Matthew J. Frigault
- Oncology top 0.5%
- CAR-T cell therapy research 111
- Immunology top 5%
- Biosimilars and Bioanalytical Methods 14
- Immunotherapy and Immune Responses 9
- Genetics top 2%
- Virus-based gene therapy research 13
- Genetics top 5%
- Virus-based gene therapy research 13
- Biomedical Engineering top 5%
- Nanowire Synthesis and Applications 14
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- Integrated Circuits and Semiconductor Failure Analysis 18
- Advancements in Semiconductor Devices and Circuit Design 16
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- Multiple Myeloma Research and Treatments 12
- Co-authors
- Marcela V. MausMark B. LeickBryan D. ChoiIrene ScarfòAmanda A. BouffardBob S. CarterWilliam T. CurryKathleen Gallagher
- Cited by
- OncologyImmunologyGenetics
- Journals
- Blood (34 papers)Transplantation and Cellular Therapy (12 papers)Journal for ImmunoTherapy of Cancer (8 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Matthew J. Frigault
115 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Oncology 2.9k
- Immunology 851
- Genetics 717
- Genetics 256
- Biomedical Engineering 951
Countries citing papers authored by Matthew J. Frigault
This map shows the geographic impact of Matthew J. Frigault'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 Matthew J. Frigault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Frigault more than expected).
Fields of papers citing papers by Matthew J. Frigault
This network shows the impact of papers produced by Matthew J. Frigault. 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 Matthew J. Frigault. The network helps show where Matthew J. Frigault may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Frigault, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 23 | |
| 16 | 2020 | 0 | |
| 17 | 2020 | 18 | |
| 18 | 2019 | 160 | |
| 19 | 2018 | 105 | |
| 20 | 2015 | 233 |
About Matthew J. Frigault
Matthew J. Frigault is a scholar working on Oncology, Hematology and Immunology, having authored 131 papers that have together received 3.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (111 papers), Integrated Circuits and Semiconductor Failure Analysis (18 papers), Advancements in Semiconductor Devices and Circuit Design (16 papers), Nanowire Synthesis and Applications (14 papers), Biosimilars and Bioanalytical Methods (14 papers), Virus-based gene therapy research (13 papers), Multiple Myeloma Research and Treatments (12 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Oncology (2.9k citations), Immunology (851 citations) and Genetics (717 citations). Matthew J. Frigault has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Marcela V. Maus, Mark B. Leick, Bryan D. Choi, Irene Scarfò, Amanda A. Bouffard, Bob S. Carter, William T. Curry, Kathleen Gallagher, Ana P. Castaño and Andrea Schmidts. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Journal for ImmunoTherapy of Cancer, Blood Advances and Journal of Clinical Oncology.
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.