Tara Murty
Impact in
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- Nanowire Synthesis and Applications
- Innovative Microfluidic and Catalytic Techniques Innovation
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- CAR-T cell therapy research
Papers in
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- Nanowire Synthesis and Applications 2
- 3D Printing in Biomedical Research 2
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- CRISPR and Genetic Engineering 2
- Co-authors
- Crystal L. Mackall (3 shared papers)Stacey C. Skaalure (1 shared paper)Corinne Beinat (2 shared papers)Cesare M. Terracciano (1 shared paper)Matthew A. Hemphill (1 shared paper)Ben M. Maoz (1 shared paper)Stephanie Dauth (1 shared paper)Dietmar W. Hutmacher (1 shared paper)
- Journals
- OncoImmunology (1 paper)Advanced Materials (1 paper)Molecular Therapy (1 paper)Radiology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Tara Murty
5 papers receiving 381 citations
Peers
Comparison fields: 5 of 61
- Biomedical Engineering 262
- Oncology 91
- Cellular and Molecular Neuroscience 64
- Biomaterials 33
- Molecular Medicine 9
Countries citing papers authored by Tara Murty
This map shows the geographic impact of Tara Murty'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 Tara Murty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tara Murty more than expected).
Fields of papers citing papers by Tara Murty
This network shows the impact of papers produced by Tara Murty. 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 Tara Murty. The network helps show where Tara Murty may publish in the future.
Co-authors
The 25 scholars most cited alongside Tara Murty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 181 | |
| 2 | 2016 | 81 | |
| 3 | 2020 | 78 | |
| 4 | 2020 | 27 | |
| 5 | 2021 | 17 | |
| 6 | 2025 | 0 | |
| 7 | 2023 | 0 |
About Tara Murty
Tara Murty is a scholar working on Biomedical Engineering, Molecular Biology, Oncology, Surgery and Genetics, having authored 7 papers that have together received 384 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Nanowire Synthesis and Applications (2 papers), 3D Printing in Biomedical Research (2 papers), CRISPR and Genetic Engineering (2 papers), Virus-based gene therapy research (2 papers), Neuroscience and Neural Engineering (1 paper), Vascular anomalies and interventions (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Biomedical Engineering (262 citations), Oncology (91 citations), Cellular and Molecular Neuroscience (64 citations), Biomaterials (33 citations) and Molecular Medicine (9 citations). Tara Murty has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Crystal L. Mackall, Stacey C. Skaalure, Corinne Beinat, Cesare M. Terracciano, Matthew A. Hemphill, Ben M. Maoz, Stephanie Dauth, Dietmar W. Hutmacher, Sanjiv S. Gambhir and Jennifer L. Puetzer. Their work appears in journals such as OncoImmunology, Advanced Materials, Molecular Therapy, Radiology and Cancer Research.
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.