Steven E. Applequist

1.1k total citations
17 papers, 904 citations indexed

About

Steven E. Applequist is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Steven E. Applequist has authored 17 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Steven E. Applequist's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Steven E. Applequist is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Steven E. Applequist collaborates with scholars based in Sweden, United States and United Kingdom. Steven E. Applequist's co-authors include Hans‐Martin Jäck, Sanna Nyström, Chander Raman, Jan Jongstra, Gabriele Beck‐Engeser, Mari Gilljam, Tolga Sütlü, Evren Alici, Birgitta Stellan and Jorma Hinkula and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Steven E. Applequist

17 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven E. Applequist Sweden 12 539 349 128 100 78 17 904
Maja Marić United States 18 855 1.6× 277 0.8× 155 1.2× 149 1.5× 50 0.6× 25 1.1k
Hansjörg Schild Germany 13 805 1.5× 356 1.0× 179 1.4× 110 1.1× 74 0.9× 13 1.0k
Mizuho Kajikawa Japan 17 444 0.8× 412 1.2× 114 0.9× 260 2.6× 124 1.6× 40 986
Meg Mathies United Kingdom 6 569 1.1× 182 0.5× 86 0.7× 84 0.8× 60 0.8× 7 894
Stefan Hausmann Germany 11 680 1.3× 186 0.5× 70 0.5× 137 1.4× 79 1.0× 18 970
Anthony Doyle United Kingdom 15 569 1.1× 177 0.5× 108 0.8× 106 1.1× 48 0.6× 20 902
Brigitte Lemercier France 16 481 0.9× 276 0.8× 202 1.6× 99 1.0× 116 1.5× 21 952
Guangming Zhong United States 12 487 0.9× 230 0.7× 53 0.4× 182 1.8× 42 0.5× 18 830
Deborah Maguire Australia 9 352 0.7× 390 1.1× 168 1.3× 110 1.1× 76 1.0× 11 853
T R Camerato United States 6 542 1.0× 355 1.0× 347 2.7× 69 0.7× 83 1.1× 7 1.1k

Countries citing papers authored by Steven E. Applequist

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Applequist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Applequist. 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 Steven E. Applequist. The network helps show where Steven E. Applequist may publish in the future.

Co-authorship network of co-authors of Steven E. Applequist

This figure shows the co-authorship network connecting the top 25 collaborators of Steven E. Applequist. A scholar is included among the top collaborators of Steven E. Applequist 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 Steven E. Applequist. Steven E. Applequist 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.
2.
Uchtenhagen, Hannes, Torben Schiffner, Emma J. Bowles, et al.. (2014). Boosting of HIV-1 Neutralizing Antibody Responses by a Distally Related Retroviral Envelope Protein. The Journal of Immunology. 192(12). 5802–5812. 3 indexed citations
3.
Knudsen, Maria L., Daniel X. Johansson, Eva Nordström, et al.. (2013). The Adjuvant Activity of Alphavirus Replicons Is Enhanced by Incorporating the Microbial Molecule Flagellin into the Replicon. PLoS ONE. 8(6). e65964–e65964. 11 indexed citations
4.
Nyström, Sanna, Andreas Bråve, Claudia Devito, et al.. (2013). DNA-Encoded Flagellin Activates Toll-Like Receptor 5 (TLR5), Nod-like Receptor Family CARD Domain-Containing Protein 4 (NRLC4), and Acts as an Epidermal, Systemic, and Mucosal-Adjuvant. SHILAP Revista de lepidopterología. 1(4). 415–443. 11 indexed citations
5.
Nyström, Sanna, Daniel J. Antoine, Peter Lundbäck, et al.. (2013). TLR activation regulates damage-associated molecular pattern isoforms released during pyroptosis. The EMBO Journal. 32(1). 172–172. 4 indexed citations
6.
Nyström, Sanna, Daniel J. Antoine, Peter Lundbäck, et al.. (2012). TLR activation regulates damage‐associated molecular pattern isoforms released during pyroptosis. The EMBO Journal. 32(1). 86–99. 110 indexed citations
7.
Sütlü, Tolga, Sanna Nyström, Mari Gilljam, et al.. (2012). Inhibition of Intracellular Antiviral Defense Mechanisms Augments Lentiviral Transduction of Human Natural Killer Cells: Implications for Gene Therapy. Human Gene Therapy. 23(10). 1090–1100. 117 indexed citations
8.
Hallengärd, David, Steven E. Applequist, Sanna Nyström, et al.. (2012). Immunization with Multiple Vaccine Modalities Induce Strong HIV-Specific Cellular and Humoral Immune Responses. Viral Immunology. 25(5). 423–432. 8 indexed citations
9.
Bråve, Andreas, Sanna Nyström, Anna‐Karin Roos, & Steven E. Applequist. (2010). Plasmid DNA vaccination using skin electroporation promotes poly‐functional CD4 T‐cell responses. Immunology and Cell Biology. 89(3). 492–496. 32 indexed citations
10.
Berglund, Peter, et al.. (2006). Dissection of the Interaction of the Human Cytomegalovirus-derived US2 Protein with Major Histocompatibility Complex Class I Molecules. Journal of Biological Chemistry. 281(13). 8950–8957. 10 indexed citations
11.
Applequist, Steven E., Erik Rollman, Mark D. Wareing, et al.. (2005). Activation of Innate Immunity, Inflammation, and Potentiation of DNA Vaccination through Mammalian Expression of the TLR5 Agonist Flagellin. The Journal of Immunology. 175(6). 3882–3891. 76 indexed citations
12.
Applequist, Steven E.. (2002). Variable expression of Toll-like receptor in murine innate and adaptive immune cell lines. International Immunology. 14(9). 1065–1074. 186 indexed citations
13.
Applequist, Steven E., Jörgen Dahlström, Ning Jiang, Hector Molina, & Birgitta Heyman. (2000). Antibody Production in Mice Deficient for Complement Receptors 1 and 2 Can Be Induced by IgG/Ag and IgE/Ag, But Not IgM/Ag Complexes. The Journal of Immunology. 165(5). 2398–2403. 51 indexed citations
14.
Applequist, Steven E., et al.. (1997). Cloning and characterization of HUPF1, a human homolog of the Saccharomyces cerevisiae nonsense mRNA-reducing UPF1 protein. Nucleic Acids Research. 25(4). 814–821. 131 indexed citations
15.
Applequist, Steven E., et al.. (1995). Ig μ Heavy Chains with VH81X Variable Regions Do Not Associate with λ5a. Annals of the New York Academy of Sciences. 764(1). 39–42. 15 indexed citations
16.
Applequist, Steven E., et al.. (1995). Sequence of the rabbit glyceraldehyde-3-phosphate dehydrogenase-encoding cDNA. Gene. 163(2). 325–326. 40 indexed citations
17.
Beck‐Engeser, Gabriele, et al.. (1995). Surrogate light chain-dependent selection of Ig heavy chain V regions. The Journal of Immunology. 155(12). 5536–5542. 89 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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