Mathias Oelke

2.4k total citations
63 papers, 2.0k citations indexed

About

Mathias Oelke is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Mathias Oelke has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Immunology, 35 papers in Oncology and 16 papers in Epidemiology. Recurrent topics in Mathias Oelke's work include Immunotherapy and Immune Responses (38 papers), Immune Cell Function and Interaction (35 papers) and CAR-T cell therapy research (31 papers). Mathias Oelke is often cited by papers focused on Immunotherapy and Immune Responses (38 papers), Immune Cell Function and Interaction (35 papers) and CAR-T cell therapy research (31 papers). Mathias Oelke collaborates with scholars based in United States, Germany and Taiwan. Mathias Oelke's co-authors include Jonathan P. Schneck, Andréas Mackensen, Karlo Perica, Juan Carlos Varela, Tonya J. Webb, Dominic Didiano, Carl H. June, Marcela V. Maus, Robert Giuntoli and Alessia Zoso and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Mathias Oelke

61 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Oelke United States 24 1.4k 947 451 240 227 63 2.0k
Judit Svensson‐Arvelund Sweden 17 1.7k 1.2× 618 0.7× 461 1.0× 229 1.0× 175 0.8× 27 2.2k
Yoshihiro Miyahara Japan 21 1.3k 0.9× 839 0.9× 488 1.1× 180 0.8× 129 0.6× 61 1.9k
Jason R. Baird United States 23 1.3k 0.9× 941 1.0× 492 1.1× 233 1.0× 166 0.7× 40 2.0k
Jaap Oostendorp Netherlands 20 2.2k 1.6× 1.2k 1.3× 1.0k 2.3× 163 0.7× 732 3.2× 36 3.1k
Yannis Morel France 19 2.0k 1.4× 764 0.8× 649 1.4× 186 0.8× 197 0.9× 52 2.6k
Joyce C. Solheim United States 30 1.6k 1.1× 714 0.8× 1.1k 2.3× 113 0.5× 207 0.9× 94 2.7k
Stephen H. Wrzesinski United States 13 1.0k 0.7× 872 0.9× 705 1.6× 325 1.4× 81 0.4× 20 2.1k
Andrea Tuettenberg Germany 21 1.8k 1.3× 555 0.6× 452 1.0× 88 0.4× 147 0.6× 53 2.4k
Jifeng Yu China 19 694 0.5× 545 0.6× 508 1.1× 235 1.0× 113 0.5× 77 1.8k
Tomoharu Sugie Japan 25 674 0.5× 656 0.7× 278 0.6× 256 1.1× 100 0.4× 87 1.9k

Countries citing papers authored by Mathias Oelke

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Oelke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Oelke

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Oelke. A scholar is included among the top collaborators of Mathias Oelke 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 Mathias Oelke. Mathias Oelke 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.
Bariana, Manpreet, Ariel A. Aptekmann, David S. Siegel, et al.. (2025). Combining antigen-specific T cells with T-cell engager therapy induces a molecular signature that favors T-cell fitness. PubMed. 1(1). 100002–100002.
2.
Ichikawa, Junya, Tatsuya Yoshida, Ariel Isser, et al.. (2020). Rapid Expansion of Highly Functional Antigen-Specific T Cells from Patients with Melanoma by Nanoscale Artificial Antigen-Presenting Cells. Clinical Cancer Research. 26(13). 3384–3396. 34 indexed citations
3.
4.
Tischer, Sabine, Anna Christina Dragon, Sarina Ravens, et al.. (2018). Selective Effects of mTOR Inhibitor Sirolimus on Naïve and CMV-Specific T Cells Extending Its Applicable Range Beyond Immunosuppression. Frontiers in Immunology. 9. 2953–2953. 28 indexed citations
5.
Temkin, Sarah M., Sarah Spiegel, Simeon E. Goldblum, et al.. (2016). VEGF Potentiates GD3-Mediated Immunosuppression by Human Ovarian Cancer Cells. Clinical Cancer Research. 22(16). 4249–4258. 30 indexed citations
6.
Bruns, Heiko, Catherine Bessell, Juan Carlos Varela, et al.. (2015). CD47 Enhances In Vivo Functionality of Artificial Antigen-Presenting Cells. Clinical Cancer Research. 21(9). 2075–2083. 21 indexed citations
7.
Perica, Karlo, Juan Carlos Varela, Mathias Oelke, & Jonathan P. Schneck. (2015). Adoptive T Cell Immunotherapy For Cancer. SHILAP Revista de lepidopterología. 6(1). e0004–e0004. 168 indexed citations
8.
Webb, Tonya J., Xiangming Li, Robert Giuntoli, et al.. (2012). Molecular Identification of GD3 as a Suppressor of the Innate Immune Response in Ovarian Cancer. Cancer Research. 72(15). 3744–3752. 74 indexed citations
9.
Tischer, Sabine, Britta Maecker‐Kolhoff, Stephan Immenschuh, et al.. (2011). Heat shock protein 70/peptide complexes: potent mediators for the generation of antiviral T cells particularly with regard to low precursor frequencies. Journal of Translational Medicine. 9(1). 175–175. 12 indexed citations
10.
Oelke, Mathias, et al.. (2011). Decline of influenza-specific CD8+ T cell repertoire in healthy geriatric donors. Immunity & Ageing. 8(1). 6–6. 15 indexed citations
11.
Ugel, Stefano, Alessia Zoso, Carmela De Santo, et al.. (2009). In vivo Administration of Artificial Antigen-Presenting Cells Activates Low-Avidity T Cells for Treatment of Cancer. Cancer Research. 69(24). 9376–9384. 56 indexed citations
12.
13.
Durai, Malarvizhi, Zhaohui Ye, Linzhao Cheng, et al.. (2008). In vivo functional efficacy of tumor-specific T cells expanded using HLA-Ig based artificial antigen presenting cells (aAPC). Cancer Immunology Immunotherapy. 58(2). 209–220. 43 indexed citations
14.
Schneck, Jonathan P., et al.. (2004). Quality and quantity: new strategies to improve immunotherapy of cancer. Trends in Molecular Medicine. 10(5). 205–208. 1 indexed citations
15.
Oelke, Mathias & Jonathan P. Schneck. (2004). HLA-Ig-based artificial antigen-presenting cells: setting the terms of engagement. Clinical Immunology. 110(3). 243–251. 22 indexed citations
16.
Batsford, Stephen, Emile Schiltz, Mathias Oelke, et al.. (2003). Identification of beta-subunit of bacterial RNA-polymerase--a non-species-specific bacterial protein--as target of antibodies in primary biliary cirrhosis.. Digestive Diseases and Sciences. 48(3). 561–569. 10 indexed citations
17.
Oelke, Mathias, Marcela V. Maus, Dominic Didiano, et al.. (2003). Ex vivo induction and expansion of antigen-specific cytotoxic T cells by HLA-Ig–coated artificial antigen-presenting cells. Nature Medicine. 9(5). 619–625. 256 indexed citations
18.
Kurokawa, Toshiro, Mathias Oelke, & Andréas Mackensen. (2001). Induction and clonal expansion of tumor-specific cytotoxic T lymphocytes from renal cell carcinoma patients after stimulation with autologous dendritic cells loaded with tumor cells. International Journal of Cancer. 91(6). 749–756. 61 indexed citations
19.
Oelke, Mathias, et al.. (2000). Generation and purification of CD8+ melan-A-specific cytotoxic T lymphocytes for adoptive transfer in tumor immunotherapy.. PubMed. 6(5). 1997–2005. 73 indexed citations
20.
Oelke, Mathias, Toshiro Kurokawa, Dirk Behringer, et al.. (2000). Functional Characterization of CD8+ Antigen-Specific Cytotoxic T Lymphocytes after Enrichment Based on Cytokine Secretion: Comparison with the MHC-Tetramer Technology. Scandinavian Journal of Immunology. 52(6). 544–549. 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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