Thomas Nerreter

2.2k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Thomas Nerreter is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Thomas Nerreter has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 12 papers in Immunology and 11 papers in Molecular Biology. Recurrent topics in Thomas Nerreter's work include CAR-T cell therapy research (16 papers), Immune Cell Function and Interaction (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Thomas Nerreter is often cited by papers focused on CAR-T cell therapy research (16 papers), Immune Cell Function and Interaction (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Thomas Nerreter collaborates with scholars based in Germany, United States and United Kingdom. Thomas Nerreter's co-authors include Michael Hudecek, Hermann Einsele, Julian Rydzek, Katrin Mestermann, Theodoros Giavridis, Andreas Mades, Michel Sadelain, Silke Frenz, Justus Weber and Sören Doose and has published in prestigious journals such as Science, Nature Communications and Blood.

In The Last Decade

Thomas Nerreter

22 papers receiving 1.1k citations

Hit Papers

The tyrosine kinase inhibitor dasatinib acts as a pharmac... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Nerreter Germany 13 853 387 327 322 235 24 1.1k
Maiko Matsushita Japan 11 857 1.0× 344 0.9× 418 1.3× 269 0.8× 302 1.3× 39 1.1k
Lekha Mikkilineni United States 12 783 0.9× 400 1.0× 236 0.7× 197 0.6× 157 0.7× 26 980
Christopher D. Chien United States 16 702 0.8× 450 1.2× 302 0.9× 172 0.5× 249 1.1× 32 1.1k
Scott E. James United States 9 1.0k 1.2× 374 1.0× 482 1.5× 304 0.9× 392 1.7× 12 1.2k
Giacomo Oliveira Italy 14 854 1.0× 405 1.0× 802 2.5× 182 0.6× 237 1.0× 26 1.4k
Yinmeng Yang United States 9 662 0.8× 338 0.9× 325 1.0× 174 0.5× 210 0.9× 18 877
Bruno L. Cadilha Germany 10 945 1.1× 393 1.0× 560 1.7× 277 0.9× 183 0.8× 16 1.3k
Myo Htut United States 15 777 0.9× 621 1.6× 206 0.6× 164 0.5× 115 0.5× 48 1.0k
Haiying Qin United States 19 1.6k 1.9× 742 1.9× 654 2.0× 468 1.5× 558 2.4× 41 2.1k
Carmen S. Yong Australia 12 1.2k 1.4× 455 1.2× 848 2.6× 303 0.9× 313 1.3× 21 1.7k

Countries citing papers authored by Thomas Nerreter

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Nerreter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Nerreter

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Nerreter. A scholar is included among the top collaborators of Thomas Nerreter 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 Nerreter. Thomas Nerreter 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.
Weber, Justus, Charis Kalogirou, Jörg Lehmann, et al.. (2025). ROR2-specific CAR T cells are effective against hematologic and solid tumors and well tolerated in mice. Cell Reports Medicine. 6(10). 102400–102400.
2.
Riester, Zeno, Nicole Seifert, Arindam Ghosh, et al.. (2025). Co-expression of an adapter CAR retains efficacy of CAR T cells after single and dual antigen loss in lymphoma. Molecular Therapy. 34(2). 867–884.
3.
Ghosh, Arindam, Mara Meub, Dominic A. Helmerich, et al.. (2025). Decoding the molecular interplay of CD20 and therapeutic antibodies with fast volumetric nanoscopy. Science. 387(6730). eadq4510–eadq4510. 8 indexed citations
4.
Nerreter, Thomas, Carsten Hagemann, Ralf‐Ingo Ernestus, et al.. (2023). Characterization and Optimization of the Tumor Microenvironment in Patient-Derived Organotypic Slices and Organoid Models of Glioblastoma. Cancers. 15(10). 2698–2698. 5 indexed citations
5.
Peng, Haiyong, et al.. (2022). ROR1-targeting switchable CAR-T cells for cancer therapy. Oncogene. 41(34). 4104–4114. 22 indexed citations
6.
García‐Guerrero, Estefanía, Ralph Götz, Sören Doose, et al.. (2020). Upregulation of CD38 expression on multiple myeloma cells by novel HDAC6 inhibitors is a class effect and augments the efficacy of daratumumab. Leukemia. 35(1). 201–214. 53 indexed citations
7.
Prommersberger, Sabrina, Michael Hudecek, & Thomas Nerreter. (2020). Antibody‐Based CAR T Cells Produced by Lentiviral Transduction. Current Protocols in Immunology. 128(1). e93–e93. 17 indexed citations
8.
Dragon, Anna Christina, Katharina Zimmermann, Thomas Nerreter, et al.. (2020). CAR-T cells and TRUCKs that recognize an EBNA-3C-derived epitope presented on HLA-B*35 control Epstein-Barr virus-associated lymphoproliferation. Journal for ImmunoTherapy of Cancer. 8(2). e000736–e000736. 38 indexed citations
9.
Göttlich, Claudia, Johanna Kühnemundt, Thomas Schwarz, et al.. (2019). ROR1-CAR T cells are effective against lung and breast cancer in advanced microphysiologic 3D tumor models. JCI Insight. 4(18). 154 indexed citations
10.
Mestermann, Katrin, Theodoros Giavridis, Justus Weber, et al.. (2019). The tyrosine kinase inhibitor dasatinib acts as a pharmacologic on/off switch for CAR T cells. Science Translational Medicine. 11(499). 379 indexed citations breakdown →
11.
García‐Cadenas, Irene, Thomas Nerreter, Simone Thomas, et al.. (2018). CAR T-cells targeting FLT3 have potent activity against FLT3−ITD+ AML and act synergistically with the FLT3-inhibitor crenolanib. Leukemia. 32(5). 1168–1179. 153 indexed citations
12.
Rydzek, Julian, Thomas Nerreter, Haiyong Peng, et al.. (2018). Chimeric Antigen Receptor Library Screening Using a Novel NF-κB/NFAT Reporter Cell Platform. Molecular Therapy. 27(2). 287–299. 40 indexed citations
13.
García‐Cadenas, Irene, Thomas Nerreter, Jorge Sierra, et al.. (2018). FLT3 Inhibitor Treatment Increases FLT3 Expression That Exposes FLT3-ITD+ AML Blasts to Elimination By FLT3 CAR-T Cells. Blood. 132(Supplement 1). 903–903. 6 indexed citations
16.
Peng, Haiyong, Thomas Nerreter, Junpeng Qi, et al.. (2017). Mining Naïve Rabbit Antibody Repertoires by Phage Display for Monoclonal Antibodies of Therapeutic Utility. Journal of Molecular Biology. 429(19). 2954–2973. 38 indexed citations
17.
Nerreter, Thomas, et al.. (2014). Dasatinib enhances migration of monocyte-derived dendritic cells by reducing phosphorylation of inhibitory immune receptors Siglec-9 and Siglec-3. Experimental Hematology. 42(9). 773–782.e3. 9 indexed citations
18.
Michaelis, Martin, et al.. (2014). Karanjin interferes with ABCB1, ABCC1, and ABCG2. Journal of Pharmacy & Pharmaceutical Sciences. 17(1). 92–92. 25 indexed citations
19.
Michaelis, Martin, Florian Rothweiler, Thomas Nerreter, et al.. (2014). Association between acquired resistance to PLX4032 (vemurafenib) and ATP-binding cassette transporter expression. BMC Research Notes. 7(1). 710–710. 12 indexed citations
20.
Nerreter, Thomas, et al.. (2013). Combining dasatinib with dexamethasone long-term leads to maintenance of antiviral and antileukemia specific cytotoxic T cell responses in vitro. Experimental Hematology. 41(7). 604–614.e4. 5 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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