Svenja Stöven

2.5k total citations
19 papers, 2.0k citations indexed

About

Svenja Stöven is a scholar working on Immunology, Molecular Biology and Microbiology. According to data from OpenAlex, Svenja Stöven has authored 19 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Microbiology. Recurrent topics in Svenja Stöven's work include Invertebrate Immune Response Mechanisms (12 papers), Bacillus and Francisella bacterial research (5 papers) and Antimicrobial Peptides and Activities (5 papers). Svenja Stöven is often cited by papers focused on Invertebrate Immune Response Mechanisms (12 papers), Bacillus and Francisella bacterial research (5 papers) and Antimicrobial Peptides and Activities (5 papers). Svenja Stöven collaborates with scholars based in Sweden, United States and France. Svenja Stöven's co-authors include Dan Hultmark, Kathryn V. Anderson, Ylva Engström, Thomas Werner, Kwang‐Min Choe, Neal Silverman, Tom Maniatis, István Andó, Latha Kadalayil and Rui Zhou and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Svenja Stöven

19 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Svenja Stöven Sweden 14 1.6k 1.0k 618 485 301 19 2.0k
Louisa P. Wu United States 20 973 0.6× 825 0.8× 929 1.5× 283 0.6× 147 0.5× 28 2.1k
Laurent Troxler France 15 1.5k 0.9× 1.3k 1.2× 646 1.0× 382 0.8× 127 0.4× 16 2.2k
Marie Gottar France 6 1.2k 0.7× 855 0.8× 316 0.5× 376 0.8× 190 0.6× 7 1.4k
Sang Woon Shin United States 23 879 0.5× 1.0k 1.0× 567 0.9× 504 1.0× 121 0.4× 35 1.7k
Vladimir Kokoza United States 23 820 0.5× 1.1k 1.1× 870 1.4× 537 1.1× 91 0.3× 29 2.0k
Vanessa Gobert France 12 1.2k 0.7× 906 0.9× 379 0.6× 433 0.9× 186 0.6× 15 1.5k
Henna Myllymäki Finland 15 967 0.6× 641 0.6× 363 0.6× 292 0.6× 72 0.2× 25 1.3k
Kamna Aggarwal United States 9 897 0.6× 707 0.7× 284 0.5× 305 0.6× 135 0.4× 9 1.2k
Anni Kleino Finland 13 863 0.5× 728 0.7× 491 0.8× 321 0.7× 80 0.3× 14 1.3k
Stéphanie Blandin France 22 1.8k 1.1× 1.3k 1.3× 914 1.5× 330 0.7× 97 0.3× 41 2.8k

Countries citing papers authored by Svenja Stöven

Since Specialization
Citations

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

Fields of papers citing papers by Svenja Stöven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svenja Stöven

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

All Works

19 of 19 papers shown
1.
Vícha, Aleš, Svenja Stöven, Silvana Ficarra, et al.. (2024). Interventions about physical activity and diet and their impact on adolescent and young adult cancer survivors: a Prisma systematic review. Supportive Care in Cancer. 32(6). 342–342. 5 indexed citations
2.
Kinsman, John, et al.. (2018). Good practices and challenges in addressing poliomyelitis and measles in the European Union. European Journal of Public Health. 28(4). 730–734. 2 indexed citations
3.
Plamboeck, Agneta H., et al.. (2016). Laboratory analysis of CBRN-substances: Stakeholder networks as clue to higher CBRN resilience in Europe. TrAC Trends in Analytical Chemistry. 85. 2–9. 3 indexed citations
4.
Nordfelth, Roland, et al.. (2012). <b><i>Francisella </i></b>Is Sensitive to Insect Antimicrobial Peptides. Journal of Innate Immunity. 5(1). 50–59. 20 indexed citations
5.
Rietz, Cecilia, et al.. (2012). Signatures of T Cells as Correlates of Immunity to Francisella tularensis. PLoS ONE. 7(3). e32367–e32367. 28 indexed citations
6.
Rietz, Cecilia, Patrik Rydén, Svenja Stöven, et al.. (2011). Persistence of cell‐mediated immunity three decades after vaccination with the live vaccine strain of Francisella tularensis. European Journal of Immunology. 41(4). 974–980. 25 indexed citations
7.
Rydén, Patrik, et al.. (2010). Directed Screen of Francisella novicida Virulence Determinants Using Drosophila melanogaster. Infection and Immunity. 78(7). 3118–3128. 50 indexed citations
8.
Steinert, Stefanie, et al.. (2009). The N-terminal half of the Drosophila Rel/NF-κB factor Relish, REL-68, constitutively activates transcription of specific Relish target genes. Developmental & Comparative Immunology. 33(5). 690–696. 38 indexed citations
9.
Ertürk-Hasdemir, Deniz, Meike Broemer, François Leulier, et al.. (2009). Two roles for theDrosophilaIKK complex in the activation of Relish and the induction of antimicrobial peptide genes. Proceedings of the National Academy of Sciences. 106(24). 9779–9784. 136 indexed citations
10.
Telepnev, Maxim V., et al.. (2008). Drosophila melanogaster as a model for elucidating the pathogenicity of Francisella tularensis. Cellular Microbiology. 10(6). 1327–1338. 60 indexed citations
11.
Delaney, Joseph R., Svenja Stöven, Hanna Uvell, et al.. (2006). Cooperative control of Drosophila immune responses by the JNK and NF‐κB signaling pathways. The EMBO Journal. 25(13). 3068–3077. 148 indexed citations
12.
Kleino, Anni, Susanna Valanne, Johanna Ulvila, et al.. (2005). Inhibitor of apoptosis 2 and TAK1‐binding protein are components of the Drosophila Imd pathway. The EMBO Journal. 24(19). 3423–3434. 188 indexed citations
13.
Stöven, Svenja, Neal Silverman, Anna Junell, et al.. (2003). Caspase-mediated processing of the Drosophila NF-κB factor Relish. Proceedings of the National Academy of Sciences. 100(10). 5991–5996. 276 indexed citations
14.
Choe, Kwang‐Min, Thomas Werner, Svenja Stöven, Dan Hultmark, & Kathryn V. Anderson. (2002). Requirement for a Peptidoglycan Recognition Protein (PGRP) in Relish Activation and Antibacterial Immune Responses in Drosophila. Science. 296(5566). 359–362. 493 indexed citations
15.
Lindmark, Hans, et al.. (2001). Enteric Bacteria Counteract Lipopolysaccharide Induction of Antimicrobial Peptide Genes. The Journal of Immunology. 167(12). 6920–6923. 24 indexed citations
16.
Stöven, Svenja. (2000). Activation of the Drosophila NF-κB factor relish by rapid endoproteolytic cleavage. The EMBO Journal. 1. 347–352. 7 indexed citations
17.
Silverman, Neal, Rui Zhou, Svenja Stöven, et al.. (2000). A Drosophila IκB kinase complex required for Relish cleavage and antibacterial immunity. Genes & Development. 14(19). 2461–2471. 269 indexed citations
18.
Stöven, Svenja, István Andó, Latha Kadalayil, Ylva Engström, & Dan Hultmark. (2000). Activation of the Drosophila NF‐κB factor Relish by rapid endoproteolytic cleavage. EMBO Reports. 1(4). 347–352. 264 indexed citations
19.
Stöven, Svenja, et al.. (1992). Drosophila salivary glands exhibit a regional reprogramming of gene expression during the third larval instar. Mechanisms of Development. 37(1-2). 81–93. 8 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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