Tanja I. Näslund

4.0k citations
17 papers · 3.3k indexed · 2 hit papers · h-index 12
Topics
Immunotherapy and Immune Responses (11 papers)Extracellular vesicles in disease (10 papers)Immune Cell Function and Interaction (6 papers)

In The Last Decade

Tanja I. Näslund

15 papers receiving 3.2k citations

Hit Papers

RIG-I-Mediated Antiviral Responses to Single-Stranded RNA...20052026201220192006200550010001.5k

Peers

Tanja I. Näslund
Comparison fields: 5 of 90
  • Immunology 2.4k
  • Molecular Biology 1.5k
  • Epidemiology 797
  • Infectious Diseases 493
  • Cancer Research 456
Replace Takashi Natsukawa with:
Takashi Natsukawa Japan
Noriaki Shinobu Japan
Leonie Unterholzner United Kingdom
Søren B. Jensen Denmark
Krzysztof Brzózka Poland
Suzanne L. Epstein United States
Nelly A. Kuklin United States
Thomas Zillinger Germany
Agnès Le Bon France
Uzma Hasan France
Tanja I. Näslund relative to Takashi Natsukawa Japan Takashi Natsukawa's profile →
Citations per field
00.5×1.6×
Takashi Natsukawa · 1×
Citations per year

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
#WorkIndexed citations
1 5
2 131
3 103
4 111
5 147
6 12
7 18
8 1
9 169
10 0
11
Exosomes loaded with {alpha}-galactosylceramide amplify antitumor immunity via iNKT cells
0
12 25
13 53
14
RIG-I-Mediated Antiviral Responses to Single-Stranded RNA Bearing 5'-Phosphatesbreakdown →
1771
15
Toll-like receptor 3 promotes cross-priming to virus-infected cellsbreakdown →
723
16 34
17 2

About Tanja I. Näslund

Tanja I. Näslund is a scholar working on Immunology, Virology and Molecular Biology, having authored 17 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Extracellular vesicles in disease (10 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Immunology (2.4k citations), Cancer Research (456 citations) and Infectious Diseases (493 citations). Tanja I. Näslund has collaborated with scholars based in Sweden, United Kingdom and Belgium. Frequent co-authors include Peter Liljeström, Oliver Schulz, Caetano Reis e Sousa, Choon Ping Tan, Friedemann Weber, Andreas Pichlmair, Susanne Gabrielsson, Margaret Chen, Ulf Gehrmann and Lena Alexopoulou. Their work appears in journals such as Nature, Science and The Journal of Immunology.

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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