Dennis Christensen

6.5k total citations
144 papers, 5.1k citations indexed

About

Dennis Christensen is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Dennis Christensen has authored 144 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Immunology, 52 papers in Molecular Biology and 26 papers in Infectious Diseases. Recurrent topics in Dennis Christensen's work include Immunotherapy and Immune Responses (66 papers), Immune Response and Inflammation (35 papers) and RNA Interference and Gene Delivery (28 papers). Dennis Christensen is often cited by papers focused on Immunotherapy and Immune Responses (66 papers), Immune Response and Inflammation (35 papers) and RNA Interference and Gene Delivery (28 papers). Dennis Christensen collaborates with scholars based in Denmark, United Kingdom and United States. Dennis Christensen's co-authors include Peter Andersen, Else Marie Agger, Yvonne Perrie, Karen Smith Korsholm, Camilla Foged, Ida Rosenkrands, Malou Henriksen‐Lacey, Valérie Kayser, Thomas Lindenstrøm and S. Schmidt and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dennis Christensen

137 papers receiving 5.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dennis Christensen 3.0k 2.1k 1.0k 938 461 144 5.1k
Harm HogenEsch 3.0k 1.0× 2.4k 1.1× 1.2k 1.1× 946 1.0× 422 0.9× 166 6.8k
Manmohan Singh 2.5k 0.8× 2.4k 1.1× 831 0.8× 1.1k 1.2× 321 0.7× 87 6.2k
Gideon Kersten 1.8k 0.6× 2.6k 1.2× 1.1k 1.0× 1.2k 1.2× 705 1.5× 125 6.3k
James M. Brewer 3.6k 1.2× 1.3k 0.6× 469 0.5× 862 0.9× 172 0.4× 144 6.5k
Kevin J. Whaley 1.0k 0.3× 1.7k 0.8× 1.2k 1.1× 1.1k 1.2× 1.1k 2.4× 103 5.1k
Gary T. Jennings 1.6k 0.5× 1.6k 0.7× 737 0.7× 793 0.8× 217 0.5× 36 4.1k
Christopher B. Fox 2.8k 0.9× 2.0k 0.9× 1.3k 1.2× 1.2k 1.2× 324 0.7× 110 5.3k
Giampietro Corradin 3.5k 1.2× 3.0k 1.4× 397 0.4× 924 1.0× 226 0.5× 164 7.4k
Camilla Foged 1.9k 0.6× 3.4k 1.6× 704 0.7× 405 0.4× 425 0.9× 129 6.3k
Gary Ott 2.3k 0.8× 1.5k 0.7× 649 0.6× 1.0k 1.1× 224 0.5× 42 3.7k

Countries citing papers authored by Dennis Christensen

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Christensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Christensen

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Christensen. A scholar is included among the top collaborators of Dennis Christensen 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 Dennis Christensen. Dennis Christensen 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.
Lokras, Abhijeet, Aneesh Thakur, Henrik Franzyk, et al.. (2025). Cholesterol in mRNA‐Lipid Nanoparticles can be Replaced with the Synthetic Mycobacterial Monomycoloyl Glycerol Analogue MMG‐1. Advanced Functional Materials. 35(51).
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Jiang, Hao, Gael Clergeaud, Sarah Line Skovbakke, et al.. (2024). Chemical synthesis and immunological evaluation of cancer vaccines based on ganglioside antigens and α-galactosylceramide. RSC Medicinal Chemistry. 15(8). 2718–2728. 2 indexed citations
4.
In, Gino K., Gautam Sajeev, Sunil Kalia, et al.. (2024). Comparative effectiveness among BRAF plus MEK inhibitors for patients with BRAF V600-mutant melanoma. SHILAP Revista de lepidopterología. 6. 100071–100071.
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Christensen, Dennis, et al.. (2024). Increased impact sensitivity in ageing high explosives; analysis of Amatol extracted from explosive remnants of war. Royal Society Open Science. 11(3). 231344–231344. 4 indexed citations
6.
Pedersen, Gabriel Kristian, et al.. (2024). Human In vitro Modeling Identifies Adjuvant Combinations that Unlock Antigen Cross-presentation and Promote T-helper 1 Development in Newborns, Adults and Elders. Journal of Molecular Biology. 436(4). 168446–168446. 5 indexed citations
7.
Draghi, Arianna, Joachim Stoltenborg Granhøj, Christina W. Yde, et al.. (2023). Final results: Dose escalation study of a personalized peptide-based neoantigen vaccine in patients with metastatic melanoma.. Journal of Clinical Oncology. 41(16_suppl). 9551–9551. 3 indexed citations
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Bodendorfer, Barbara, Dennis Christensen, Christian Alexander, et al.. (2023). IL-4 and helminth infection downregulate MINCLE-dependent macrophage response to mycobacteria and Th17 adjuvanticity. eLife. 12. 14 indexed citations
11.
Christensen, Dennis. (2023). Head-to-Head Comparison of Novel Vaccine Technologies Comes with a Minefield of Challenges. Pharmaceutics. 16(1). 12–12. 1 indexed citations
12.
Bol, Kalijn F., Arianna Draghi, Nana Haahr Overgaard, et al.. (2022). Personalized therapy with peptide-based neoantigen vaccine (EVX-01) including a novel adjuvant, CAF®09b, in patients with metastatic melanoma. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 38 indexed citations
13.
Córdoba, Lorena, Edmond J. Remarque, Thomas Ebensen, et al.. (2021). Immune Responses to Pandemic H1N1 Influenza Virus Infection in Pigs Vaccinated with a Conserved Hemagglutinin HA1 Peptide Adjuvanted with CAF®01 or CDA/αGalCerMPEG. Vaccines. 9(7). 751–751. 7 indexed citations
14.
Villumsen, Kasper Rømer, Per Walter Kania, Dennis Christensen, Erling Olaf Koppang, & Anders Miki Bojesen. (2020). Injection Vaccines Formulated with Nucleotide, Liposomal or Mineral Oil Adjuvants Induce Distinct Differences in Immunogenicity in Rainbow Trout. Vaccines. 8(1). 103–103. 9 indexed citations
15.
Temchura, Vladimir, et al.. (2020). CD4+ T Cells Induced by Tuberculosis Subunit Vaccine H1 Can Improve the HIV-1 Env Humoral Response by Intrastructural Help. Vaccines. 8(4). 604–604. 8 indexed citations
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Franzyk, Henrik, Fabrice Rose, Cecilie Maria Madsen, et al.. (2017). Adjuvants Based on Synthetic Mycobacterial Cord Factor Analogues: Biophysical Properties of Neat Glycolipids and Nanoself-Assemblies with DDA. Molecular Pharmaceutics. 14(7). 2294–2306. 7 indexed citations
18.
Prota, Gennaro, Dennis Christensen, Peter Andersen, Donata Medaglini, & Annalisa Ciabattini. (2015). Peptide-specific T helper cells identified by MHC class II tetramers differentiate into several subtypes upon immunization with CAF01 adjuvanted H56 tuberculosis vaccine formulation. Vaccine. 33(48). 6823–6830. 13 indexed citations
19.
Andersson, Anne‐Marie, Kjell O. Håkansson, Benjamin A. H. Jensen, et al.. (2012). Increased Immunogenicity and Protective Efficacy of Influenza M2e Fused to a Tetramerizing Protein. PLoS ONE. 7(10). e46395–e46395. 34 indexed citations
20.
Christensen, Dennis, M. Gautron, G. Guilbaud, & V. Kayser. (1999). Repeated but not single injections of gabapentin attenuate pain-related behaviour in a rat model of trigeminal neuropathic pain. The Society for Neuroscience Abstracts. 25. 1943. 1 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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