Tanja I. Näslund

4.0k total citations · 2 hit papers
17 papers, 3.3k citations indexed

About

Tanja I. Näslund is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Tanja I. Näslund has authored 17 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 13 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Tanja I. Näslund's work include Immunotherapy and Immune Responses (11 papers), Extracellular vesicles in disease (10 papers) and Immune Cell Function and Interaction (6 papers). Tanja I. Näslund is often cited by papers focused on Immunotherapy and Immune Responses (11 papers), Extracellular vesicles in disease (10 papers) and Immune Cell Function and Interaction (6 papers). Tanja I. Näslund collaborates with scholars based in Sweden, United Kingdom and France. Tanja I. Näslund's co-authors include Peter Liljeström, Caetano Reis e Sousa, Oliver Schulz, Choon Ping Tan, Friedemann Weber, Andreas Pichlmair, Susanne Gabrielsson, Margaret Chen, Ulf Gehrmann and Sandra S. Diebold and has published in prestigious journals such as Nature, Science and The Journal of Immunology.

In The Last Decade

Tanja I. Näslund

15 papers receiving 3.2k citations

Hit Papers

RIG-I-Mediated Antiviral Responses to Single-Stranded RNA... 2005 2026 2012 2019 2006 2005 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja I. Näslund Sweden 12 2.4k 1.5k 797 493 456 17 3.3k
Takashi Natsukawa Japan 6 2.7k 1.1× 1.1k 0.8× 703 0.9× 534 1.1× 359 0.8× 8 3.2k
Krzysztof Brzózka Poland 12 2.2k 0.9× 1.3k 0.9× 865 1.1× 807 1.6× 256 0.6× 44 3.4k
Noriaki Shinobu Japan 5 2.7k 1.1× 1.1k 0.8× 708 0.9× 535 1.1× 384 0.8× 9 3.3k
Leonie Unterholzner United Kingdom 16 3.0k 1.2× 2.3k 1.6× 925 1.2× 774 1.6× 262 0.6× 19 4.4k
Søren B. Jensen Denmark 13 2.6k 1.1× 1.3k 0.9× 811 1.0× 800 1.6× 165 0.4× 13 3.2k
Suzanne L. Epstein United States 28 2.2k 0.9× 891 0.6× 2.1k 2.6× 583 1.2× 401 0.9× 70 3.7k
Thomas Zillinger Germany 18 2.5k 1.0× 1.5k 1.0× 300 0.4× 1.0k 2.1× 149 0.3× 34 3.1k
Nelly A. Kuklin United States 26 1.4k 0.6× 560 0.4× 588 0.7× 414 0.8× 136 0.3× 38 2.4k
Luis J. Sigal United States 29 2.4k 1.0× 936 0.6× 793 1.0× 320 0.6× 86 0.2× 73 3.3k
Martin R. Jakobsen Denmark 27 2.1k 0.9× 1.3k 0.9× 542 0.7× 806 1.6× 133 0.3× 70 3.0k

Countries citing papers authored by Tanja I. Näslund

Since Specialization
Citations

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

Fields of papers citing papers by Tanja I. Näslund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanja I. Näslund. 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 Tanja I. Näslund. The network helps show where Tanja I. Näslund may publish in the future.

Co-authorship network of co-authors of Tanja I. Näslund

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

All Works

17 of 17 papers shown
1.
Wagner, Arnika Kathleen, Ulf Gehrmann, Stefanie Hiltbrunner, et al.. (2021). Soluble and Exosome-Bound α-Galactosylceramide Mediate Preferential Proliferation of Educated NK Cells with Increased Anti-Tumor Capacity. Cancers. 13(2). 298–298. 5 indexed citations
2.
Wahlund, Casper J.E., et al.. (2017). Exosomes from antigen-pulsed dendritic cells induce stronger antigen-specific immune responses than microvesicles in vivo. Scientific Reports. 7(1). 131 indexed citations
3.
Gehrmann, Ulf, Tanja I. Näslund, Stefanie Hiltbrunner, Pia Larssen, & Susanne Gabrielsson. (2014). Harnessing the exosome-induced immune response for cancer immunotherapy. Seminars in Cancer Biology. 28. 58–67. 103 indexed citations
4.
Gehrmann, Ulf, Stefanie Hiltbrunner, Anna‐Maria Georgoudaki, et al.. (2013). Synergistic Induction of Adaptive Antitumor Immunity by Codelivery of Antigen with α-Galactosylceramide on Exosomes. Cancer Research. 73(13). 3865–3876. 111 indexed citations
5.
Gehrmann, Ulf, Stefanie Hiltbrunner, Tanja I. Näslund, & Susanne Gabrielsson. (2013). Potentiating antitumor immunity with αGC-loaded exosomes. OncoImmunology. 2(10). e26261–e26261. 12 indexed citations
6.
Näslund, Tanja I., Ulf Gehrmann, & Susanne Gabrielsson. (2013). Cancer immunotherapy with exosomes requires B-cell activation. OncoImmunology. 2(6). e24533–e24533. 18 indexed citations
7.
Näslund, Tanja I., Dominic Paquin‐Proulx, Patricia Torregrosa Paredes, et al.. (2013). Exosomes from breast milk inhibit HIV-1 infection of dendritic cells and subsequent viral transfer to CD4+ T cells. AIDS. 28(2). 171–180. 147 indexed citations
8.
Näslund, Tanja I., Ulf Gehrmann, Khaleda Rahman Qazi, Mikael C. I. Karlsson, & Susanne Gabrielsson. (2013). Dendritic Cell–Derived Exosomes Need To Activate Both T and B Cells To Induce Antitumor Immunity. The Journal of Immunology. 190(6). 2712–2719. 169 indexed citations
9.
Näslund, Tanja I., et al.. (2013). Dendritic cell derived exosomes need to activate both T and B cells to induce antitumor immunity (P4250). The Journal of Immunology. 190(Supplement_1). 47.13–47.13. 1 indexed citations
10.
Gabrielsson, Susanne, et al.. (2012). Exosomes loaded with {alpha}-galactosylceramide amplify antitumor immunity via iNKT cells. The Journal of Immunology. 188.
11.
Gabrielsson, Susanne, Ulf Gehrmann, Stefanie Hiltbrunner, Mikael C. I. Karlsson, & Tanja I. Näslund. (2012). Exosomes loaded with α-galactosylceramide amplify antitumor immunity via iNKT cells (75.5). The Journal of Immunology. 188(1_Supplement). 75.5–75.5.
12.
Näslund, Tanja I., et al.. (2011). Role of innate signalling pathways in the immunogenicity of alphaviral replicon-based vaccines. Virology Journal. 8(1). 36–36. 25 indexed citations
13.
Näslund, Tanja I., Catherine Uyttenhove, Eva Nordström, et al.. (2007). Comparative Prime-Boost Vaccinations Using Semliki Forest Virus, Adenovirus, and ALVAC Vectors Demonstrate Differences in the Generation of a Protective Central Memory CTL Response against the P815 Tumor. The Journal of Immunology. 178(11). 6761–6769. 53 indexed citations
14.
Pichlmair, Andreas, Oliver Schulz, Choon Ping Tan, et al.. (2006). RIG-I-Mediated Antiviral Responses to Single-Stranded RNA Bearing 5'-Phosphates. Science. 314(5801). 997–1001. 1771 indexed citations breakdown →
15.
Schulz, Oliver, Sandra S. Diebold, Margaret Chen, et al.. (2005). Toll-like receptor 3 promotes cross-priming to virus-infected cells. Nature. 433(7028). 887–892. 723 indexed citations breakdown →
16.
Chen, Margaret, Christina Barnfield, Tanja I. Näslund, Marina N. Fleeton, & Peter Liljeström. (2005). MyD88 Expression Is Required for Efficient Cross-Presentation of Viral Antigens from Infected Cells. Journal of Virology. 79(5). 2964–2972. 34 indexed citations
17.
Bennet, Anna M., Tanja I. Näslund, Ralf Morgenstern, & Ulf dé Fairé. (2001). Bioinformatic and experimental tools for identification of single‐nucleotide polymorphisms in genes with a potential role for the development of the insulin resistance syndrome. Journal of Internal Medicine. 249(2). 127–136. 2 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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