Peter Andersen

40.0k total citations · 5 hit papers
393 papers, 31.0k citations indexed

About

Peter Andersen is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Peter Andersen has authored 393 papers receiving a total of 31.0k indexed citations (citations by other indexed papers that have themselves been cited), including 255 papers in Infectious Diseases, 218 papers in Immunology and 183 papers in Epidemiology. Recurrent topics in Peter Andersen's work include Tuberculosis Research and Epidemiology (242 papers), Mycobacterium research and diagnosis (146 papers) and Immunotherapy and Immune Responses (96 papers). Peter Andersen is often cited by papers focused on Tuberculosis Research and Epidemiology (242 papers), Mycobacterium research and diagnosis (146 papers) and Immunotherapy and Immune Responses (96 papers). Peter Andersen collaborates with scholars based in Denmark, United Kingdom and United States. Peter Andersen's co-authors include Else Marie Agger, Ida Rosenkrands, T. Mark Doherty, Dennis Christensen, Jes Dietrich, Anja Weinreich Olsen, J.M. Pollock, Claus Aagaard, Karin Weldingh and Karen Smith Korsholm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Peter Andersen

390 papers receiving 30.3k citations

Hit Papers

Multifunctional TH1 cells define a correlate of vaccine-m... 2000 2026 2008 2017 2007 2000 2005 2016 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Andersen Denmark 94 20.5k 15.6k 14.9k 8.1k 4.8k 393 31.0k
Tom H. M. Ottenhoff Netherlands 86 13.8k 0.7× 11.2k 0.7× 12.8k 0.9× 5.3k 0.6× 4.1k 0.9× 471 25.8k
Philippe Sansonetti France 113 11.2k 0.5× 4.4k 0.3× 10.8k 0.7× 13.6k 1.7× 2.4k 0.5× 446 42.0k
Gary K. Schoolnik United States 74 10.9k 0.5× 8.8k 0.6× 3.8k 0.3× 8.0k 1.0× 2.9k 0.6× 187 22.7k
Barney S. Graham United States 87 15.6k 0.8× 13.9k 0.9× 7.2k 0.5× 5.9k 0.7× 1.3k 0.3× 359 30.9k
JoAnne L. Flynn United States 81 17.0k 0.8× 12.4k 0.8× 9.7k 0.7× 4.3k 0.5× 5.0k 1.0× 205 23.8k
Ian M. Orme United States 82 15.5k 0.8× 11.8k 0.8× 10.1k 0.7× 3.8k 0.5× 3.4k 0.7× 288 22.0k
Gordon Dougan United Kingdom 107 14.7k 0.7× 4.9k 0.3× 7.9k 0.5× 13.6k 1.7× 1.8k 0.4× 612 43.5k
Brigitte Gicquel France 76 14.3k 0.7× 12.9k 0.8× 3.9k 0.3× 5.3k 0.7× 4.5k 0.9× 255 20.6k
Camille Locht France 72 7.5k 0.4× 8.5k 0.5× 2.5k 0.2× 5.3k 0.7× 2.6k 0.5× 362 17.1k
Jan Holmgren Sweden 85 5.6k 0.3× 4.4k 0.3× 9.8k 0.7× 5.3k 0.7× 1.5k 0.3× 475 25.3k

Countries citing papers authored by Peter Andersen

Since Specialization
Citations

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

Fields of papers citing papers by Peter Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Andersen

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Andersen. A scholar is included among the top collaborators of Peter Andersen 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 Peter Andersen. Peter Andersen 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.
Tait, Dereck, Andreas H. Diacon, Álvaro H. Borges, et al.. (2024). Safety and Immunogenicity of the H56:IC31 Tuberculosis Vaccine Candidate in Adults Successfully Treated for Drug-Susceptible Pulmonary Tuberculosis: A Phase 1 Randomized Trial. The Journal of Infectious Diseases. 230(5). 1262–1270. 6 indexed citations
2.
McIntosh, Fiona, Ida Rosenkrands, Gregers Jungersen, et al.. (2021). In Vivo Antigen Expression Regulates CD4 T Cell Differentiation and Vaccine Efficacy against Mycobacterium tuberculosis Infection. mBio. 12(2). 13 indexed citations
3.
Olsen, Anja Weinreich, Ida Rosenkrands, Martin J. Holland, Peter Andersen, & Frank Follmann. (2021). A Chlamydia trachomatis VD1-MOMP vaccine elicits cross-neutralizing and protective antibodies against C/C-related complex serovars. npj Vaccines. 6(1). 58–58. 18 indexed citations
4.
Woodworth, Joshua S., Karin Dijkman, Thomas Lindenstrøm, et al.. (2021). A Mycobacterium tuberculosis-specific subunit vaccine that provides synergistic immunity upon co-administration with Bacillus Calmette-Guérin. Nature Communications. 12(1). 6658–6658. 56 indexed citations
5.
Fröberg, Gabrielle, Margarida Correia‐Neves, Robert Szulkin, et al.. (2020). CD4+ T cell proliferative responses to PPD and CFP-10 associate with recent M. tuberculosis infection. Tuberculosis. 123. 101959–101959. 3 indexed citations
6.
Suliman, Sara, Angelique Kany Kany Luabeya, Hennie Geldenhuys, et al.. (2018). Dose Optimization of H56:IC31 Vaccine for Tuberculosis-Endemic Populations. A Double-Blind, Placebo-controlled, Dose-Selection Trial. American Journal of Respiratory and Critical Care Medicine. 199(2). 220–231. 76 indexed citations
7.
Carroll, Elizabeth C., Lei Jin, Andrés Mori, et al.. (2016). The Vaccine Adjuvant Chitosan Promotes Cellular Immunity via DNA Sensor cGAS-STING-Dependent Induction of Type I Interferons. Immunity. 44(3). 597–608. 491 indexed citations breakdown →
8.
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
9.
Rühwald, Morten, Else Marie Agger, Søren T. Hoff, & Peter Andersen. (2014). H1- and H56- subunit vaccines against TB - an overview of the clinical development. European Respiratory Journal. 44(Suppl 58). 4477–4477. 1 indexed citations
10.
Román, Raúl Gómez, Kristoffer Jarlov Jensen, Sanne Jensen, et al.. (2013). Therapeutic Vaccination Using Cationic Liposome-Adjuvanted HIV Type 1 Peptides Representing HLA-Supertype-Restricted Subdominant T Cell Epitopes: Safety, Immunogenicity, and Feasibility in Guinea-Bissau. AIDS Research and Human Retroviruses. 29(11). 1504–1512. 46 indexed citations
11.
Scriba, Thomas J., Brian Eley, Robert J. Wilkinson, et al.. (2010). CD4 and CD8 T-Cell Responses to Mycobacterial Antigens in African Children. American Journal of Respiratory and Critical Care Medicine. 182(1). 120–129. 40 indexed citations
12.
Schoenen, Hanne, Barbara Bodendorfer, Silvia Manzanero, et al.. (2010). Cutting Edge: Mincle Is Essential for Recognition and Adjuvanticity of the Mycobacterial Cord Factor and its Synthetic Analog Trehalose-Dibehenate. The Journal of Immunology. 184(6). 2756–2760. 381 indexed citations
13.
Groß, Olaf, Christoph Hölscher, Else Marie Agger, et al.. (2009). Adjuvanticity of a synthetic cord factor analogue for subunit Mycobacterium tuberculosis vaccination requires FcRγ–Syk–Card9–dependent innate immune activation. The Journal of Experimental Medicine. 206(1). 89–97. 258 indexed citations
14.
Abebe, Markos, T. Mark Doherty, Liya Wassie, et al.. (2009). Expression of apoptosis‐related genes in an Ethiopian cohort study correlates with tuberculosis clinical status. European Journal of Immunology. 40(1). 291–301. 21 indexed citations
15.
Billeskov, Rolf, Carina Vingsbo Lundberg, Peter Andersen, & Jes Dietrich. (2007). Induction of CD8 T Cells against a Novel Epitope in TB10.4: Correlation with Mycobacterial Virulence and the Presence of a Functional Region of Difference-1. The Journal of Immunology. 179(6). 3973–3981. 85 indexed citations
16.
Dietrich, Jes, Carina Vingsbo Lundberg, & Peter Andersen. (2006). TB vaccine strategies—What is needed to solve a complex problem?. Tuberculosis. 86(3-4). 163–168. 30 indexed citations
17.
Dietrich, Jes, et al.. (2006). Mucosal Administration of Ag85B-ESAT-6 Protects against Infection with Mycobacterium tuberculosis and Boosts Prior Bacillus Calmette-Guerin Immunity. The Journal of Immunology. 177(9). 6353–6360. 144 indexed citations
18.
Brock, Inger, Karin Weldingh, Troels Lillebæk, Frank Follmann, & Peter Andersen. (2004). Comparison of Tuberculin Skin Test and New Specific Blood Test in Tuberculosis Contacts. American Journal of Respiratory and Critical Care Medicine. 170(1). 65–69. 277 indexed citations
19.
Demissie, Abebech, Markos Abebe, Abraham Aseffa, et al.. (2004). Healthy Individuals That Control a Latent Infection with Mycobacterium tuberculosis Express High Levels of Th1 Cytokines and the IL-4 Antagonist IL-4δ2. The Journal of Immunology. 172(11). 6938–6943. 150 indexed citations
20.
Shams, Homayoun, Peter Klucar, Ajit Lalvani, et al.. (2004). Characterization of a Mycobacterium tuberculosis Peptide That Is Recognized by Human CD4+ and CD8+ T Cells in the Context of Multiple HLA Alleles. The Journal of Immunology. 173(3). 1966–1977. 69 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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