Mohamed-Reda Benmebarek

1.7k total citations · 1 hit paper
17 papers, 686 citations indexed

About

Mohamed-Reda Benmebarek is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Mohamed-Reda Benmebarek has authored 17 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 7 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Mohamed-Reda Benmebarek's work include CAR-T cell therapy research (9 papers), Nanowire Synthesis and Applications (5 papers) and Immune Cell Function and Interaction (4 papers). Mohamed-Reda Benmebarek is often cited by papers focused on CAR-T cell therapy research (9 papers), Nanowire Synthesis and Applications (5 papers) and Immune Cell Function and Interaction (4 papers). Mohamed-Reda Benmebarek collaborates with scholars based in Germany, United States and Italy. Mohamed-Reda Benmebarek's co-authors include Sebastian Kobold, Stefan Endres, Bruno L. Cadilha, Stefanie Lesch, Clara H. Karches, Stefan Stoiber, Marion Subklewe, Tim F. Greten, Yuta Myojin and Benjamin Ruf and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Mohamed-Reda Benmebarek

16 papers receiving 677 citations

Hit Papers

Killing Mechanisms of Chimeric Antigen Receptor (CAR) T C... 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
Mohamed-Reda Benmebarek Germany 9 594 259 213 190 148 17 686
Stefanie Lesch Germany 8 686 1.2× 278 1.1× 284 1.3× 211 1.1× 188 1.3× 10 798
Zhenlong Ye China 13 593 1.0× 342 1.3× 330 1.5× 171 0.9× 162 1.1× 19 909
John Lattin United States 5 648 1.1× 294 1.1× 256 1.2× 213 1.1× 162 1.1× 8 742
Dylan J. Drakes United States 4 606 1.0× 289 1.1× 236 1.1× 220 1.2× 161 1.1× 5 711
Zakaria Grada United States 8 467 0.8× 171 0.7× 148 0.7× 207 1.1× 144 1.0× 15 551
Qiting Wu China 13 573 1.0× 323 1.2× 203 1.0× 173 0.9× 141 1.0× 26 745
Eugenia Zah United States 4 659 1.1× 211 0.8× 231 1.1× 269 1.4× 176 1.2× 5 700
Anne Silva-Benedict United States 4 842 1.4× 257 1.0× 277 1.3× 375 2.0× 254 1.7× 4 876
Birju Mehta United States 9 619 1.0× 234 0.9× 176 0.8× 170 0.9× 234 1.6× 17 683
Huiping Gao China 12 616 1.0× 392 1.5× 248 1.2× 142 0.7× 90 0.6× 22 889

Countries citing papers authored by Mohamed-Reda Benmebarek

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed-Reda Benmebarek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed-Reda Benmebarek. 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 Mohamed-Reda Benmebarek. The network helps show where Mohamed-Reda Benmebarek may publish in the future.

Co-authorship network of co-authors of Mohamed-Reda Benmebarek

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

All Works

17 of 17 papers shown
1.
Huang, Patrick, Xin Wang, Noémi Kedei, et al.. (2025). SPP1 + macrophages cause exhaustion of tumor-specific T cells in liver metastases. Nature Communications. 16(1). 4242–4242. 12 indexed citations
2.
Ruf, Benjamin, Patrick Huang, Chi Ma, et al.. (2025). Activating Mucosal-Associated Invariant T (MAIT) cells for next generation immunotherapy of liver cancer. Zeitschrift für Gastroenterologie. 63. 1 indexed citations
3.
Caballé, Adrià, et al.. (2024). Abstract A017: Targeting Tlk2 impairs breast cancer growth and engages immune responses. Cancer Research. 84(1_Supplement). A017–A017. 2 indexed citations
4.
Cadilha, Bruno L., Mohamed-Reda Benmebarek, Florian Märkl, et al.. (2023). Rational design of PD-1-CD28 immunostimulatory fusion proteins for CAR T cell therapy. British Journal of Cancer. 129(4). 696–705. 10 indexed citations
5.
Green, Benjamin L., Yuta Myojin, Chi Ma, et al.. (2023). Immunosuppressive CD29 + Treg accumulation in the liver in mice on checkpoint inhibitor therapy. Gut. 73(3). 509–520. 7 indexed citations
6.
Myojin, Yuta, Justin McCallen, Chi Ma, et al.. (2023). Adenosine A2a receptor inhibition increases the anti-tumor efficacy of anti-PD1 treatment in murine hepatobiliary cancers. JHEP Reports. 6(1). 100959–100959. 12 indexed citations
7.
Bauer, Kylynda C., Benjamin Ruf, Yuta Myojin, et al.. (2023). 988 Vagal-CD8+ T cell neuroimmune axis modulates liver cancer. SHILAP Revista de lepidopterología. A1095–A1095.
8.
Benmebarek, Mohamed-Reda, Cihan Oguz, Benjamin Ruf, et al.. (2023). 472 Anti-VEGF treatment amplifies immune checkpoint inhibitor induced immune responses by targeting B and regulatory T cells. SHILAP Revista de lepidopterología. A531–A531. 1 indexed citations
9.
Stock, Sophia, Mohamed-Reda Benmebarek, Christian Jöst, et al.. (2022). Chimeric antigen receptor T cells engineered to recognize the P329G-mutated Fc part of effector-silenced tumor antigen-targeting human IgG1 antibodies enable modular targeting of solid tumors. Journal for ImmunoTherapy of Cancer. 10(7). e005054–e005054. 19 indexed citations
10.
Dezfouli, Ali Bashiri, Mohamed-Reda Benmebarek, Dirk Geerts, et al.. (2022). CAR T Cells Targeting Membrane-Bound Hsp70 on Tumor Cells Mimic Hsp70-Primed NK Cells. Frontiers in Immunology. 13. 883694–883694. 14 indexed citations
11.
Benmebarek, Mohamed-Reda, Tim F. Greten, Cecilia Monge, et al.. (2022). 419 Combined anti-VEGF, anti-CTLA4 and anti-PDL1 treatment induces strong immune responses in patients with cholangiocarcinoma: results from a clinical trial/in depth correlative studies and mouse studies. Regular and Young Investigator Award Abstracts. A441–A441. 2 indexed citations
12.
Benmebarek, Mohamed-Reda, Bruno L. Cadilha, Stefanie Lesch, et al.. (2021). P07.01 A modular and controllable T cell therapy platform for AML. Poster presentations. A22.2–A23. 1 indexed citations
13.
Schwerdtfeger, Melanie, Mohamed-Reda Benmebarek, Stefan Endres, et al.. (2021). Chimeric Antigen Receptor–Modified T Cells and T Cell–Engaging Bispecific Antibodies: Different Tools for the Same Job. Current Hematologic Malignancy Reports. 16(2). 218–233. 6 indexed citations
14.
Silvestri, Alessandra, Mohamed-Reda Benmebarek, Juliette Mouriès, et al.. (2021). Paralysis of the cytotoxic granule machinery is a new cancer immune evasion mechanism mediated by chitinase 3-like-1. Journal for ImmunoTherapy of Cancer. 9(11). e003224–e003224. 18 indexed citations
15.
Stoiber, Stefan, Bruno L. Cadilha, Mohamed-Reda Benmebarek, et al.. (2019). Limitations in the Design of Chimeric Antigen Receptors for Cancer Therapy. Cells. 8(5). 472–472. 140 indexed citations
16.
Benmebarek, Mohamed-Reda, Clara H. Karches, Bruno L. Cadilha, et al.. (2019). Killing Mechanisms of Chimeric Antigen Receptor (CAR) T Cells. International Journal of Molecular Sciences. 20(6). 1283–1283. 377 indexed citations breakdown →
17.
Lesch, Stefanie, Mohamed-Reda Benmebarek, Bruno L. Cadilha, et al.. (2019). Determinants of response and resistance to CAR T cell therapy. Seminars in Cancer Biology. 65. 80–90. 64 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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