David Mai
Impact in
- Oncology top 10%
- CAR-T cell therapy research
-
- Immunotherapy and Immune Responses
Papers in
-
- Nanowire Synthesis and Applications 3
- Biosensors and Analytical Detection 2
- Oncology 8
- CAR-T cell therapy research 8
- Co-authors
- Neil C. Sheppard (10 shared papers)Carl H. June (8 shared papers)Michael J. Mitchell (4 shared papers)Margaret M. Billingsley (3 shared papers)Alex G. Hamilton (3 shared papers)Kelsey L. Swingle (2 shared papers)Ningqiang Gong (3 shared papers)Savan K. Patel (1 shared paper)
- Journals
- mSystems (2 papers)Advanced Healthcare Materials (1 paper)Advanced Materials (1 paper)The Spine Journal (1 paper)Current Opinion in Biomedical Engineering (1 paper)
- Partner nations
- United StatesRussiaAustralia
In The Last Decade
David Mai
18 papers receiving 655 citations
David Mai's Hit Papers
Peers
Comparison fields: 5 of 82
- Oncology 215
- Immunology 144
- Biomedical Engineering 283
- Biomaterials 73
- Molecular Biology 302
Countries citing papers authored by David Mai
This map shows the geographic impact of David Mai'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 David Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mai more than expected).
Fields of papers citing papers by David Mai
This network shows the impact of papers produced by David Mai. 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 David Mai. The network helps show where David Mai may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mai, 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 | 2021 | 145 | |
| 2 | Responsive biomaterials: optimizing control of cancer immunotherapy Hit paper breakdown → | 2023 | 131 |
| 3 | 2018 | 92 | |
| 4 | Ionizable Lipid Nanoparticles with Integrated Immune Checkpoint Inhibition for mRNA CAR T Cell Engineering Hit paper breakdown → | 2023 | 76 |
| 5 | 2024 | 56 | |
| 6 | 2023 | 54 | |
| 7 | 2021 | 37 | |
| 8 | 2022 | 25 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 12 | |
| 11 | 2025 | 4 | |
| 12 | 2021 | 3 | |
| 13 | Urban Cycling Expansion is Associated with an Increased Number of Clavicle Fractures. | 2020 | 2 |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2026 | 0 | |
| 20 | Molecular and Serologic Diagnostic Technologies for SARS-CoV-2. | 2022 | 0 |
About David Mai
David Mai is a scholar working on Biomedical Engineering, Oncology, Molecular Biology, Immunology and Infectious Diseases, having authored 20 papers that have together received 660 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers), RNA Interference and Gene Delivery (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Nanowire Synthesis and Applications (3 papers), Virus-based gene therapy research (3 papers), Immune responses and vaccinations (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Oncology (215 citations), Immunology (144 citations), Biomedical Engineering (283 citations), Biomaterials (73 citations) and Molecular Biology (302 citations). David Mai has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include Neil C. Sheppard, Carl H. June, Michael J. Mitchell, Margaret M. Billingsley, Alex G. Hamilton, Kelsey L. Swingle, Ningqiang Gong, Savan K. Patel, Xuexiang Han and Ajay S. Thatte. Their work appears in journals such as mSystems, Advanced Healthcare Materials, Advanced Materials, The Spine Journal and Current Opinion in Biomedical Engineering.
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.