David A. McBride
Impact in
- Pharmaceutical Science top 2%
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
-
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
- Immune cells in cancer 1
- Oncology 5
- CAR-T cell therapy research 4
- Co-authors
- Nisarg J. Shah (12 shared papers)Sourabh Shukla (1 shared paper)Amir Nourhani (1 shared paper)Nicole F. Steinmetz (1 shared paper)Chao Wang (1 shared paper)Ricardo Rueda (1 shared paper)Joseph Wang (1 shared paper)Fernando Soto (1 shared paper)
- Journals
- Bioengineering & Translational Medicine (2 papers)Nature Reviews Rheumatology (1 paper)ACS Nano (1 paper)Advanced Materials (1 paper)Biomaterials Science (1 paper)
- Partner nations
- United StatesSwedenJapan
In The Last Decade
David A. McBride
12 papers receiving 383 citations
Peers
Comparison fields: 5 of 79
- Pharmaceutical Science 144
- Dermatology 57
- Immunology 87
- Critical Care and Intensive Care Medicine 13
- Rehabilitation 14
Countries citing papers authored by David A. McBride
This map shows the geographic impact of David A. McBride'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 A. McBride with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. McBride more than expected).
Fields of papers citing papers by David A. McBride
This network shows the impact of papers produced by David A. McBride. 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 A. McBride. The network helps show where David A. McBride may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. McBride, 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 | 2019 | 224 | |
| 2 | 2022 | 38 | |
| 3 | 2021 | 32 | |
| 4 | 2020 | 29 | |
| 5 | 2024 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2025 | 0 |
About David A. McBride
David A. McBride is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 13 papers that have together received 389 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune cells in cancer (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Pharmaceutical Science (144 citations), Dermatology (57 citations), Immunology (87 citations), Critical Care and Intensive Care Medicine (13 citations) and Rehabilitation (14 citations). David A. McBride has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Nisarg J. Shah, Sourabh Shukla, Amir Nourhani, Nicole F. Steinmetz, Chao Wang, Ricardo Rueda, Joseph Wang, Fernando Soto, Jonathan K. Pokorski and Daniel Kupor. Their work appears in journals such as Bioengineering & Translational Medicine, Nature Reviews Rheumatology, ACS Nano, Advanced Materials and Biomaterials Science.
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.