Thomas Trolle

918 total citations
20 papers, 637 citations indexed

About

Thomas Trolle is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Thomas Trolle has authored 20 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 12 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Thomas Trolle's work include Immunotherapy and Immune Responses (13 papers), vaccines and immunoinformatics approaches (12 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Thomas Trolle is often cited by papers focused on Immunotherapy and Immune Responses (13 papers), vaccines and immunoinformatics approaches (12 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Thomas Trolle collaborates with scholars based in Denmark, United States and Australia. Thomas Trolle's co-authors include Morten Nielsen, Bjoern Peters, Alessandro Sette, John Sidney, Jason Greenbaum, William H. Hildebrand, Curtis McMurtrey, Wilfried Bardet, Thomas Kaever and Ole Lund and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas Trolle

19 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Trolle Denmark 12 463 431 220 137 92 20 637
Oezlem Tuereci Germany 5 462 1.0× 401 0.9× 210 1.0× 78 0.6× 79 0.9× 10 664
Payton A. Weidenbacher United States 9 514 1.1× 207 0.5× 164 0.7× 79 0.6× 171 1.9× 14 806
Alex S. Powlesland United Kingdom 9 267 0.6× 284 0.7× 88 0.4× 75 0.5× 87 0.9× 12 507
Gustav Røder Denmark 13 663 1.4× 733 1.7× 259 1.2× 188 1.4× 86 0.9× 18 1.1k
Claudia Lemmel Germany 8 414 0.9× 339 0.8× 101 0.5× 106 0.8× 43 0.5× 11 559
Laura Zarebski Argentina 7 487 1.1× 281 0.7× 260 1.2× 46 0.3× 87 0.9× 7 697
Joanna Jasińska Austria 11 156 0.3× 212 0.5× 133 0.6× 85 0.6× 87 0.9× 28 425
M. Kronenberg United States 7 332 0.7× 315 0.7× 132 0.6× 30 0.2× 52 0.6× 9 585
Gomathinayagam Sinnathamby United States 18 378 0.8× 409 0.9× 73 0.3× 135 1.0× 88 1.0× 30 797
Ashkan Safavi Iran 10 375 0.8× 168 0.4× 182 0.8× 44 0.3× 109 1.2× 11 453

Countries citing papers authored by Thomas Trolle

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Trolle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Trolle

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Trolle. A scholar is included among the top collaborators of Thomas Trolle 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 Thomas Trolle. Thomas Trolle 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.
Garde, Christian, Sri H. Ramarathinam, Mateo Sokač, et al.. (2025). Endogenous viral elements constitute a complementary source of antigens for personalized cancer vaccines. npj Vaccines. 10(1). 54–54. 2 indexed citations
2.
Khattak, Muhammad A., P.A. Ascierto, Carolina Cimminiello, et al.. (2025). 1516MO EVX-01, a personalized cancer vaccine, induces potent T cell responses and durable disease control in advanced melanoma: 2-year follow-up. Annals of Oncology. 36. S845–S845.
3.
Ascierto, Paolo A., Paola Queirolo, Daniela Kleine‐Kohlbrecher, et al.. (2024). 1084P Phase II study of AI-designed personalized neoantigen cancer vaccine, EVX-01, in combination with pembrolizumab in advanced melanoma. Annals of Oncology. 35. S718–S719. 3 indexed citations
4.
Long, Georgina V., Muhammad Adnan Khattak, Paolo A. Ascierto, et al.. (2024). Immunogenicity of an AI-designed personalized neoantigen vaccine, EVX-01, in combination with anti-PD-1 therapy in patients with metastatic melanoma.. Journal of Clinical Oncology. 42(16_suppl). 9561–9561. 3 indexed citations
5.
Kleine‐Kohlbrecher, Daniela, Michail Pavlidis, Thomas Trolle, et al.. (2023). 623 AI-designed personalized neoantigen vaccine, EVX-02, induces robust T-cell responses in melanoma patients. SHILAP Revista de lepidopterología. A710–A710. 2 indexed citations
6.
Friis, Stine, et al.. (2023). DNA based neoepitope vaccination induces tumor control in syngeneic mouse models. npj Vaccines. 8(1). 77–77. 16 indexed citations
7.
Khattak, Adnan, Paolo A. Ascierto, Paola Queirolo, et al.. (2023). 782-H Effects of an AI generated personalized neopeptide-based immunotherapy, EVX-01, in combination with pembrolizumab in patients with metastatic melanoma: a clinical trial update. SHILAP Revista de lepidopterología. A1818–A1818. 1 indexed citations
8.
Kleine‐Kohlbrecher, Daniela, Thomas Trolle, Stine Friis, et al.. (2023). Abstract LB199: A personalized neoantigen vaccine is well tolerated and induces specific T-cell immune response in patients with resected melanoma. Cancer Research. 83(8_Supplement). LB199–LB199. 3 indexed citations
9.
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
10.
Klausen, Michael Schantz, et al.. (2022). Benchmarking freely available HLA typing algorithms across varying genes, coverages and typing resolutions. Frontiers in Immunology. 13. 987655–987655. 15 indexed citations
11.
Long, Georgina V., Pier Francesco Ferrucci, Adnan Khattak, et al.. (2022). KEYNOTE – D36: Personalized Immunotherapy with a Neoepitope Vaccine, EVX-01 and Pembrolizumab in Advanced Melanoma. Future Oncology. 18(31). 3473–3480. 16 indexed citations
12.
Garde, Christian, Sri H. Ramarathinam, Patricia T. Illing, et al.. (2020). Thermostability profiling of MHC-bound peptides: a new dimension in immunopeptidomics and aid for immunotherapy design. Nature Communications. 11(1). 6305–6305. 18 indexed citations
13.
Garde, Christian, Sri H. Ramarathinam, Morten Nielsen, et al.. (2019). Improved peptide-MHC class II interaction prediction through integration of eluted ligand and peptide affinity data. Immunogenetics. 71(7). 445–454. 37 indexed citations
14.
15.
Andreatta, Massimo, Thomas Trolle, Yan Zhen, et al.. (2017). An automated benchmarking platform for MHC class II binding prediction methods. Bioinformatics. 34(9). 1522–1528. 66 indexed citations
16.
Trolle, Thomas, Curtis McMurtrey, John Sidney, et al.. (2016). The Length Distribution of Class I–Restricted T Cell Epitopes Is Determined by Both Peptide Supply and MHC Allele–Specific Binding Preference. The Journal of Immunology. 196(4). 1480–1487. 151 indexed citations
17.
McMurtrey, Curtis, Thomas Trolle, Soumya G. Remesh, et al.. (2016). Toxoplasma gondii peptide ligands open the gate of the HLA class I binding groove. eLife. 5. 64 indexed citations
18.
Jun, Se‐Ran, Michael R. Leuze, Intawat Nookaew, et al.. (2015). Ebolaviruscomparative genomics. FEMS Microbiology Reviews. 39(5). 764–778. 38 indexed citations
19.
Trolle, Thomas, Imir G. Metushi, Jason Greenbaum, et al.. (2015). Automated benchmarking of peptide-MHC class I binding predictions. Bioinformatics. 31(13). 2174–2181. 103 indexed citations
20.
Trolle, Thomas & Morten Nielsen. (2014). NetTepi: an integrated method for the prediction of T cell epitopes. Immunogenetics. 66(7-8). 449–456. 50 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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