David Mai
Impact in
-
- CAR-T cell therapy research
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
- Characterization and Applications of Magnetic Nanoparticles
- Nanowire Synthesis and Applications
Papers in
- Oncology 8
- CAR-T cell therapy research 8
-
- Nanowire Synthesis and Applications 3
- Characterization and Applications of Magnetic Nanoparticles 2
- Co-authors
- Neil C. Sheppard (9 shared papers)Carl H. June (8 shared papers)Michael J. Mitchell (4 shared papers)Alex G. Hamilton (3 shared papers)Margaret M. Billingsley (3 shared papers)Kelsey L. Swingle (2 shared papers)Ningqiang Gong (3 shared papers)Savan K. Patel (1 shared paper)
- Journals
- Nano Letters (1 paper)Scientific Reports (1 paper)ACS Synthetic Biology (1 paper)The Journal of Physical Chemistry C (1 paper)Advanced Healthcare Materials (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
David Mai
14 papers receiving 544 citations
David Mai's Hit Papers
Peers
Comparison fields: 5 of 76
- Oncology 198
- Biomedical Engineering 265
- Immunology 126
- Biomaterials 67
- Molecular Biology 270
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 | 133 | |
| 2 | 2023 | 109 | |
| 3 | 2018 | 77 | |
| 4 | Ionizable Lipid Nanoparticles with Integrated Immune Checkpoint Inhibition for mRNA CAR T Cell Engineering Hit paper breakdown → | 2023 | 66 |
| 5 | 2023 | 51 | |
| 6 | 2024 | 48 | |
| 7 | 2021 | 32 | |
| 8 | 2022 | 23 | |
| 9 | 2025 | 2 | |
| 10 | Urban Cycling Expansion is Associated with an Increased Number of Clavicle Fractures. | 2020 | 2 |
| 11 | 2022 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 |
About David Mai
David Mai is a scholar working on Oncology, Biomedical Engineering, Molecular Biology, Genetics and Immunology, having authored 15 papers that have together received 549 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Nanowire Synthesis and Applications (3 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Characterization and Applications of Magnetic Nanoparticles (2 papers), Immune Cell Function and Interaction (2 papers) and Spine and Intervertebral Disc Pathology (1 paper). The work is most often cited by research in Oncology (198 citations), Biomedical Engineering (265 citations), Immunology (126 citations), Biomaterials (67 citations) and Molecular Biology (270 citations). David Mai has collaborated with scholars based in United States and Russia. Frequent co-authors include Neil C. Sheppard, Carl H. June, Michael J. Mitchell, Alex G. Hamilton, Margaret M. Billingsley, Kelsey L. Swingle, Ningqiang Gong, Savan K. Patel, Ajay S. Thatte and Xuexiang Han. Their work appears in journals such as Nano Letters, Scientific Reports, ACS Synthetic Biology, The Journal of Physical Chemistry C and Advanced Healthcare Materials.
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.