Marcela V. Maus
- Oncology top 0.05%
- Molecular Biology top 1%
- Immunology top 0.2%
- Biomedical Engineering top 0.5%
- Genetics top 0.2%
- Co-authors
- Carl H. JuneRebecca C. LarsonBruce L. LevineYangbing ZhaoIrene ScarfòMatthew J. FrigaultAndrea SchmidtsStephan A. Grupp
- Topics
- CAR-T cell therapy research (183 papers)Nanowire Synthesis and Applications (46 papers)Virus-based gene therapy research (45 papers)
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Marcela V. Maus
189 papers receiving 13.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Oncology 10.1k
- Molecular Biology 5.0k
- Immunology 4.9k
- Biomedical Engineering 3.5k
- Genetics 3.4k
Countries citing papers authored by Marcela V. Maus
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 9 | |
| 10 | The future of engineered immune cell therapiesbreakdown → | 124 |
| 11 | 180 | |
| 12 | 18 | |
| 13 | 160 | |
| 14 | 54 | |
| 15 | 105 | |
| 16 | Enhancing T cell therapy through TCR-signaling-responsive nanoparticle drug deliverybreakdown → | 542 |
| 17 | 141 | |
| 18 | 59 | |
| 19 | Mesothelin-Specific Chimeric Antigen Receptor mRNA-Engineered T Cells Induce Antitumor Activity in Solid Malignanciesbreakdown → | 693 |
| 20 | 92 |
About Marcela V. Maus
Marcela V. Maus is a scholar working on Oncology, Immunology and Genetics, having authored 207 papers that have together received 14.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (183 papers), Nanowire Synthesis and Applications (46 papers) and Virus-based gene therapy research (45 papers). The work is most often cited by research in Oncology (10.1k citations), Immunology (4.9k citations) and Genetics (3.4k citations). Marcela V. Maus has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.