocols. 9(1). 171–181. 2473 indexed citations breakdown →
15.
Picelli, Simone, Åsa K. Björklund, Björn Reinius, et al.. (2014). Tn5 transposase and tagmentation procedures for massively scaled sequencing projects. Genome Research. 24(12). 2033–2040. 532 indexed citations breakdown →
16.
Abdullayev, Ilgar, Matthew Kirkham, Åsa K. Björklund, András Simon, & Rickard Sandberg. (2013). A reference transcriptome and inferred proteome for the salamander Notophthalmus viridescens. Experimental Cell Research. 319(8). 1187–1197. 41 indexed citations
17.
Björklund, Åsa K., et al.. (2008). Quantitative assessment of the structural bias in protein–protein interaction assays. PROTEOMICS. 8(22). 4657–4667. 19 indexed citations
18.
Ekman, Diana, Sara Light, Åsa K. Björklund, & Arne Elofsson. (2006). What properties characterize the hub proteins of the protein-protein interaction network of Saccharomyces cerevisiae?. Genome biology. 7(6). R45–R45. 297 indexed citations
19.
Soeria‐Atmadja, Daniel, Mikael Wallman, Åsa K. Björklund, et al.. (2005). External cross‐validation for unbiased evaluation of protein family detectors: Application to allergens. Proteins Structure Function and Bioinformatics. 61(4). 918–925. 6 indexed citations
20.
Björklund, Åsa K., et al.. (2005). Domain Rearrangements in Protein Evolution. Journal of Molecular Biology. 353(4). 911–923. 144 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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