Markus Barden

430 total citations
9 papers, 174 citations indexed

About

Markus Barden is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Markus Barden has authored 9 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Markus Barden's work include CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Markus Barden is often cited by papers focused on CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Markus Barden collaborates with scholars based in Germany, Austria and Denmark. Markus Barden's co-authors include Hinrich Abken, Astrid Holzinger, Andreas Hombach, Markus Chmielewski, Agapios Sachinidis, Gunter Rappl, Dennis Christoph Harrer, Árpád Szöőr, Gerhard J. Schütz and Hong Pan and has published in prestigious journals such as Frontiers in Immunology, Molecular Therapy and Journal of Immunological Methods.

In The Last Decade

Markus Barden

7 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Barden Germany	6	157	69	50	46	44	9	174
Juliana Dias United Kingdom	5	158 1.0×	41 0.6×	69 1.4×	74 1.6×	43 1.0×	6	182
John Pineda United States	6	174 1.1×	50 0.7×	51 1.0×	46 1.0×	68 1.5×	11	206
Jiangqing Chen China	7	218 1.4×	108 1.6×	64 1.3×	96 2.1×	57 1.3×	9	282
Olivia Sirpilla United States	5	161 1.0×	66 1.0×	54 1.1×	72 1.6×	42 1.0×	9	208
Leticia Bosshard‐Carter United Kingdom	5	151 1.0×	55 0.8×	64 1.3×	41 0.9×	40 0.9×	5	162
Kuangyi Zhou United States	7	193 1.2×	158 2.3×	32 0.6×	56 1.2×	29 0.7×	7	246
Daniel Ngai United States	4	161 1.0×	71 1.0×	51 1.0×	40 0.9×	48 1.1×	4	201
Nikolaos Gkitsas United States	8	155 1.0×	67 1.0×	34 0.7×	85 1.8×	51 1.2×	10	189
Michelle J. Cox United States	8	129 0.8×	30 0.4×	38 0.8×	46 1.0×	43 1.0×	24	144
Stefan Stoiber Germany	3	238 1.5×	94 1.4×	98 2.0×	72 1.6×	58 1.3×	4	249

Countries citing papers authored by Markus Barden

Since Specialization

Citations

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

Fields of papers citing papers by Markus Barden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Barden

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Barden. A scholar is included among the top collaborators of Markus Barden 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 Markus Barden. Markus Barden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Ormhøj, Maria, et al.. (2025). Development of antigen multimers for detection and evaluation of CAR T cells. Cancer Immunology Immunotherapy. 74(11). 344–344.

2.

Barden, Markus, Árpád Szöőr, Dennis Christoph Harrer, et al.. (2024). Integrating binding affinity and tonic signaling enables a rational CAR design for augmented T cell function. Journal for ImmunoTherapy of Cancer. 12(12). e010208–e010208. 5 indexed citations

3.

Harrer, Dennis Christoph, Matthias Eder, Markus Barden, et al.. (2024). Ectopic PU.1 Expression Provides Chimeric Antigen Receptor (CAR) T Cells with Innate Cell Capacities Including IFN-β Release. Cancers. 16(15). 2737–2737.

4.

Harrer, Dennis Christoph, et al.. (2024). Magnetic CAR T cell purification using an anti-G4S linker antibody. Journal of Immunological Methods. 528. 113667–113667. 1 indexed citations

5.

Barden, Markus, Astrid Holzinger, Árpád Szöőr, et al.. (2023). CAR and TCR form individual signaling synapses and do not cross-activate, however, can co-operate in T cell activation. Frontiers in Immunology. 14. 1110482–1110482. 14 indexed citations

6.

Harrer, Dennis Christoph, et al.. (2023). Fine-tuning the antigen sensitivity of CAR T cells: emerging strategies and current challenges. Frontiers in Immunology. 14. 1321596–1321596. 8 indexed citations

7.

Harrer, Dennis Christoph, Jordan Hartley, Markus Barden, et al.. (2022). CAR Triggered Release of Type-1 Interferon Limits CAR T-Cell Activities by an Artificial Negative Autocrine Loop. Cells. 11(23). 3839–3839. 9 indexed citations

8.

Hombach, Andreas, Markus Barden, Markus Chmielewski, et al.. (2021). IL12 integrated into the CAR exodomain converts CD8+ T cells to poly-functional NK-like cells with superior killing of antigen-loss tumors. Molecular Therapy. 30(2). 593–605. 38 indexed citations

9.

Holzinger, Astrid, Markus Barden, & Hinrich Abken. (2016). The growing world of CAR T cell trials: a systematic review. Cancer Immunology Immunotherapy. 65(12). 1433–1450. 99 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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