Björn Önfelt

6.1k total citations · 1 hit paper
98 papers, 4.7k citations indexed

About

Björn Önfelt is a scholar working on Immunology, Oncology and Biomedical Engineering. According to data from OpenAlex, Björn Önfelt has authored 98 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Immunology, 34 papers in Oncology and 30 papers in Biomedical Engineering. Recurrent topics in Björn Önfelt's work include Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (29 papers) and CAR-T cell therapy research (23 papers). Björn Önfelt is often cited by papers focused on Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (29 papers) and CAR-T cell therapy research (23 papers). Björn Önfelt collaborates with scholars based in Sweden, United Kingdom and United States. Björn Önfelt's co-authors include Daniel M. Davis, Per Lincoln, Bengt Nordén, Shlomo Nedvetzki, Martin Wiklund, Stefanie Sowinski, Marco A. Purbhoo, Bruno Vanherberghen, Kumiko Yanagi and Johan Olofsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Björn Önfelt

95 papers receiving 4.6k citations

Hit Papers

Membrane nanotubes physically connect T cells over long d... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Björn Önfelt
Kathryn E. Luker United States
Morgan Huse United States
Paul J. Utz United States
Seth T. Gammon United States
Gavin MacBeath United States
Diane S. Lidke United States
Kathryn E. Luker United States
Björn Önfelt
Citations per year, relative to Björn Önfelt Björn Önfelt (= 1×) peers Kathryn E. Luker

Countries citing papers authored by Björn Önfelt

Since Specialization
Citations

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

Fields of papers citing papers by Björn Önfelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Björn Önfelt

This figure shows the co-authorship network connecting the top 25 collaborators of Björn Önfelt. A scholar is included among the top collaborators of Björn Önfelt 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 Björn Önfelt. Björn Önfelt 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.
Guldevall, Karolin, Patrick A. Sandoz, Valentina Carannante, et al.. (2025). CD16A Shedding Regulates Innate Cell Engager‐Induced Serial Killing by Natural Killer Cells. European Journal of Immunology. 55(10). e70078–e70078.
2.
Gaballa, Ahmed, Lucas C. M. Arruda, Sören Lehmann, et al.. (2024). Selective lysis of acute myeloid leukemia cells by CD34/CD3 bispecific antibody through the activation of γδ T-cells. OncoImmunology. 13(1). 2379063–2379063.
3.
Sandoz, Patrick A., Sarah Thunberg, Elina Erikson, et al.. (2023). Modulation of lytic molecules restrain serial killing in γδ T lymphocytes. Nature Communications. 14(1). 6035–6035. 10 indexed citations
4.
Carannante, Valentina, Niklas Sandström, Karl Olofsson, et al.. (2023). Generation of tumor spheroids in microwells to study NK cell cytotoxicity, infiltration and phenotype. Methods in cell biology. 178. 195–208. 1 indexed citations
5.
Sandström, Niklas, et al.. (2022). Live single cell imaging assays in glass microwells produced by laser-induced deep etching. Lab on a Chip. 22(11). 2107–2121. 8 indexed citations
6.
Verron, Quentin, et al.. (2021). NK cells integrate signals over large areas when building immune synapses but require local stimuli for degranulation. Science Signaling. 14(684). 12 indexed citations
7.
Guldevall, Karolin, Paul K.J.D. de Jonge, Janneke S. Hoogstad‐van Evert, et al.. (2020). IL-15 superagonist N-803 improves IFNγ production and killing of leukemia and ovarian cancer cells by CD34+ progenitor-derived NK cells. Cancer Immunology Immunotherapy. 70(5). 1305–1321. 33 indexed citations
8.
Carannante, Valentina, et al.. (2020). High-Resolution Imaging of Tumor Spheroids and Organoids Enabled by Expansion Microscopy. Frontiers in Molecular Biosciences. 7. 208–208. 27 indexed citations
9.
Olofsson, Per, et al.. (2019). A collagen-based microwell migration assay to study NK-target cell interactions. Scientific Reports. 9(1). 10672–10672. 11 indexed citations
10.
Oei, Vincent Yi Sheng, Marta Siernicka, Agnieszka Graczyk‐Jarzynka, et al.. (2018). Intrinsic Functional Potential of NK-Cell Subsets Constrains Retargeting Driven by Chimeric Antigen Receptors. Cancer Immunology Research. 6(4). 467–480. 91 indexed citations
11.
Walwyn-Brown, Katherine, Karolin Guldevall, Mezida B. Saeed, et al.. (2018). Human NK Cells Lyse Th2-Polarizing Dendritic Cells via NKp30 and DNAM-1. The Journal of Immunology. 201(7). 2028–2041. 18 indexed citations
12.
Srpan, Katja, Ashley Ambrose, Mezida B. Saeed, et al.. (2018). Shedding of CD16 disassembles the NK cell immune synapse and boosts serial engagement of target cells. The Journal of Cell Biology. 217(9). 3267–3283. 113 indexed citations
13.
Carannante, Valentina, et al.. (2017). Laboratory cryo x-ray microscopy for 3D cell imaging. Scientific Reports. 7(1). 13433–13433. 34 indexed citations
14.
Goodridge, Jodie P., Björn Önfelt, & Karl‐Johan Malmberg. (2015). Newtonian cell interactions shape natural killer cell education. Immunological Reviews. 267(1). 197–213. 49 indexed citations
15.
Perisic, Ljubica, Mark Lal, Kjell Hultenby, et al.. (2012). Plekhh2, a novel podocyte protein downregulated in human focal segmental glomerulosclerosis, is involved in matrix adhesion and actin dynamics. Kidney International. 82(10). 1071–1083. 18 indexed citations
16.
Wiklund, Martin & Björn Önfelt. (2012). Ultrasonic Manipulation of Single Cells. Methods in molecular biology. 853. 177–196. 11 indexed citations
17.
Khorshidi, Mohammad Ali, Bruno Vanherberghen, Jacob M. Kowalewski, et al.. (2011). Analysis of transient migration behavior of natural killer cells imaged in situ and in vitro. Integrative Biology. 3(7). 770–770. 32 indexed citations
18.
Önfelt, Björn, Shlomo Nedvetzki, Kumiko Yanagi, & Daniel M. Davis. (2004). Cutting Edge: Membrane Nanotubes Connect Immune Cells. The Journal of Immunology. 173(3). 1511–1513. 297 indexed citations
19.
Olofsson, Johan, Björn Önfelt, Per Lincoln, et al.. (2002). Picosecond Kerr-gated time-resolved resonance Raman spectroscopy of the [Ru(phen)2dppz]2+ interaction with DNA. Journal of Inorganic Biochemistry. 91(1). 286–297. 35 indexed citations
20.
Tuite, Eimer, Per Lincoln, H.-D. Becker, et al.. (2000). Probing DNA Conductivity with Photoinduced Electron Transfer and Scanning Tunneling Microscopy. Journal of Biomolecular Structure and Dynamics. 17(sup1). 277–283. 5 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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