Troels R. Petersen

1.6k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Troels R. Petersen is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Troels R. Petersen has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 6 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Troels R. Petersen's work include Immunotherapy and Immune Responses (18 papers), T-cell and B-cell Immunology (16 papers) and Immune Cell Function and Interaction (13 papers). Troels R. Petersen is often cited by papers focused on Immunotherapy and Immune Responses (18 papers), T-cell and B-cell Immunology (16 papers) and Immune Cell Function and Interaction (13 papers). Troels R. Petersen collaborates with scholars based in New Zealand, Denmark and United States. Troels R. Petersen's co-authors include B. Thomas Bäckström, Vijay K. Kuchroo, Estelle Bettelli, Wenda Gao, Terry B. Strom, Kai W. Wucherpfennig, Jayagopala Reddy, Thomas Korn, Mohamed Oukka and Amit Awasthi and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Troels R. Petersen

26 papers receiving 1.3k citations

Hit Papers

Myelin-specific regulatory T cells accumulate in the CNS ... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Troels R. Petersen New Zealand 14 992 279 243 108 100 26 1.3k
Laura Quigley United States 18 885 0.9× 222 0.8× 249 1.0× 142 1.3× 112 1.1× 32 1.4k
Dennis C. Otero United States 18 938 0.9× 416 1.5× 538 2.2× 109 1.0× 58 0.6× 27 1.6k
Elena B. Samoilova United States 9 713 0.7× 284 1.0× 256 1.1× 178 1.6× 107 1.1× 11 1.1k
Ilona Gutcher Germany 11 891 0.9× 275 1.0× 438 1.8× 191 1.8× 162 1.6× 13 1.4k
Gregory N. Dietsch United States 20 787 0.8× 425 1.5× 265 1.1× 92 0.9× 126 1.3× 25 1.4k
Mika Nishihara Japan 7 522 0.5× 246 0.9× 292 1.2× 83 0.8× 44 0.4× 9 996
Jianmei W. Leavenworth United States 23 825 0.8× 344 1.2× 413 1.7× 75 0.7× 205 2.0× 52 1.5k
Bojana Müller-Durovic Switzerland 9 759 0.8× 278 1.0× 285 1.2× 74 0.7× 43 0.4× 12 1.1k
Stephanie L. Reynolds United States 4 534 0.5× 223 0.8× 220 0.9× 91 0.8× 188 1.9× 4 891
Judith F. Ashouri United States 13 461 0.5× 187 0.7× 207 0.9× 132 1.2× 42 0.4× 18 941

Countries citing papers authored by Troels R. Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Troels R. Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Troels R. Petersen. 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 Troels R. Petersen. The network helps show where Troels R. Petersen may publish in the future.

Co-authorship network of co-authors of Troels R. Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of Troels R. Petersen. A scholar is included among the top collaborators of Troels R. Petersen 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 Troels R. Petersen. Troels R. Petersen 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.
Jensen, Louise Kruse, et al.. (2023). Catheter‐associated bladder mucosal trauma during intermittent voiding: An experimental study in pigs. SHILAP Revista de lepidopterología. 5(2). 217–223. 4 indexed citations
2.
Petersen, Troels R., et al.. (2018). Langerin+ CD8α+ Dendritic Cells Drive Early CD8+ T Cell Activation and IL-12 Production During Systemic Bacterial Infection. Frontiers in Immunology. 9. 953–953. 8 indexed citations
3.
Gibbins, John D., et al.. (2015). Splenic Dendritic Cells Involved in Cross-Tolerance of Tumor Antigens Can Play a Stimulatory Role in Adoptive T-Cell Therapy. Journal of Immunotherapy. 38(8). 321–329. 7 indexed citations
4.
Gibbins, John D., Robert Weinkove, Benjamin J. Compton, et al.. (2014). An autologous leukemia cell vaccine prevents murine acute leukemia relapse after cytarabine treatment. Blood. 124(19). 2953–2963. 24 indexed citations
5.
Petersen, Troels R., et al.. (2014). Batf3-independent langerin− CX3CR1− CD8α+ splenic DCs represent a precursor for classical cross-presenting CD8α+ DCs. Journal of Leukocyte Biology. 96(6). 1001–1010. 11 indexed citations
6.
Hyde, Evelyn, et al.. (2013). The control of CD8+ T cell responses is preserved in perforin-deficient mice and released by depletion of CD4+CD25+ regulatory T cells. Journal of Leukocyte Biology. 94(4). 825–833. 3 indexed citations
8.
Petersen, Troels R., Nina Dickgreber, & Ian F. Hermans. (2010). Tumor Antigen Presentation by Dendritic Cells. Critical Reviews in Immunology. 30(4). 345–386. 44 indexed citations
9.
Farrand, Kathryn J., Nina Dickgreber, Patrizia Stoitzner, et al.. (2009). Langerin+CD8α+ Dendritic Cells Are Critical for Cross-Priming and IL-12 Production in Response to Systemic Antigens. The Journal of Immunology. 183(12). 7732–7742. 70 indexed citations
10.
Korn, Thomas, Jayagopala Reddy, Wenda Gao, et al.. (2007). Myelin-specific regulatory T cells accumulate in the CNS but fail to control autoimmune inflammation. Nature Medicine. 13(4). 423–431. 680 indexed citations breakdown →
11.
12.
Petersen, Troels R.. (2004). A chimeric T cell receptor with super-signaling properties. International Immunology. 16(7). 889–894. 13 indexed citations
13.
Petersen, Troels R., Estelle Bettelli, John Sidney, et al.. (2003). Characterization of MHC‐ and TCR‐binding residues of the myelin oligodendrocyte glycoprotein 38–51 peptide. European Journal of Immunology. 34(1). 165–173. 32 indexed citations
14.
Bregenholt, Søren, et al.. (2001). The majority of lamina propria CD4+ T-cells from scid mice with colitis undergo Fas-mediated apoptosis in vivo. Immunology Letters. 78(1). 7–12. 11 indexed citations
15.
Petersen, Troels R., Søren Buus, Søren Brunak, et al.. (2001). Identification and Design of p53‐Derived HLA‐A2‐Binding Peptides with Increased CTL Immunogenicity*. Scandinavian Journal of Immunology. 53(4). 357–364. 34 indexed citations
16.
Petersen, Troels R., et al.. (2000). INTERLEUKIN 15 IS A GROWTH FACTOR FOR HUMAN THYMOCYTES WITH PREFERENTIAL EFFECT ON CD8+CELLS. Cytokine. 12(6). 751–755. 6 indexed citations
17.
Pedersen, Bente Klarlund, Helle Brüünsgaard, Sisse Rye Ostrowski, et al.. (2000). Cytokines in Aging and Exercise. International Journal of Sports Medicine. 21(Supplement 1). 4–9. 67 indexed citations
19.
Petersen, Troels R., et al.. (1999). Human p53264–272 HLA-A2 binding peptide is an immunodominant epitope in DNA-immunized HLA-A2 transgenic mice. Cancer Letters. 137(2). 183–191. 7 indexed citations
20.
Kirkin, Alexei F., et al.. (1995). Generation of human-melanoma-specific T lymphocyte clones defining novel cytolytic targets with panels of newly established melanoma cell lines. Cancer Immunology Immunotherapy. 41(2). 71–81. 35 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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