Jan Dörrie

3.1k total citations
86 papers, 2.5k citations indexed

About

Jan Dörrie is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jan Dörrie has authored 86 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Immunology, 50 papers in Oncology and 41 papers in Molecular Biology. Recurrent topics in Jan Dörrie's work include Immunotherapy and Immune Responses (41 papers), CAR-T cell therapy research (39 papers) and Immune Cell Function and Interaction (28 papers). Jan Dörrie is often cited by papers focused on Immunotherapy and Immune Responses (41 papers), CAR-T cell therapy research (39 papers) and Immune Cell Function and Interaction (28 papers). Jan Dörrie collaborates with scholars based in Germany, United States and Japan. Jan Dörrie's co-authors include Niels Schaft, Gerold Schuler, Susan J. Zunino, Beatrice Schuler‐Thurner, Dennis Christoph Harrer, Eckhart Kämpgen, Ina Müller, Hinrich Abken, Uğur Uslu and Katrin Birkholz and has published in prestigious journals such as The Journal of Cell Biology, Blood and The Journal of Immunology.

In The Last Decade

Jan Dörrie

85 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Dörrie Germany 29 1.4k 1.2k 1.0k 449 299 86 2.5k
Qijun Qian China 30 1.6k 1.2× 710 0.6× 1.4k 1.4× 1.1k 2.5× 319 1.1× 127 2.9k
Leon Su United States 30 1.2k 0.8× 1.7k 1.4× 1.0k 1.0× 277 0.6× 155 0.5× 47 2.9k
Jonathan Pol France 34 1.6k 1.2× 1.2k 1.0× 1.2k 1.1× 1.1k 2.4× 149 0.5× 80 3.3k
Weiyi Peng United States 22 1.6k 1.1× 2.4k 1.9× 867 0.8× 169 0.4× 254 0.8× 50 3.5k
Juan Fu United States 18 1.2k 0.8× 2.3k 1.8× 1.2k 1.2× 262 0.6× 93 0.3× 42 3.4k
Wendy B. Bernstein United States 16 1.0k 0.7× 880 0.7× 931 0.9× 414 0.9× 169 0.6× 19 2.6k
Roland Houben Germany 38 2.4k 1.7× 523 0.4× 1.3k 1.2× 138 0.3× 80 0.3× 98 3.7k
Denis Martinvalet United States 25 389 0.3× 886 0.7× 1.2k 1.1× 102 0.2× 64 0.2× 43 2.3k

Countries citing papers authored by Jan Dörrie

Since Specialization
Citations

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

Fields of papers citing papers by Jan Dörrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Dörrie

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Dörrie. A scholar is included among the top collaborators of Jan Dörrie 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 Jan Dörrie. Jan Dörrie 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.
Schaft, Niels, Jan Dörrie, René Stein, et al.. (2025). Loading of CAR‐T cells with magnetic nanoparticles for controlled targeting suppresses inflammatory cytokine release and switches tumor cell death mechanism. MedComm. 6(1). e70039–e70039. 11 indexed citations
2.
Heger, Lukas, Diana Dudziak, Michael Erdmann, et al.. (2025). Avelumab mediates antibody‐dependent cellular cytotoxicity against monocyte‐derived dendritic cells through natural killer cells. MedComm. 6(3). e70111–e70111. 1 indexed citations
3.
Schaft, Niels, et al.. (2025). STINGing Cancer: Development, Clinical Application, and Targeted Delivery of STING Agonists. International Journal of Molecular Sciences. 26(18). 9008–9008. 1 indexed citations
4.
Schaft, Niels, et al.. (2024). The Role of the Large T Antigen in the Molecular Pathogenesis of Merkel Cell Carcinoma. Genes. 15(9). 1127–1127. 2 indexed citations
5.
Schaft, Niels, et al.. (2024). Tumor Antigens beyond the Human Exome. International Journal of Molecular Sciences. 25(9). 4673–4673. 3 indexed citations
6.
Manoochehri, Mehdi, et al.. (2024). Individualized neoantigen peptide immunization of a metastatic pancreatic cancer patient: a case report of combined tumor and liquid biopsy. Frontiers in Immunology. 15. 1414737–1414737. 2 indexed citations
7.
Schaft, Niels, Jan Dörrie, Gerold Schuler, et al.. (2023). The future of affordable cancer immunotherapy. Frontiers in Immunology. 14. 1248867–1248867. 38 indexed citations
8.
Dörrie, Jan, Niels Schaft, Harald Unterweger, et al.. (2023). Human T cells loaded with superparamagnetic iron oxide nanoparticles retain antigen-specific TCR functionality. Frontiers in Immunology. 14. 1223695–1223695. 11 indexed citations
9.
Fujii, Shin‐ichiro, Toyotaka Kawamata, Kanako Shimizu, et al.. (2022). Reinvigoration of innate and adaptive immunity via therapeutic cellular vaccine for patients with AML. Molecular Therapy — Oncolytics. 27. 315–332. 13 indexed citations
10.
Harrer, Dennis Christoph, Jan Dörrie, & Niels Schaft. (2018). Chimeric Antigen Receptors in Different Cell Types: New Vehicles Join the Race. Human Gene Therapy. 29(5). 547–558. 37 indexed citations
11.
12.
Dörrie, Jan, Christian Hofmann, Ina Müller, et al.. (2014). Human Adenovirus-Specific γ/δ and CD8+ T Cells Generated by T-Cell Receptor Transfection to Treat Adenovirus Infection after Allogeneic Stem Cell Transplantation. PLoS ONE. 9(10). e109944–e109944. 22 indexed citations
13.
Rubner, Yvonne, Lisa Deloch, Benjamin Frey, et al.. (2014). Norm- and hypo-fractionated radiotherapy is capable of activating human dendritic cells. Journal of Immunotoxicology. 11(4). 328–336. 62 indexed citations
14.
Zinser, Elisabeth, Erwin Strasser, Jan Dörrie, et al.. (2013). Leukoreduction system chambers are an efficient, valid, and economic source of functional monocyte-derived dendritic cells and lymphocytes. Immunobiology. 218(11). 1392–1401. 39 indexed citations
15.
Shimizu, Kanako, Takuya Mizuno, Jun Shinga, et al.. (2012). Vaccination with Antigen-Transfected, NKT Cell Ligand–Loaded, Human Cells Elicits Robust In Situ Immune Responses by Dendritic Cells. Cancer Research. 73(1). 62–73. 32 indexed citations
16.
Lehner, Manfred, Niels Schaft, Jan Dörrie, et al.. (2012). Redirecting T Cells to Ewing's Sarcoma Family of Tumors by a Chimeric NKG2D Receptor Expressed by Lentiviral Transduction or mRNA Transfection. PLoS ONE. 7(2). e31210–e31210. 98 indexed citations
17.
Knippertz, Ilka, Jan Dörrie, Niels Schaft, et al.. (2011). Mild hyperthermia enhances human monocyte-derived dendritic cell functions and offers potential for applications in vaccination strategies. International Journal of Hyperthermia. 27(6). 591–603. 68 indexed citations
18.
Schaft, Niels, Jan Dörrie, Verena Beck, et al.. (2005). Generation of an optimized polyvalent monocyte-derived dendritic cell vaccine by transfecting defined RNAs after rather than before maturation. The Journal of Immunology. 174(9). 5884–5884. 3 indexed citations
19.
Schaft, Niels, Jan Dörrie, Verena Beck, et al.. (2005). Generation of an Optimized Polyvalent Monocyte-Derived Dendritic Cell Vaccine by Transfecting Defined RNAs after Rather Than before Maturation. The Journal of Immunology. 174(5). 3087–3097. 115 indexed citations
20.
Schaft, Niels, Jan Dörrie, Ina Müller, et al.. (2005). A new way to generate cytolytic tumor-specific T cells: electroporation of RNA coding for a T cell receptor into T lymphocytes. Cancer Immunology Immunotherapy. 55(9). 1132–1141. 92 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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