Marcela V. Maus

32.4k total citations · 19 hit papers
207 papers, 14.0k citations indexed

About

Marcela V. Maus is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Marcela V. Maus has authored 207 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 183 papers in Oncology, 58 papers in Immunology and 54 papers in Molecular Biology. Recurrent topics in Marcela V. Maus's work include CAR-T cell therapy research (183 papers), Nanowire Synthesis and Applications (46 papers) and Virus-based gene therapy research (45 papers). Marcela V. Maus is often cited by papers focused on CAR-T cell therapy research (183 papers), Nanowire Synthesis and Applications (46 papers) and Virus-based gene therapy research (45 papers). Marcela V. Maus collaborates with scholars based in United States, United Kingdom and Germany. Marcela V. Maus's co-authors include Carl H. June, Rebecca C. Larson, Bruce L. Levine, Yangbing Zhao, Irene Scarfò, Matthew J. Frigault, Andrea Schmidts, Stephan A. Grupp, Michael Kalos and Stefanie R. Bailey and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Marcela V. Maus

189 papers receiving 13.8k citations

Hit Papers

Mesothelin-Specific Chimeric Antigen Receptor mRNA-Engine... 2007 2026 2013 2019 2013 2007 2021 2018 2014 200 400 600

Peers

Marcela V. Maus
Michael C. Milone United States
Isabelle Rivière United States
Michael Kalos United States
J. Joseph Melenhorst United States
Simon F. Lacey United States
Barbara Savoldo United States
Renier J. Brentjens United States
Crystal L. Mackall United States
Steven A. Feldman United States
Stephen Gottschalk United States
Michael C. Milone United States
Marcela V. Maus
Citations per year, relative to Marcela V. Maus Marcela V. Maus (= 1×) peers Michael C. Milone

Countries citing papers authored by Marcela V. Maus

Since Specialization
Citations

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

Fields of papers citing papers by Marcela V. Maus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcela V. Maus. 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 Marcela V. Maus. The network helps show where Marcela V. Maus may publish in the future.

Co-authorship network of co-authors of Marcela V. Maus

This figure shows the co-authorship network connecting the top 25 collaborators of Marcela V. Maus. A scholar is included among the top collaborators of Marcela V. Maus 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 Marcela V. Maus. Marcela V. Maus 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.
Gustine, Joshua, Andrew R. Branagan, Diana Cirstea, et al.. (2025). Impact of clonal hematopoiesis on clinical outcomes to BCMA CAR-T in multiple myeloma. Blood Advances. 9(12). 3026–3030. 1 indexed citations
2.
Bouffard, Amanda A., Mark B. Leick, Nicholas J. Haradhvala, et al.. (2025). On-target off-tumor toxicity of claudin18.2-directed CAR-T cells in preclinical models. Nature Communications. 16(1). 9650–9650.
3.
Ellithi, Moataz, Magdi Elsallab, Matthew A. Lunning, et al.. (2024). Neurotoxicity and Rare Adverse Events in BCMA-Directed CAR T Cell Therapy: A Comprehensive Analysis of Real-World FAERS Data. Transplantation and Cellular Therapy. 31(2). 71.e1–71.e14. 11 indexed citations
4.
Elsallab, Magdi, Florence T. Bourgeois, & Marcela V. Maus. (2024). National Survey of FACT-Accredited Cell Processing Facilities: Assessing Preparedness for Local Manufacturing of Immune Effector Cells. Transplantation and Cellular Therapy. 30(6). 626.e1–626.e11. 4 indexed citations
6.
Punekar, Salman R., J. Randolph Hecht, Diane M. Simeone, et al.. (2024). EVEREST-2: A seamless phase 1/2 study of A2B694, a mesothelin (MSLN) logic-gated Tmod CAR T-cell therapy, in patients with solid tumors that show MSLN expression and human leukocyte antigen (HLA)-A*02 loss of heterozygosity (LOH).. Journal of Clinical Oncology. 42(16_suppl). TPS2699–TPS2699. 5 indexed citations
7.
Nix, Matthew A., Huimin Geng, Rebecca C. Larson, et al.. (2023). Affinity Matured CD72 CAR-T Improves Efficacy Versus Low Antigen Density B-Cell Non-Hodgkin Lymphoma Models. Blood. 142(Supplement 1). 2068–2068. 1 indexed citations
8.
Larson, Rebecca C., Michael C. Kann, Charlotte Graham, et al.. (2023). Anti-TACI single and dual-targeting CAR T cells overcome BCMA antigen loss in multiple myeloma. Nature Communications. 14(1). 7509–7509. 23 indexed citations
9.
Pourzia, Alexandra L., Michael Olson, Stefanie R. Bailey, et al.. (2023). Quantifying requirements for mitochondrial apoptosis in CAR T killing of cancer cells. Cell Death and Disease. 14(4). 267–267. 9 indexed citations
10.
Irvine, Darrell J., Marcela V. Maus, David Mooney, & Wilson W. Wong. (2022). The future of engineered immune cell therapies. Science. 378(6622). 853–858. 124 indexed citations breakdown →
11.
Jan, Max, Irene Scarfò, Rebecca C. Larson, et al.. (2021). Reversible ON- and OFF-switch chimeric antigen receptors controlled by lenalidomide. Science Translational Medicine. 13(575). 180 indexed citations
12.
Schmidts, Andrea, Amanda A. Bouffard, Angela C. Boroughs, et al.. (2020). Cell-based artificial APC resistant to lentiviral transduction for efficient generation of CAR-T cells from various cell sources. Journal for ImmunoTherapy of Cancer. 8(2). e000990–e000990. 18 indexed citations
13.
Frigault, Matthew J., Jörg Dietrich, María Martínez-Lage, et al.. (2019). Tisagenlecleucel CAR T-cell therapy in secondary CNS lymphoma. Blood. 134(11). 860–866. 160 indexed citations
14.
Fishman, Jay A., et al.. (2018). Inflammatory and Infectious Syndromes Associated With Cancer Immunotherapies. Clinical Infectious Diseases. 69(6). 909–920. 54 indexed citations
15.
Scarfò, Irene, Maria Ormhøj, Matthew J. Frigault, et al.. (2018). Anti-CD37 chimeric antigen receptor T cells are active against B- and T-cell lymphomas. Blood. 132(14). 1495–1506. 105 indexed citations
16.
Tang, Li, Yiran Zheng, Mariane B. Melo, et al.. (2018). Enhancing T cell therapy through TCR-signaling-responsive nanoparticle drug delivery. Nature Biotechnology. 36(8). 707–716. 542 indexed citations breakdown →
17.
Ruella, Marco, Saad S. Kenderian, Olga Shestova, et al.. (2016). The Addition of the BTK Inhibitor Ibrutinib to Anti-CD19 Chimeric Antigen Receptor T Cells (CART19) Improves Responses against Mantle Cell Lymphoma. Clinical Cancer Research. 22(11). 2684–2696. 141 indexed citations
18.
Fesnak, Andrew D., et al.. (2016). CAR-T Cell Therapies From the Transfusion Medicine Perspective. Transfusion Medicine Reviews. 30(3). 139–145. 59 indexed citations
19.
Beatty, Gregory L., Andrew R. Haas, Marcela V. Maus, et al.. (2013). Mesothelin-Specific Chimeric Antigen Receptor mRNA-Engineered T Cells Induce Antitumor Activity in Solid Malignancies. Cancer Immunology Research. 2(2). 112–120. 693 indexed citations breakdown →
20.
Maus, Marcela V., et al.. (1999). Prolactin as a Chemoattractant for Human Breast Carcinoma. Endocrinology. 140(11). 5447–5450. 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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